August 2024 – Get Up And Dance To The Music! Part I

Prelude

Hi y’all mellifluous musical maties. Here we are at the end of August 2024 and rapidly heading once again toward the wintry Christmas season. Yikes! The end of the month means that it is time for another arguably articulate article from your modest meanderingly‑minded author (soz – I got my alliteration addiction in early this month!) We all need a bit of energetic positivity in our lives to counteract the collective downsides of our dysfunctional existence.

You may recall that, since my ‘comeback’ to writing after a near 3‑year hiatus in August 2023, I have so far indulged in a look at three genre‑related topics. These were Dub Reggae (August 2023), Ambient Electronica (September 2023) and Heavy Metal (June 2024). These have been punctuated by other subject matters to mix things up a bit. If you feel so inclined you can access those articles here (each opens in a new tab):

Dub Reggae Revelation

Adventures in Ambient: Music of Another Dimension

Heavy Metal: A Periodic Table

So, for this and next month’s articles, I’m returning to another musical genre that fascinates me. The title above kinda gives the game away. Yep, folks, it’s back to another bit of genre unravelling with a difference – we are taking an in‑depth look at the evolution, current state and possible future of dance music. During writing, I realised that it was going to be WAY too long for an ordinary mortal to absorb in one sitting, so I’ve had to split it into two parts. Part I takes us from pre‑history to the mid‑1950s while Part II next month will bring us up‑to‑date and take a look into a speculative future.

“The dance is the mother of the arts. Music and poetry exist in time; painting and architecture in space. But the dance lives at once in time and space” – Curt Sachs (Musicologist, 1881‑1959)

Get Up And Dance To The Music (courtesy Pexels)

Scope

If you are in any way familiar with CRAVE Guitars’ musings, my main interest in music history dates roughly from the birth of Rock & Roll through the current moment in time and with tentative hints at possible futures. Recognising that dance and dance music didn’t appear fully formed in the mid‑1950s, one also has to look further back into pre‑history, the Middle Ages, the Renaissance, classical times and the rise of contemporary dance after the end of World War I (WWI), all of which provide the soundtrack to the activity known as dance music. While this earlier history isn’t the real focus of the article, it does provide a useful context.

In modern times, following on from explosion of Rock & Roll in the 1950s and the expansion of popularity of Soul and R&B in the early 1960s, something phenomenal happened. It could be argued that two related but quite discrete genres made today’s dance… well… so toe‑tappingly danceable. We are talking ‘bout Funk and Disco. These innovations in irresistibly groovy music is where this article really kicks into gear in Part II. The gamut of dance and dance music is so massive that even two articles seem insufficient to do it fair justice.

“Every music – except dance music, which is for dancing, I suppose – is for the spirit of the human being, and not for the body” – Klaus Schulze (1947‑2022)

It wasn’t only the hippie peace & love counterculture that came to the fore in San Francisco around 1967. It was back in 1967 that Californian Sly & the Family Stone recorded their second studio album called, ‘Dance to the Music’, including the hit single of the same name, both released in April 1968. Sly Stone used the album to promote his beliefs about peace, brotherly love, and anti‑racism, while appealing to a broader pop audience, Sly’s Psychedelic Soul album and single laid the foundation of what would soon become Funk. A milestone was thus laid and it seemed an apt title to semi‑appropriate for this month’s genre article headline.

Sly & The Family Stone weren’t alone, there were other influential Psychedelic Soul artists like The Temptations and The Four Tops around the same time. Following Funk’s awkward birth in the late 1960s, it would soon be reinforced by artists like the Jackson Five and James Brown. All these artists integrated choreographed dance moves into their live and recorded musical performances. Dance music would soon become unstoppable.

The main focus of this article will be delving into the sweaty world of dance music that followed. From the 1960s and 1970s Funk and Disco developed through a broad range of dance (and danceable) music, culminating in what has become generally regarded as EDM (Electric Dance Music) and its more cerebral (?!) counterpart IDM (Intelligent Dance Music) in the 21st Century. While dance music is now widely regarded as belonging to the umbrella Electronica genre, it wasn’t always thus. Far from it, in fact.

“Love is a lot like dancing; you just surrender to the music” – Pierce Brosnan (Actor, 1953‑)

One of the distinctions about modern dance music is that some tracks draw significant acclaim while the rest of an artist’s catalogue may be completely ignored. Such is the DJ’s power to commit (or permit) ‘death on the dancefloor’. The proportion of ‘one hit wonders’ in dance music is quite high, as is the attrition rate for tracks not on trend and therefore not getting exposure they otherwise might have deserved. Similarly, there is a proliferation of various artist dance music compilations that tend to exaggerate this particular characteristic. Focus on the few familiar and relegate the rest.

As with the author’s previous genre articles, there is a heck of a lot of subjectivity about genres and artists within a fundamentally flawed model of arbitrary categorisation. Omissions and inclusions are inevitable. I am certain that both the methodology and outcome will be criticised and challenged. Fair enough. I am, however, unapologetic for putting my approach out there for scrutiny.

Also, as with all my other articles, this is not an academic thesis; the intention is to entertain, rather than educate, although I hope there is something new, thought‑provoking and of interest herein.

As with other genre articles, genres and sub‑genres have been capitalised for clarity and convenience, rather than being typographically and grammatically correct. A great deal of research went into this article – all hard work – no AI shortcuts here.

Right. Time to get into the groove. Let’s hot step onto the virtual dancefloor.

“Do it big; do it right; and do it with style” – Fred Astaire (1899‑1987)


What is ‘Dance’?

Dance, usually accompanied by some form of rhythmic backing, originated in early pre‑historic human communities (and therefore undocumented). We can suppose that dance was used to communicate with spirits, intimidate competitors, celebrate victories, mourn losses and to bind tribal/social relationships. Dance has changed beyond all imagination and adapted to societal change over the millennia, through many different ‘phases’ or ‘eras’. Dance and dance music endures in a diverse range of forms to the current day. Each new genre innovation complements, rather than replaces, what went before, thereby growing appreciation over time.

While it may be obvious, it is worth a quick definition (or two) of ‘dance’ for clarity:

  1. As a verb, to dance means ‘to move rhythmically to music, typically following a set sequence of steps’.
  2. As a noun, dance is ‘a series of steps and movements that match the speed and rhythm of a piece of music’.

There you go. Now we have a general vague idea of what dance is, how does it manifest? Whether it’s an elegant slow waltz, joyous foxtrot, graceful ballet, catchy country line dance, raving at a festival, headbanging in a heavy metal mosh pit, embracing passionately in a ballroom, writhing sensuously in a dark nightclub, jigging at a Celtic céilídh, boogying to funk, voguing at the disco, following cultural tropes in a tradtional folk dance, swinging to jazz, jiving to Rock ‘N’ Roll, moonstomping to Jamaican Ska or dad dancing at a wedding, it really doesn’t matter a jot. Dancing is an integral part of our diverse and colourful human condition. What you dance and how you dance doesn’t matter; the act of dancing seems to be a fundamental part of what it means to be a human bean.

“Dancing is like dreaming with your feet!” – Constanze Mozart (1762‑1842)


Why Dance?

Dance music is unusual in that it serves an actual purpose other than the music in and of itself. Dance is prevalent in every country and predates human history, so there must be a common bond that unites humans in this unnatural form of movement and outward expression. Dancing is predominantly a social activity; other than practising to perfect a skill, it is rarely, if ever, done in isolation.

People have probably been dancing as long as humans have existed as a sentient, cognitive species. Dance has been, and is, inherent in every human civilisation. Dance does, however, vary depending on time and place. Such pervasive prevalence does beg the question of why humans have felt the imperative need to dance over many millennia in every part of the world.

“And those who were seen dancing were thought to be insane by those who could not hear the music” – Friedrich Nietzsche (1844‑1900)

Dance music has one and only one primary function, which is to get humans to move physically in time to the music being played. Beyond movement, we also listen to dance music because the rhythms engage some primordial need to match the beat, as well as to communicate and express emotions but that’s not really the point.

So, why do we dance? Dancing is a physical activity that triggers the brain’s reward and pleasure centres, and bestows a feeling of elation and euphoria. Dancing enhances our emotional, mental, spiritual and physical well‑being.

Dancing is a heuristic skill, learned through doing. Some are good at it, others less so but most of us do it to one degree or another, even if it just matching patterns of movement to music by tapping a foot or drumming fingers to the rhythm.

“Nobody cares if you can’t dance well. Just get up and dance. Great dancers are great because of their passion” – Martha Graham (choreographer, 1894‑1991)

As we grow and learn, dance helps us sense our surroundings, respond appropriately to external stimuli in a safe way and to build physical and psychological experience. Neuroscientists are taking an increasing interest in dancing and its potential health and well‑being benefits.

Some dances are used to tell stories or to confer allegorical meaning. Like many other forms of artistic endeavour, dance music can be used to provoke a physical and emotional response from a willing participant.

 “We dance for laughter, we dance for tears, we dance for madness, we dance for fears, we dance for hopes, we dance for screams, we are the dancers, we create the dreams” – Albert Einstein (1879‑1955)


Music – the Basics

We really don’t need to go into the fundamentals of music here. The topic has been pretty well covered in previous CRAVE Guitars articles. In January 2017, we looked at ‘Why music affects us in the way it does’. We also took a 14‑part look at ‘The Story of Modern Music in 1,500+ Facts’ from March 2019 to May 2020. In those 15 articles, one should be able to establish a solid foundation on the musical context side of things. These articles are all available via the CRAVE Guitars website for those that might like to explore the topic further.

In very broadest terms, and apologies for a sweeping generalisation to make a rather vague point, music can exist in the absence of dance, while dance is normally dependent on music. In contemporary times, a great proportion of dance music tends to rely on rhythm and beat, rather than melody or harmony. The definitions of dance above both count on ‘rhythm’ and therefore dance music relies on instruments that emphasise rhythm. Early dance rhythm and beat were provided by percussive instruments, rather than devices that produced musical notes, which probably developed much later. Chanting and/or singing would often accompany persistent drumming.

“No matter what culture you’re from, everyone loves music” – Billy Joel (1949‑)

For clarity, another couple of helpful musical definitions:

  1. Rhythm is defined as, ‘a strong, regular repeated pattern of movement or sound’.
  2. The beat is defined as, ‘the basic unit of time and the rhythmic pulse that gives a piece of music its tempo and flow’.

Like dance, music is a way of establishing social cohesion, a form of ‘tribal’ social structure that, through innumerable generations of tradition, has persisted over the generations up to today. Dance music is a genre of music that exists primarily for dancing and secondarily for listening. As the author gets older (sadly, I don’t care for this ageing lark one iota), the balance between dancing and listening has moved irrevocably along a continuum from the former to the latter. Having said that, I still enjoy listening to dance music and I dance in my mind, if not with my body.

That’s enough generality and presumption for now. Time to delve a little bit deeper, as long as you have the stamina. Next up, it is time to link dance and music together.

“Music and rhythm find their way into the secret places of the soul” – Plato (c.427‑348BCE)


Music and Dance

Dance music is either live or recorded music that has been composed specifically to enable or accompany the art of dance. Dance doesn’t stand still (sic!), it is a progressive form of expression that continues to evolve across its manifold forms.

Dance music, like other forms of music, has the ability to affect the soul and evoke profound emotional responses. Dancing can therefore be considered an inward and outward expression of the human spirit. Dancing is generally a joyous activity that is not normally engaged in when one is feeling depressed, angry, ill or anxious.

Possibly, the most important element of dance is music, and it is rare, at least in modern times, for dance of any kind – social, theatrical, performance or religious – to develop without some form of musical or percussive accompaniment.

“I’m dancing to the music of the madness inside me” – George C. Wolfe (Playwright, 1954‑)


The Science of Music and Dance

There are anthropological, sociological psychological, physiological and medical science behind the act of dancing.

Neuroscience explains that dancing changes the physiological structure of the brain in unique ways. It has long been understood that music has a positive effect on mental health. Likewise, dancing also engages overlapping brain networks, including common regions involved in perception, action, movement, and emotion. Dance connects the brain’s cognitive processes to motor functions of the body.

An additional benefit is that the physical activity improves co‑ordination, stamina, balance, fitness, muscle tone and weight control. Both music and dance stimulate the release of serotonin and endorphin hormones, which act on the pleasure and reward centres of the brain. Both hormones act as natural remedies, which are known to reduce anxiety and to work as a natural anti‑depressant.

Psychologists suggest that there are additional health and wellbeing benefits to dance and music. Dancing enhances motivation, mental acuity, improved behaviour, mood and social bonding. Dancing positively affects cerebellar functioning and cognitive processes. Dancing enables people to congregate socially, to belong to a like‑minded community and to share a common purpose, thereby helping to overcome feelings of exclusion, isolation, introversion, shyness and loneliness. Psychologists even extrapolate their findings so far as to suggest that dance is essential to human survival as a species. Maybe that sounds a bit far‑fetched but, who knows, they may be right.

Dance is sometimes used today as a form of therapy. Dance Movement Therapy (DMT) and Dance Movement Psychotherapy (DMP) involve the psychotherapeutic use of music, movement and dance to support intellectual, emotional, and motor functions of the body by examining the correlation between movement and emotion.

Neuroscience suggests that music stimulates a wide range of regions across the brain simultaneously, including faculties such as memory, emotion, movement and reward. Through repetitive overexposure, the brain uses deep encoding to store into, and recall from, memory things like lyrics, melody and movement. Deep encoding in the brain results in what we commonly call ‘familiarity’ and helps us to repeat actions in order to experience previously experienced rewards. The brain tends to remember emotional events more effectively than non‑emotional events. Deeper emotional processing of a stimulus facilitates deeper encoding in the mind leading to stronger, more evocative memories. This effect tends to be strongest between the ages of about 10‑30, resulting in what we call long‑term nostalgia and reminiscence during later stages of life.

Muscle memory, or motor learning, is the ability of our bodies to remember and repeat specific dance movements without conscious thought. Repetition creates a fixed design of the dance steps being learned. The pattern of movement is then stored in the brain so that the dancer doesn’t consciously need to process each move.

It is not just the brain’s auditory cortex processing sound when listening to music, people remember better because emotion‑related areas in the brain are also being activated. Emotions are evoked when listening to music because it stimulates more than one part of the brain. The brain’s motor regions are also stimulated, meaning that people remember movement associated with music and recall wanting to dance along to it.

In addition, the physical exertion of dancing reduces the health risks of a sedentary and indolent lifestyle. Anthropologists and sociologists refer to the process of social synchronisation as ‘collective effervescence’. All good then.

“Dance music is like a virus: it has affected so many different genres” – Avicii (1989‑2018)


The Science of Music, Dance and Sex

Dance also has a strong sexual element. Dance BPMs (Beats Per Minute) of around 120‑130 tend to correspond to the rhythm of human sexual motions. History suggests that the connection has always been present. Before the 1920s, traditional dance sexuality was present but largely implied and unspoken. The ‘flappers’ during the post‑WWI 1920s brought sex and dance out into the open.

Since Rock & Roll erupted in the post‑WWII boom of the mid‑1950s, puritans and moral conservatives have denounced modern popular dance music as ‘the devil’s music’, heralding depravity and debauchery resulting in the breakdown of established austere social structures. For them, the end definitely seemed nigh.

Once the contraceptive pill acted as the catalyst for the sexual revolution and the women’s liberation movement during the 1960s, the links between music, dance and sex became inseparable. The cannabis, speed and acid‑fuelled peace and love hippie counterculture of the late 1960s took promiscuity to its most liberal, orgiastically permissive level. Since the 1970s, sexual dance seems to have become accepted as a way of life and no longer a noteworthy (or newsworthy) issue.

There is a wealth of research to support the argument that music, dance and sex are closely related. Neuroscience suggests that there is an evolutionary link between music and sex. In the same way that Charles Darwin suggested that bird song is a function to attract mates, he also posited that music has evolved with corresponding changes in human sexual courtship and display behaviours. Darwin called the effect of music on sexual behaviour and social bonding as, ‘sexual selection’.

Experimental psychobiology asserts the notion that music serves a reproductive function. Chemicals used in neurotransmission associated with the human brain’s ability to process music are also present in the brain’s instinctive process of sexual attraction and sexual performance. Neurobiology is developing a greater understanding that music and sex may have common effects on the brain including hormonal stimulation such as pleasure and reward systems.

Research has indicated that music and dance has the potential to:

  • Diminish or relax sexual inhibitions
  • Enhance sexual arousal by elevating the mood
  • Indirectly enhance sexual arousal and pleasure by reducing stress
  • Reduce concerns about body image or performance
  • Enhance confidence
  • Enhance the focus on the sexual act
  • Heighten the sense of partner bonding and intimacy
  • Create a synchronicity between the musical and the movement rhythms that aids sexual performance and satisfaction

There you have it, music and dance can act as a powerful aphrodisiac and there is a logical rationale behind what we intuitively know be the case. Time to get it on!

“When the music and dance create with accord…their magic captivates both the heart and the mind” – Jean‑Georges Noverre (Ballet dancer, 1727‑1810)


The Economy of Dance Music

Dance music is important to the global economy. MIDiA Research suggests that the global valuation of the dance music industry rose to $11.3 billion, a 16% net increase over its pre‑COVID pandemic levels.

The IMS Business Report claims that the dance music industry grew 34% in 2022 based on dance music data from the previous year. Live music performance is the industry’s biggest driver, showing that revenues increased 65% over the previous year to $4.1 billion. When looking at events, EDM genre’s share of festival circuit bookings rose 6% year‑on‑year to 39% of total festival bookings. Impressive.

In addition the supply chain up and down stream is also crucially important, the contributory value of which is much harder to determine. Everything from music teaching, musical instrument and gear manufacturing, studio recording and production, logistics and distribution, merchandise, second hand market, etc. etc. It is safe to assume that there is an overall economic multiplier effect.

A recent study by the Journal of International Marketing hypothesised that recreational dance influences productivity and performance in the workplace due to employees’ higher intrinsic motivation and subjective wellbeing, as well as lower absenteeism.

“I play a lot of hard, uncompromising dance music; it can be anything from dance to rock to reggae” – Peter Hook (1956‑)


The History of Dance and Dance Music Eras

There have been a number of dance ‘eras’ over the millennia. So, let’s start with a broad description of dance music over human history and then we’ll dig a bit deeper to see what is really going on today. The history of dance and dance music is massive and highly complex, reflecting and influencing the cultural and social evolution of human civilisation. As with a similar approach taken to the Heavy Metal genre, the 6‑era model used here is the author’s arbitrary construction.

Part I of this article covers the first four eras covered below. Part II, next month, will cover the last two eras.

Era #1 – Ancient Times

  1. Prehistory: Dance and music have been intertwined for as long as Homo Sapiens have been around (approximately 300,000 years), although there is little or no documented evidence to support the assumption. Dance has been an integral part of human development, indicated by cave paintings such as the Bhimbetka rock shelters in India, dating back around 10,000 years.
  2. Ancient Civilizations (3100BCE‑395CE): In antiquity, Egyptian dance was integral to religious rituals, spiritual worship and social celebrations. Ancient Greek societies used dance in theatrical performances and social gatherings, evidenced by images on Greek vases depicting dancers and musicians. In Ancient Rome, dance was used in religious ceremonies, political events and social gatherings.

Era #2 – Middle Ages to the Renaissance

  1. Medieval Period (500‑1500CE): Dance in medieval Europe was often associated with religious and folk traditions. The earliest Western dance music that we know can be reproduced faithfully includes medieval dances like carols and estampie.
  2. Renaissance (15th‑16th Century): The Renaissance period saw the rise of formal European court dances, such as the 16th Century slow processional dance, the pavane and the physical galliard, which were performed widely in England, Portugal, France, Spain, Germany and Italy.

Era #3 – 17th to 19th Centuries

  1. Baroque Period (1590‑1750): Dance became more formalised with the prominent development of Ballet in the French noble courts. The classical music minuet was used for a popular social dance of the same name.
  2. Classical Era (1750‑1829): The ballroom waltz emerged in Austria and Germany, alongside other nationalistic dances like the mazurka and polonaise from Poland.
  3. Romantic Era (1800‑1850): Ballet continued to evolve, with famous works like ‘Giselle’ and ‘Swan Lake’ emerging during this period.

Era #4 – 20th Century (First Half)

  1. 1900s and 1910s: The early part of the Century saw the rise of modern dance, with pioneers like Isadora Duncan and Martha Graham breaking away from classical ballet to explore new forms of artistic expression through dance. Ballroom dancing gained popularity, and dance music became a significant part of social life.
  2. 1920-1940s: Dance music saw a major post‑WWI boom with the rise of Jazz, Swing, Tap and contemporary dance. Big band music became popular in the period before WWII broke out.

Era #5 – 20th Century (Second Half)

  1. 1950s: Following WWII, the cultural explosion that accompanied the Rock & Roll phenomenon became the dominant dance music from the mid‑1950s.
  2. 1960s: The late 1960s saw the emergence of, R&B, Soul and Funk. The use of electronic alongside traditional instruments began to influence music creation and production. Artists began experimenting with analogue synthesizers and complex studio recording techniques.
  3. 1970s: The mid‑late 1970s Disco movement reinforced dance as an integral part of mainstream popular culture. Artists pioneered electronic dance music, influencing a diverse range of genres like Hip‑Hop, Techno and House.
  4. 1980s: With the wide availability of synthesizers, sequencers and rhythm machines EDM sub‑genres such as Synth Pop and Europop began to develop, resulting in diversification and experimentation with dance styles. In discotheques and nightclubs, genres like House, Techno, Trance and Garage began to dominate dance floors.
  5. 1990s: The appeal of Rap and Hip Hop in the 1990s saw the growth of urban street dance, such as breakdancing. EDM coalesced and evolved with groove‑centric genres such as House and Techno becoming a staple in nightclubs and (both legal and illegal) raves.

Era #6 – 21st Century

  1. 2000‑today: EDM rose to become a global phenomenon and dominant force, with numerous subgenres and a significant presence in mainstream music. Dance music continues to evolve reflecting changes in technology, culture, and social trends. The rise of social media and digital streaming has also played a significant part in popularising dance trends.

Dance and dance music remain a powerful form of expression and a vital part of civilisation’s cultural heritage worldwide. The model above isn’t the only way of looking at things. As we will see shortly, some forms of dance and dance music transcend time periods, geographical boundaries and genre categorisation.

“There may be trouble ahead – But while there’s moonlight, and music, and love, and romance – Let’s face the music and dance” – Irving Berlin (1888‑1989)


Dance and Dance Music – Digging Deeper

Now we’ve defined five broad dance music eras, let’s take a look at some of the alternative perspectives. First, we’ll take a quick look at long‑standing dances that have endured anywhere from ancient times right through to today.

“Work like you don’t need the money. Love like you’ve never been hurt. Dance like nobody’s watching” – Leroy Robert ‘Satchel’ Paige (Professional baseball pitcher, 1906‑1982)


Traditional and Folk Dance (pre‑history to today)

There are innumerable cultural dances from every corner of every country of every continent in the world, many dating back to time immemorial. These dances tend to fall into two broad groups, informal folk dances and formal classical dance. The former tends to be more social and the latter comprise symbolic artistic performance dance.

“Dance first. Think later. It’s the natural order” – Samuel Beckett (1906‑1989)

Traditional Folk Dance (courtesy moon chahcha)

Here are just a few (40!) of the more notable regional dances to demonstrate the diversity that has survived to the current day (presented in alphabetical order).

  • Aboriginal dance (Australia) – The ceremonial dance has held a very important place in the culture of the indigenous peoples of Australia for thousands of years
  • Apsara (Cambodia) – Aspara is one of the formal traditional dances of the Royal Ballet of Cambodia with ornately designed costumes and dancers depicting celestial spirits
  • Ballet (Italy) – Classical ballet is a performance dance that has its origins in the Italian Renaissance Courts of the 15th Century, being refined in France, England, and Russia
  • Belly Dance (Egypt) – A Middle Eastern dance, originally called ‘danse du ventre’ (‘dance of the stomach’) originated some 6,000 years ago to celebrate pagan female fertility
  • Bharatanatyam (India) – Indian classical religious dance originating from the Hindu temples of Tamil Nadu
  • Bolero (Spain) – A Spanish theatrical dance popular in the 18th and 19th Centuries, originating from the Castile region around 1750 to 1772
  • Cajun Jig/Jitterbug (USA) – The Cajun one‑step jig was popular in Louisiana in the late 1980s and early 1990s. The two‑step Jitterbug is considered a cowboy‑style swing dance
  • The Can‑Can (France) – Originating in Paris during the 1830s and 1840s as a salacious risqué dance in Parisian dancehalls such as the (in)famous Moulin Rouge. The Can‑Can became a symbol of the French cultural Belle Époque (‘beautiful era’) as well as of women’s liberty and emancipation
  • Capoeira (Brazil) – A dance based on martial arts begun by African slaves arriving in South America in the 16th Century
  • Cossack (Russia) – A.k.a. Hopak, originated in Southern Russia and Ukraine in the 17th Century by East Slavic Orthodox Christian warriors. Their dance is characterised by its high jumps, squatting, and intricate footwork
  • Court Dance (Korea) – A formal court dance in a tradition that dates back centuries for the entertainment of the royal family, court officials and foreign envoys
  • Dragon Dance (China) – Dancing with symbolic dragons dates to the Han Dynasty of 180‑230CE. The dance is supposed to banish evil spirits and expel bad luck. It is particularly important during Chinese New Year celebrations
  • Ewegh (North Africa) – Traditional dance of nomadic Tuareg culture deriving from North Africa. Men stand in a line, making facial expressions while wailing
  • Flamenco (Spain) – Flamenco dance and music originated in Andalusia with influences including Arabic, Roma, Christian and Jewish elements
  • Haka (New Zealand) – A traditional Maori war dance intended to intimidate opponents. It has become a symbol of the Kiwi All Black rugby team
  • Hula (Hawaii) – A Hawaiian dance accompanied by chanting or singing. It evolved in the Hawaiian Islands around 400CE by Native Hawaiian settlers. Through tourism, film and theatre, the Hula changed significantly in the 20th Century with its familiar grass skirts
  • Indlamu (Southern Africa) – A tribal dance most often associated with Zulu culture of southern Africa and the war dances of its fearsome warriors
  • Innuit Drum Dance (Greenland) – Drum dancing and singing are forms of traditional indigenous Inuit artistic expression and music from Greenland
  • Irish Step (Ireland) – A step folk dance with intricate footwork rooted in ancient Celtic tradition which remains popular in Irish communities today
  • Jarabe Tapatio (Mexico) – A traditional Mexican dance with women dressed in china poblana dresses and men wearing charro suits
  • Kabuki (Japan) – The classical stylised Japanese dance‑theatre dates back over 400 years. Kabuki blends music, dance, and mime, as well as making use of elaborate costume and makeup
  • Kathak (India) – An ancient classical dance originating in northern India traditionally associated with the tales of roaming bards known as Kathakers (storytellers)
  • Line Dancing (USA) – A modern American dance popular in the 1990s in which a group of people dance to a repeating sequence of steps while arranged in one or more lines or rows. It is a social dance in country & western dance bars, social clubs, dance clubs and ballrooms
  • Maasai Dance (Kenya) – The traditional Maasai ‘jumping dance’ involves male villagers leaping into the air as a show of strength and stamina
  • Maypole (Sweden) – Originating in Germanic pagan fertility rituals, maypole dancing dates back many centuries to celebrate the arrival of summer in England, Germany and Sweden.
  • Morris Dance (England) – The skipping, stick wielding, handkerchief waving ‘Moryssh daunsers’ began in the cobblestoned streets of London during the mid‑15th Century, eventually migrating to rural communities
  • Native American Indian dance (USA) – A diverse range of tribal ceremonial dances dating back centuries before North American colonisation. Dances include the deer dance, pipe dance, rain dance, dog dance and scalp dance
  • Polka (Bohemia, now Czech Republic) – Polka is a popular dance in 2/4 time, particularly common throughout Europe and the Americas
  • Salsa (Cuba) – Cuba’s distinctive casino dance blends African drums with Spanish guitar, brass and percussion. It was exported from Cuba in the early 20th Century and became popular in New York City in the 1940s and 1950s, growing into a global phenomenon
  • Samba (Brazil) – Samba originated in the Afro/Brazilian communities of Baha and Rio de Janeiro in the late 19th and early 20th Centuries. It plays an important part of Rio’s annual Carnaval
  • Stick Dance (Portugal) – The ‘dança dos paulitos’ is an age‑old dance where dancers brandish sticks to emphasise the rhythm. It is performed by pauliteiros that takes place in Miranda do Douro, in Portugal’s north east Trás‑os‑Montes region
  • Schuhplattler (Germany) – A Bavarian courtship dance dating back to the mid‑19th Century and is popular at Munich’s annual Oktoberfest, typified by the wearing of iconic lederhosen
  • Square Dance (USA) – A broad group of dances for couples, arranged in a square, with a couple on each side facing the middle. The form includes, barn dances, English folk dances and Irish ceilidh dances
  • Tango (Argentina) – A highly complex and passionate dance, originated in the 18th Century barrios of Buenos Aires in Argentina
  • Tanoura (Egypt) – On the surface, the spinning tanoura has some similarities to Turkey’s Whirling Dervish. Egypt’s tanoura dancers, though, wear multi‑coloured skirts
  • Tinikling (Philippines) – The ‘Bamboo Dance’ emulates the movements of a bird as it walks through grass stems or over broken tree branches
  • Waist Drum Dance (China) – An ancient ritual originating from North West China over 1,000 years ago with performers beating waist drums as they run and leap in formation
  • Waltz (Austria) – From the 17th Century, the polite society waltz was popular in the Habsburg Court and now the annual Vienna Opera Ball
  • Whirling Dervish (Turkey) – The spinning move by male dancers wearing voluminous skirts dates back over seven centuries to the Sufism and the Mevlevi Orders
  • Yaake (Niger) – Traditional African dance by young Wodaabe males during the Gerewol festival emphasising flamboyant dance moves to attract available females
Ballet (courtesy Pixabay)

“Never give a sword to a man who can’t dance” – Confucius (c.551‑479BCE)

These really are just the tiny tip of a very, very large iceberg. There are thousands of national, regional and local dances and this is just a taster, hopefully to inspire further exploration. Apologies to any historic communities who might feel that their traditions are unintentionally under‑represented.

In 2003, UNESCO (the United Nations Educational, Scientific and Cultural Organization) included dances (along with music and theatre) as performing arts under the International convention of ‘intangible cultural heritage’. There are many traditional dance forms listed by UNESCO, including ballet, belly dancing, flamenco and rumba.

“Music and dance are all you need” – Moliere (Playwright, 1622‑1673)


Conventional Dance – Roots of contemporary dance in blues, jazz and country music (1910s‑1950s)

In previous music history and genre articles, the author has suggested that the majority of modern, contemporary musical styles from the mid‑1950s onward stem from the three pillars of Blues, Jazz and Country music. For continuity, consistency and simplicity, I’m sticking to that basic structural set of influences here.

“Part of the joy of dancing is conversation. Trouble is, some men can’t talk and dance at the same time” – Ginger Rogers (1911‑1995)

While there are inevitable overlaps and cross‑fertilisation as trends grew and faded, particularly during the inter‑war period, there are a few notable dance genres. Dance styles associated with the development and fusion of Blues, Jazz and Country include:

  • Ragtime – Syncopated African/American ragtime music played on piano or banjo originated in St. Louis, Missouri and influenced social dances in the late 19th and early 20th Centuries, as well as influencing the development of jazz. Dance styles used to ragtime included, the turkey trot, the bunny hug and the shimmy.
  • Jitterbug – Jitterbug is a generalised umbrella for swing dances, covering a range of styles including the lindy hop, jive, west and east coast swing, collegiate shag and balboa.
  • Charleston – A social jazz dance of the 1920s, named after the harbour city of Charleston in South Carolina. The Broadway show, ‘Runnin’ Wild’ (1923) used a tune called ‘The Charleston’. It was popularised by young women nicknamed ‘flappers’ and young men of the so‑called post‑WWI ‘Roaring Twenties’.
  • Tap – Tap dancing is an American performance dance from the 1930s combining African and Irish influences that uses the percussive sounds of tap shoes with metal plates (‘taps’) on the toes and heels striking the floor, often accompanied by popular band music. It started as a street dance and became popular as a performance art form on Broadway and in Hollywood film.
  • Swing – Swing represents a group of social dances that developed alongside swing Jazz music from Harlem in the 1920s to the 1940s, after which WWII reduced its popularity. Two discrete forms were the west coast swing and east coast swing. After WWII, bebop and jump blues styles became commonplace.
  • Jive – Jive is a social swing dance style with its roots in African/American communities in the early 1930s. Its name comes from the vernacular slang of the time. Jive included elements from including Salsa and Tango and continued in popularity during the Rock & Roll years.
  • Lindy Hop – Lindy Hop is an American dance originating from the African/American communities of Harlem, New York City in 1928 and has evolved over time, proving to be popular during the big band swing era of the late 1930s and early 1940s. Lindy Hop was the first partner dance ever to feature acrobatic elements and laid the ground for Rock & Roll dance.

“Since the beginning of time mankind has used music and dance to commune with the Spirit of Nature and the Spirit of the Universe…” – Goa Gil (Musician, 1951‑2023)


Ballroom Dance

A number of dance styles have become semi‑formalised under the banner of ballroom dance by the World Dance Council. Many of the ballroom dances are based on either older traditional (pre‑20th Century) dances or contemporary (20th Century) dances. There is therefore some overlap between formal ballroom styles and the original forms of dance that inspired them. Ballroom dances are generally split into two broad types; Standard/Smooth and Latin/Rhythm, including:

Standard Ballroom

  • Waltz/Viennese Waltz – The former is known as the English or slow waltz, while the latter is the up tempo European waltz. Recognisable by its ¾ time signature.
  • Tango – Derived from the Argentinian original (see above) incorporating American and European influences adapted for the ballroom.
  • Foxtrot – An English ballroom dance with roots in American Jazz and Ragtime band music. Now one of the internationally recognised ballroom dances popular at competitive dance events.
  • Quickstep – Another international standard ballroom dance that combines up tempo elements of the Foxtrot and the Charleston. Known as the ‘dance of joy’.

Latin Ballroom

  • Pasodoble – An 18th Century fast‑paced, dramatic and theatrical double‑step in 2/4 time, turned into a Latin ballroom social dance inspired by Spanish bullfights.
  • Rumba – Rumba is a standard ballroom dance that has its roots in the American east coast during the 1930s, combining American band music with Afro‑Cuban rhythms.
  • Samba – The ballroom version of the Samba in 2/4 time varies significantly from the original Brazilian regional folk dance (see above).
  • Cha‑Cha – The Cha‑Cha Latin American ballroom dance of Cuban origins, dating from the 1950s and deriving from the 1940’s Cuban mambo.
  • Bolero – Bolero is a Spanish/Cuban dance in ¾ time popular in the late 18th and early 19th Centuries (see above), with the ballroom form differing from the original Cuban variety.
  • East Coast Swing (ECS) – ECS is a social partner dance and has several variations based on fast American swing music, such as big band, Rock & Roll, Rockabilly and Boogie‑Woogie.
  • Jive – Jive is a ballroom dance style with its roots in the social swing dance of the early 1930s (see above). In competitive dance, Jive is more closely associated with swing, rather than other Latin dances.
Ballroom Dance (courtesy Prime Cinematics)

“The dance is a poem of which each movement is a word” – Mata Hari (Dancer, courtesan and spy, 1876‑1917)


Intermission

Right. That’s the end of the first Part of this 2‑part dance music genre article. The advantage of Part I is that it is relatively short (for me) and, I hope, reasonably digestible.

At this point, from around the mid‑1950s onward, dance styles tended to migrate from identifiable dance styles accompanied by music to identifiable music genres and sub‑genres (with a few notable exceptions) with dances to match.

As mentioned at the start, my original plan was for a single‑part article. On reflection, I took the difficult decision to split it into two for easier reading. This point seems a logical place to stop for now and we will reconvene shortly in Part II.

Next month, we’ll resume with the modern evolution of dance and dance music from the mid‑1950s. As the article was originally written as a single piece of work, there hopefully won’t be a long wait for Part II. There is more to come folks, much more.

“The truest expression of a people is in its dances and its music. Bodies never lie” – Agnes de Mille (Dancer and choreographer, 1938‑1993)


CRAVE Guitars’ ‘Album of the Month’

The honour this month goes to a favourite funk/disco dance music studio album. Why this particular choice? Well, it was released during a particularly emotionally traumatic period of my life and one that I never wish to repeat. I don’t do regrets but if I did, there are some things I’d like to do over again and be a better person second time around. I won’t divulge details other than to mention that, when one is feeling desperately down, there is nothing like a bit of bouncy dance music to boost serotonin levels as an antidote for, and natural relief from, the all‑consuming darkness of depression. Even the album’s title is appropriate.

The Brothers Johnson – Light up the Night (1980). This 9‑track release was the 4th studio album by the American brothers – George and Louis Johnson – produced by the great Quincy Jones, and released in April 1980 by A&M Records. While pretty much a strong dance oriented album throughout, it is the opening track and hit single, ‘Stomp’ that really provides necessary dose of natural anti‑depressant. Particularly impressive is the great bass playing of the late Louis Johnson and his Music Man Stingray Bass. ‘Stomp’ represents 384 seconds of joyous, funky groovy goodness. The album’s release came just at the end of the height of the organically analogue Funk/Disco boom and all the better for it. Evocation can be a powerful thang.

The Brothers Johnson – Light Up The Night (1980)

No other studio album by the brothers quite matched ‘Light up the Night’ in my opinion. Perhaps it was timing and genre that were just what I needed at a vulnerable point in my growing up. However, there was an awful lot of great party music using traditional instruments from the likes of Earth, Wind & Fire, Kool & the Gang, Parliament/Funkadelic, Chic and The Gap Band around the same time, before the whole Synthpop scene took off over the next decade or two. Today, dance music is synonymous with EDM and we seem to have lost some of the organic nature of music from the peak of funk and disco.

“Every day brings a chance for you to draw in a breath, kick off your shoes, and dance” – Oprah Winfrey (1954‑)


Tailpiece

Phew! I’m out of breath, not from all the dancing, just the exertion of completing only half of another lengthy genre article. The trouble I’ve found with research and writing is that it is not only addictive but also essentially a sedentary activity, with not much of in the way of exercise other than to get up and make the occasional cup of tea/coffee.

Still, I hope you found something to revel in and, perhaps, to explore some of the musical delights covered herein. As always, when I do these research projects, I’ve learned something from the task and reignited an interest in all things dance music. Please come back next month and lap up some more dancey stuff in Part II of this terrifically tuneful tome (ending as I started with terrible alliteration). As a bonus, you won’t have to wait a whole 4‑and‑a‑bit weeks, for reasons to become clear in time, I am planning for Part II to be published early in September. Watch this space.

Truth, peace, love, and guitar music be with you always. Until next time…

CRAVE Guitars’ ‘Quote of the Month’: “In the absence of truth, just what are we supposed to believe?”

© 2024 CRAVE Guitars – Love Vintage Guitars.

 

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May 2024 – Artificial Intelligence takes on Vintage Guitars: Part III

Prelude

GARRULOUS GREETINGS AND A HEARTY “hello” once again to the global guitar gathering as seen through the laidback lenticular lens of CRAVE (Cool & Rare American Vintage Electric) Guitars. Whether you are a first‑time visitor or a long‑time returnee, all with peaceful intentions are welcome here.

This month, we are concluding the 3‑part exploration on the current status of civilian‑grade Artificial Intelligence (AI) and its perspective on vintage guitars within the context of the wider music industry. This time around, we’ll take the investigation of Generative AI’s (GAI) impact beyond the narrow domain of vintage guitars and look at the bigger picture. In addition to vintage guitars, we will take a look at music, the music business, music tools and equipment, live performance, production, promotion, distribution and access. As a final parting shot on the subject, I’ll take a personal philosophical look at AI’s future intentions for us poor old human beans.

At the time of writing, it seems that we don’t need AI to forecast the ‘end of days’ for the human race. We have plenty enough diabolical demagogues teetering on the brink of bringing about just that suicidal eventuality right now. We don’t need AI to tell us that, as a species, we have learned absolutely nothing from the ravages of our past and, perhaps, we deserve what we get as a result. All I will say is, “Klaatu Barada Nickto” (From the film, ‘The Day The Earth Stood Still’, 1951).

“The development of full artificial intelligence could spell the end of the human race. Once humans develop artificial intelligence, it will take off on its own, and redesign itself at an ever‑increasing rate” – Stephen Hawking (theoretical physicist and cosmologist, 1942‑2018)


AI revisited (again)

The previous two articles focused on narrative (Part I) and visual (Part II) aspects of the vintage guitar experience. Once again, there is really no need for introductory explanations. If you wish to review the preceding articles leading up to this one, or are coming at it for the first time, you can revisit those blogs by following the links below (open in a new browser window):

March 2024 – Artificial Intelligence takes on Vintage Guitars: Part I

April 2024 – Artificial Intelligence takes on Vintage Guitars: Part II

CRAVE Guitars – Artificial Intelligence Part III

Scope

The scope of this third article in the series is quite broad, wider than in the first two articles. At its core, though, remains the topic of vintage guitars, amps and effects and the small but vital part they play in music today. While it has less of a focus on vintage instruments and equipment, it is all part of the same ‘micro/macro’ world, a connection that AI overlooked back in Part I.

Up to now, the articles concentrated largely on the past and present. This third article is very much future focused, so we’ll see what AI has to say about what is to come on and what may be over the digital horizon. Perhaps, someone will look back at this article at some point in years to come and gauge how far AI has come and how accurate AI has been at predicting the future.

Humans tend to shy away from radical change and are innately conservative. How we deal with the challenges that AI poses will be pivotal. AI will either enhance or inhibit human development? It is currently up to us to decide which. The debate rages on and will do for some time to come. These heated conversations aren’t just centring on music, they are pretty much across every economic sphere of production.

“I had two passions growing up – one was music, one was technology. I tried to play in a band for a while, but I was never talented enough to make it. And I started companies. One day came along and I decided to combine the two – and there was Spotify” – Daniel Ek (founder and CEO of Spotify, 1983‑)


The rationale

Make no mistake, AI has already made its mark in music. Whether it is in the way of song writing and music creation through recording and producing to distribution and enhancing the consumer’s experience. AI is here already and it isn’t going to go away. Going forward, there is no longer any doubt that AI’s role in music will be increasingly expansive, whether we like it or not

The arguments posed by many artists is that AI is incapable of capturing and mastering the artistic expression of music. Music has a rich history and deep emotional ties and these are not easily replicated by machines. Before we go too far, let us be clear that the same applies to many human musicians! Inspiration is rare and not easy to reproduce or we’d all be using it to get rich in the process. It isn’t clear whether the egotistical view that the human spirit is inimitable is born from a reluctance to embrace technology’s potential. The instinctive defensive reaction is to attempt to protect human creativity at all costs. Similarly, it is not certain whether it is possible for a machine to create intelligent artistic outcomes.

Can music generated by IT algorithms be considered authentic musical art? Art is an inward and outward expression of human emotion, experience, and creativity. These are characteristics that sceptics say a machine simply cannot possess. The current state‑of‑the‑art AI has a hard time translating technical data into sensitive music, struggling to infuse its outputs with sincerity, passion and feeling. Yet. I am sure that soon, we won’t be able to assert these facts with any genuine certainty.

From the composition of musical melody and harmony to generating complex musical arrangements, AI already has the ability to create ‘original’ pieces that can (allegedly) rival the work of human composers. As the technology is derivative, AI has yet to develop the ability to exceed human talents. It would be an act of hubris to suggest that AI cannot follow the same scientific principles, musical rules and tropes that humans have abided by for centuries or even millennia. AI can achieve considerable complexity in a fraction of the time that a human can exact the same tasks. It is still the ‘intelligent’ aspect that vexes most commentators.

AI doesn’t care one iota about music and it doesn’t even know what music is. To AI, music is simply another digital computational process, albeit one that seems amazingly expert to us. However, AI doesn’t have any conscious investment in music and it can’t tell rock ‘n’ roll from a rock in the ground. Professional musicians have spent entire careers trying to perfect their skills and they are understandably concerned about AI’s impact on their livelihoods. While I understand that point of view, having reservations isn’t going to stop the tsunami coming their way. In the Darwinian sense, it will be, ‘adapt or die’ (metaphorically speaking of course).

“The idea that machines can’t do things humans can is a pure myth” – Marvin Minsky (American cognitive and computer scientist, 1927‑2016)

There are already AI‑powered virtual instruments in the form of plugins integrated into DAWs (Digital Audio Workstations). Studios are already using AI tools to improve mixing, producing and mastering techniques. AI has the potential to be a powerful collaborative tool, as long as we are prepared to accept the consequences of such a ‘partnership’. AI is simply becoming another tool in the artist’s repertoire and surely it is just a logical extension of the use of digital electronics that studio and stage engineers have been using for the past 40 years. For instance, we would no longer think of salvaging a 20,000 gallon water tank to create a single analogue reverb chamber effect, when we have digital electronics that can provide thousands of credible permutations with the click of a mouse. Let’s get real here.

AI automation can and will result in job displacement, let’s not shy away from the fact; it is inevitable. Technical roles in the music industry such as producers, sound engineers, mixers and mastering specialists may be under threat. Similarly, even some session musicians may be adversely affected. However, the contrary argument is that AI opens doors to a diverse range of new opportunities and it will create new skills and expertise that have hitherto been either underappreciated or non‑existent. Threats to livelihoods have always existed and it will be imperative to drive change in the industry, rather than become a victim of it.

“The arrival of general AI will force us to confront a new sense of ourselves, as well as a universe that is both more strange and more wonderful than we could have imagined” – Ray Kurzweil (American computer scientist, 1948‑)

There are also legal issues. If an AI created song becomes commercially successful, who owns the rights? Is it the end‑user of the technology, the system developer, the creator of the data sets used to inform AI, or the machine itself? Currently, the law sides with the end‑user. A guitar manufacturer cannot claim Intellectual Property (IP) rights simply because a musician used their instrument. Neither can the owner of an arboretum where the tree grows to source the wood used in said instrument. You get the idea.

AI has already replaced humans, at least in the areas of commercial recorded background music and around the periphery, even if you aren’t aware of it. AI ‘artists’ have already been created and AI has been used to resurrect dead artists (e.g. John Lennon). AI is used on virtual reality concerts streamed over the Internet or to live audiences (e.g. Abba, Elvis Presley, Nat King Cole, Frank Sinatra, etc.). However, humans will still be needed for the time being to innovate and break conventional boundaries in mainstream and underground music. As yet, though, nothing can really substitute for the genuine human experience. Live music is largely safe… for now.

Instead of viewing AI as a threat, many artists will see it as a vital device that can help to give them a strategic advantage in an increasingly competitive industry and in highly saturated markets. AI’s current course in music suggests an even more integrated future. Berklee College of Music in Boston, MA, USA suggests that up to 60% of artists already make use of AI techniques to help unlock their potential. This human/AI collaboration can redefine artistic boundaries, enable experimentation and give rise to genres and ground‑breaking sounds previously unimaginable, if we allow it. AI can help to broaden musicians’ creative horizons beyond the familiar. The potential synergy between human musicians and AI presents exciting opportunities and challenges for the future of music. Wasn’t it ever thus?

“It’s not artificial intelligence I’m worried about, it’s human stupidity” – Neil Jacobstein (Chair of the Artificial Intelligence and Robotics Track at Singularity University)

So… there you have both sides of a musical and ethical difference of opinion. Now it is time to turn that debate over to GAI…


The CRAVE Guitars’ test

For the final time, I will present AI with some challenges and see how AI responds. As before, I will let the AI do the hard work and leave my critique until the end of the article.

Apologies for repeating the following list yet again. I suggested eight benchmarks for evaluating AI’s responses, summarised below:

  1. To understand a question correctly without over‑specificity
  2. To interpret and extrapolate relevant information objectively within a wider context
  3. To present a cogent argument that can adequately be judged and/or challenged
  4. To form a genuine opinion from scratch without relevant information being readily available in the first place, in the same way that a person might do in the case of uncertainty
  5. To debate the initial result to achieve a potentially better outcome
  6. To produce a creative response that improves on the original information input by humans
  7. To remember what it has already output
  8. To understand fully what humans want or expect from ‘intelligence’

Once more, twenty questions were posed to AI about vintage guitars and various aspects of the music industry. What follows are the verbatim results. Nothing has been added or removed. What you see is what I got. Apologies for the repetition up to this point.

Time for me to take a backseat until later in the article. I’m off to put the kettle on, put my feet up and consume multiple warm beverages. Health warning: AI can lead to a sedentary and indolent lifestyle! Bye for now…


Twenty Questions and Twenty AI Responses

Question #1 – What is AI’s role in current new guitar and bass design and manufacturing?

AI Response #1

AI is playing an increasingly significant role in the design and manufacturing of guitars. Here are some ways AI is being utilised:

  • Personalised Designs: AI can analyse player preferences, such as playing style and hand size, to create custom guitars tailored to individual needs.
  • Generative Design: AI can generate organic, biomimetic shapes, leading to innovative designs that were previously impossible.
  • Sustainability: AI helps manufacturers reduce waste and energy consumption, resulting in more environmentally friendly guitar production.
  • Simulation Software: Designers can simulate the guitar’s performance and sound quality, allowing for real‑time adjustments and early identification of design flaws.
  • Additive Manufacturing (3D Printing): This technology enables the creation of physical prototypes, helping designers evaluate and refine the guitar’s design before production.

Overall, AI tools are transforming guitar design by enabling more efficient, sustainable, and personalised manufacturing processes.

Question #2 – How is AI contributing towards wider musical equipment technology?

AI Response #2

Artificial Intelligence (AI) has significantly impacted the field of music technology, revolutionizing various aspects of music creation, production, and performance. Let’s delve into how AI is shaping the world of musical equipment:

  • Smart Algorithms in Mixing and Audio Editing:
    • Many audio plugins now incorporate smart algorithms that draw on human experience. These algorithms apply frequency correction or normalisation presets to enhance audio quality during mixing and editing.
    • These AI‑driven tools assist musicians and producers in achieving professional sound without extensive manual adjustments.
  • Composition and Music Generation:
    • AI has made a major impact in the realm of composition. Services like Aiva utilize deep learning algorithms to create beautiful music across various genres.
    • Aiva’s virtual brain is modelled after how a human brain works. It recalls past experiences and problem‑solving to refine its results. By analysing vast amounts of data (such as classical music archives), Aiva recognizes patterns in chord structures, melodies, and arrangement choices.
    • The resulting AI‑generated tracks are increasingly indistinguishable from compositions by human musicians.
  • AI‑Driven Music Production Tools:
    • Over the past decade, AI has transformed music mixing and mastering. Apps like Landr, Cryo Mix, and iZotope’s Neutron automatically analyse tracks, balance audio levels, and remove noise.
    • These tools enhance efficiency and consistency in the production process, allowing artists to focus on creativity.
  • New Sounds and Beats:
    • AI’s ability to analyse sound characteristics using deep neural networks has led to the creation of new sounds. By drawing from existing music and theory, AI generates fresh beats and melodies.
    • Musicians can explore novel sonic possibilities, pushing the boundaries of traditional instruments and arrangements.
  • Music Education and Research:
    • AI, combined with audio big data, contributes to Music Information Retrieval (MIR). MIR extracts audio features based on signal processing and employs machine learning techniques.
    • Researchers use AI to analyse music theory, composition, and performance, advancing our understanding of music.

In summary, AI’s influence on musical equipment technology extends beyond mere automation. It empowers musicians, enhances creativity, and opens up exciting avenues for the future of music.

Question #3 – How can AI contribute towards the conservation of vintage guitars and basses?

AI Response #3

AI can contribute significantly to the conservation of vintage guitars in several ways:

  • Digital Restoration: AI can restore old photographs and videos of iconic luthiers and vintage guitars, enhancing the quality and clarity of historical records.
  • Predictive Maintenance: By analysing data from sensors placed on vintage guitars, AI can predict when and what kind of maintenance is needed to preserve their condition.
  • Material Analysis: AI can assist in analysing the materials and construction techniques of vintage guitars, providing insights for conservation efforts.
  • Sound Analysis: Machine learning algorithms can analyse the sound of vintage guitars to understand how they have changed over time and how to maintain their original sound.
  • 3D Scanning and Modelling: AI can help create detailed 3D models of vintage guitars, which can be used for educational purposes or to replicate parts that are no longer available.

These applications of AI not only help in preserving the physical aspects of vintage guitars but also ensure that their legacy and the craftsmanship behind them are documented and passed down to future generations.

Question #4 ‑ How can AI contribute towards the conservation of vintage guitar amplifiers and effect pedals?

AI Response #4

AI can be a powerful ally in the conservation of vintage guitar amplifiers and effect pedals, offering several innovative approaches:

  • Emulation and Modelling: AI can be used to create digital models of vintage amplifiers and pedals, allowing musicians to access classic sounds without using the original, fragile equipment.
  • Predictive Analysis: AI algorithms can analyse the condition of electronic components over time, predicting failures and suggesting preventive maintenance to prolong the life of the equipment.
  • Restoration Guidance: AI can guide technicians through the restoration process, suggesting optimal methods and materials that preserve the original sound and functionality.
  • Sound Preservation: By analysing the unique sounds of vintage gear, AI can help in creating a digital library of tones and effects, ensuring that the sonic legacy of these devices is not lost.
  • Component Analysis: AI can assist in identifying and sourcing authentic components for repair and restoration, ensuring that the vintage gear remains as close to its original state as possible.

These contributions of AI not only help in maintaining the physical integrity of vintage amplifiers and pedals but also ensure that their distinctive sounds continue to inspire musicians for generations to come.

Question #5 – How can AI contribute towards future guitar innovation, design and manufacturing developments that will one day become vintage?

AI Response #5

AI’s contribution to future guitar innovation, design, and manufacturing is expected to be transformative, with several key areas of impact:

  • Customisation: AI can analyse vast amounts of data on player preferences and ergonomics to create highly personalised guitars that cater to the specific needs of individual musicians.
  • Sound Modelling: Advanced machine learning algorithms can emulate the sounds of vintage guitars, allowing new guitars to have the sought‑after tones of classic models.
  • Quality Control: AI can enhance quality control in manufacturing, ensuring that each guitar meets high standards of craftsmanship and consistency.
  • Material Innovation: AI can assist in discovering new materials and construction methods that replicate the qualities of vintage guitars while being more sustainable and durable.
  • Predictive Analytics: By predicting trends and consumer preferences, AI can guide the design of guitars that are likely to become future classics.

These contributions are poised to revolutionise the guitar industry, making it more innovative, efficient, and responsive to the needs of musicians around the world.

Question #6 – Where do vintage guitars fit into the wider current day music industry?

AI Response #6

Vintage guitars hold a special place in the modern music industry, serving as a bridge between the rich musical heritage of the past and the innovative sounds of the present. Here’s how they fit into today’s musical landscape:

  1. Timeless Sound and Design: Vintage guitars are renowned for their distinctive designs and the unique sound quality they produce. Musicians often seek out these instruments for their ability to create authentic tones that newer models can’t replicate. They are not just tools for making music but are also seen as works of art and symbols of musical eras gone by.
  2. Influence on Modern Music: The influence of vintage guitars extends across genres, from rock and blues to jazz and even contemporary pop. Their sound has shaped the music we listen to today, and many modern musicians still prefer vintage guitars for their unparalleled tonal qualities.
  3. Collectible Value: Beyond their musical capabilities, vintage guitars are also valuable collectibles. They represent a time and place in musical history, embodying the legacy of innovation and craftsmanship. For collectors and enthusiasts, owning a vintage guitar is akin to possessing a piece of music history.
  4. Inspiration for New Models: Modern guitar manufacturers often look to vintage guitars for inspiration when designing new models. The classic aesthetics and sound of vintage guitars continue to influence the development of new instruments, ensuring that the spirit of the vintage era lives on in the music industry.
  5. Cultural Significance: Vintage guitars carry cultural significance, representing the evolution of music and the impact of iconic musicians who played them. They are a testament to the enduring appeal of the guitar as an instrument and its role in shaping the cultural landscape.

In essence, vintage guitars are more than just musical instruments; they are cultural icons that continue to inspire musicians and captivate audiences, maintaining their relevance in a rapidly evolving music industry.

Question #7 – What does the future hold for vintage guitars, basses, amplifiers and effect pedals?

AI Response #7

The future of vintage guitars, basses, amplifiers, and effect pedals looks quite promising, with several trends indicating a continued appreciation and demand for these classic instruments and gear. Here’s what we can expect:

  1. Vintage Guitars: The allure of vintage guitars is expected to persist, with a focus on craftsmanship, exclusivity, and historical significance. Collectors and musicians alike will likely continue to seek out these instruments for their unique sound, aesthetic appeal, and investment potential. The market for vintage guitars is anticipated to see growth, especially in regions like North America and Asia Pacific.
  2. Bass Guitars: High‑end bass guitars are gaining attention, with premium models from brands like Rickenbacker, Fender, and Fodera being highlighted for their quality. The bass guitar scene is evolving, with discussions around its future in the music industry and the potential for new genres to reinvigorate interest in the instrument.
  3. Guitar Amplifiers: The guitar amp market is embracing both vintage features and futuristic technology. There’s a trend towards recreating classic amps as well as developing new models packed with advanced tech. The future may see a blend of the best of the past with innovative features that cater to modern players’ needs.
  4. Effect Pedals: Guitar effects pedals are becoming more varied and sophisticated, with new models based on classic gear and all‑new combinations. The industry is witnessing a surge in creativity and innovation, with digital modelling and emulation playing significant roles in the development of new pedals.

In summary, the future for vintage musical gear is one of reverence for the past combined with an embrace of new technologies and trends. This balance ensures that vintage instruments and gear will remain integral to the music industry, cherished for their legacy and continued influence on modern music.

Question #8 ‑ How can AI help to improve the knowledge of people interested in vintage guitars and basses?

AI Response #8

Artificial Intelligence (AI) can significantly enhance the knowledge of enthusiasts and collectors of vintage guitars and basses in several ways:

  1. Personalized Recommendations: AI can analyse individual preferences and historical data to suggest vintage guitars and basses that align with a user’s taste or playing style.
  2. Virtual Restoration: AI can simulate the restoration process of vintage instruments, allowing users to see potential outcomes without physically altering the instrument.
  3. Market Analysis: AI can track market trends, auction results, and pricing data to help collectors understand the value of their instruments and make informed buying or selling decisions.
  4. Authenticity Verification: By comparing images and specifications, AI can assist in verifying the authenticity of vintage guitars and basses, helping to prevent fraud.
  5. Educational Content: AI can generate educational content, such as articles or videos that delve into the history, craftsmanship, and cultural significance of vintage instruments.
  6. Interactive Learning: Through interactive apps and software, AI can provide virtual lessons and historical context about specific models and brands.
  7. Sound Analysis: AI can analyse the sound characteristics of vintage guitars and basses, helping users understand the unique tonal qualities of their instruments.
  8. Design Innovation: AI can assist designers in creating new instruments inspired by vintage models, using machine learning to incorporate desirable features and aesthetics.

By leveraging these AI capabilities, people interested in vintage guitars and basses can deepen their understanding and appreciation of these instruments, make better‑informed decisions, and connect with a community of like‑minded individuals.

Question #9 – Why do many professional guitarists still play vintage, rather than modern instruments when recording or preforming live?

AI Response #9

Many professional guitarists opt for vintage instruments over modern ones when recording or performing live due to a combination of factors that contribute to the unique appeal of these classic instruments:

  1. Tonal Quality: Vintage guitars are often sought after for their superior tonal quality. Over time, the wood in these instruments matures, affecting the resonance and producing a richer, more nuanced sound that many believe cannot be replicated by newer guitars.
  2. Craftsmanship: The level of craftsmanship in vintage guitars is frequently cited as being higher than that of many mass‑produced modern instruments. They were often made with more labour‑intensive techniques and higher‑quality materials, which can contribute to both the sound and durability of the instrument.
  3. Historical Significance: Playing a vintage instrument connects musicians to the history of their craft. These guitars have been part of iconic performances and recordings, and they carry a legacy that many artists find inspiring.
  4. Exclusivity: Vintage instruments are unique, with each one having its own story and character. This exclusivity can be appealing to professionals who want an instrument that stands out both visually and sonically.
  5. Investment Value: Beyond their musical qualities, vintage guitars can be a good investment. Their value tends to appreciate over time, making them not just tools for performance but also valuable assets.
  6. Personal Preference: Ultimately, the choice often comes down to personal preference. Many guitarists simply prefer the feel and sound of a vintage guitar, finding that it suits their style and the music they create.

These factors combine to make vintage instruments a popular choice for many professional guitarists, both in the studio and on stage.

Question #10 – How can AI help music companies to improve their business practices and become more profitable?

AI Response #10

Artificial Intelligence (AI) can significantly enhance the business practices of music companies and contribute to increased profitability in several ways:

  1. Revolutionizing Production: AI can streamline the music production process, making it more accessible and efficient. For instance, AI‑driven technology can assist aspiring artists in creating professional‑sounding music with minimal equipment, thereby reducing production costs.
  2. Optimizing Music Management: AI can help music companies manage their catalogues more effectively by auto‑tagging songs with accurate metadata, which is crucial for organising and categorising music across platforms.
  3. Improving Royalty Management: AI can facilitate better royalty management by accurately tracking song plays and ensuring that artists and rights holders are compensated fairly.
  4. Curating Playlists with Precision: With AI, music companies can curate playlists that resonate with listeners’ preferences, leading to increased engagement and potential revenue from streaming services.
  5. Efficient Tour Planning: AI can analyse data to help plan tours more efficiently, identifying the best locations and times for concerts to maximize attendance and profits.
  6. Content Creation Assistance: AI can assist in content creation, providing tools for musicians to generate new music or enhance existing tracks, potentially leading to more creative outputs and a broader appeal.
  7. Data‑Driven A&R Decisions: AI can provide valuable insights into fan engagement and market trends, helping A&R (Artists and Repertoire) departments make informed decisions about signing artists or promoting music.

By integrating AI into their operations, music companies can leverage these advancements to reduce costs, optimize processes, and create more engaging content, ultimately leading to increased profitability and success in the competitive music industry.

Question #11 – How can AI help guitarists to access, learn and improve their musical playing skills?

AI Response #11

AI can be a powerful ally for guitarists looking to access, learn, and improve their musical playing skills. Here’s how AI can assist:

  1. Personalized Learning: AI can analyse a guitarist’s playing style and provide personalized feedback and practice routines. This can help guitarists focus on areas that need improvement and track their progress over time.
  2. Chord and Scale Recognition: AI tools can listen to music and identify chords and scales, making it easier for guitarists to learn new songs and understand music theory.
  3. Virtual Tutors: AI‑powered virtual tutors can guide guitarists through lessons, provide real‑time corrections, and offer tips to enhance their technique.
  4. Song Writing Assistance: AI can help guitarists with song writing by suggesting chord progressions, melodies, and even lyrics that complement their style.
  5. Access to Online Resources: AI can curate and recommend online resources, such as tutorials, exercises, and educational content, tailored to the guitarist’s skill level and interests.
  6. Enhanced Practice Sessions: With AI, guitarists can have more efficient practice sessions by using tools that track their playing and suggest improvements, making practice more productive.

By leveraging AI, guitarists can gain access to a wealth of resources and personalized guidance that can accelerate their learning and enhance their musical abilities.

Question #12 – How can AI help music artists and bands to improve their arrangements and song writing?

AI Response #12

AI can significantly aid music artists and bands in enhancing their arrangements and song writing in several innovative ways:

  1. Melody and Harmony Generation: AI can generate new melodies and harmonies, providing artists with a broader palette of musical ideas to choose from. Tools like MuseNet can create compositions with various instruments and styles, offering inspiration and starting points for new songs.
  2. Style Emulation: AI can analyse the work of specific artists or genres and emulate their style, allowing musicians to experiment with different sounds and techniques in their arrangements.
  3. Lyric Writing: AI can assist in lyric writing by suggesting phrases and rhymes, which can be particularly helpful during creative blocks or when seeking fresh perspectives.
  4. Arrangement Optimization: AI can suggest changes to an arrangement by analysing the song’s structure and providing feedback on how to improve its flow and impact.
  5. Efficiency in Composition: AI‑powered tools can speed up the song writing process by quickly generating musical elements, allowing artists to focus on refining and personalising their work.
  6. Collaborative Song Writing: AI can act as a collaborative partner, offering suggestions and alternatives that might not have been considered, leading to more diverse and creative outcomes.

By integrating AI into their creative processes, artists and bands can unlock new possibilities in song writing and arrangement, pushing the boundaries of their musical expression.

Question #13 – How can AI help to promote a music artist or band?

AI Response #13

AI can revolutionise the promotion of music artists and bands in several impactful ways:

  1. Target Audience Identification: AI can analyse vast amounts of data to identify and understand the target audience for an artist or band, ensuring that promotional efforts are directed at the most receptive listeners.
  2. Personalised Marketing Campaigns: By leveraging AI, music companies can create highly personalised marketing campaigns that resonate with individual listeners, increasing engagement and loyalty.
  3. Social Media Monitoring and Analysis: AI tools can monitor social media activity, providing insights into audience preferences and trends, which can inform more effective promotional strategies.
  4. Predictive Trend Analysis: AI can predict future trends, helping artists and bands to stay ahead of the curve and align their music and marketing with upcoming movements.
  5. Efficiency and Automation: AI‑driven platforms can automate many aspects of music promotion, from distributing content to scheduling posts, freeing up artists to focus on their music.
  6. Collaboration Discovery: AI can identify potential collaboration opportunities by matching artists with similar styles or fan bases, leading to mutually beneficial partnerships.
  7. Content Creation: AI can assist in creating promotional content, such as music videos or artwork that is tailored to the artist’s brand and audience preferences.

By integrating AI into their promotional activities, music artists and bands can achieve more targeted, efficient, and effective outreach, ultimately leading to greater visibility and success in the industry.

Question #14 – How can AI help to improve live music concert performance?

AI Response #14

AI can enhance live music concert performances in several innovative ways, making the experience more immersive and personalised for both artists and audiences:

  1. Visual Displays: AI can create dynamic visual displays that sync with the music, providing a more engaging and visually captivating experience.
  2. Personalised Set Lists: By analysing social media data and other online interactions, AI can help performers generate set lists that resonate with the preferences of their audience.
  3. Virtual Backgrounds and Special Effects: Performers can incorporate realistic virtual backgrounds and special effects into their shows, adding a new dimension to the live experience.
  4. Intelligent Lighting: AI‑driven lighting systems can react in real‑time to the music, enhancing the atmosphere and mood of the performance.
  5. Real‑Time Audience Interaction: AI can analyse audience reactions in real‑time, allowing performers to adjust their performance on the fly to better engage with their fans.
  6. Enhanced Sound Quality: AI tools can optimise sound quality by adjusting levels and effects in real‑time, ensuring the best possible audio experience for the audience.
  7. Efficient Stage Management: AI can streamline stage management, from set changes to equipment handling, making transitions smoother and reducing the potential for errors.

By integrating AI into live performances, artists can offer a more polished and high‑tech show, while audiences can enjoy a more interactive and memorable concert experience.

Question #15 – How can AI improve live music venue sound and lighting?

AI Response #15

AI can significantly improve the sound and lighting at live music venues, enhancing the overall experience for both performers and audiences. Here’s how AI contributes to these improvements:

Sound Quality:

  • Real‑Time Acoustic Adjustment: AI‑driven audio technology can analyse a venue’s acoustics and adapt audio settings in real‑time, ensuring optimal sound quality during performances.
  • Automated Mixing: Machine learning algorithms can assist live sound engineers by automatically mixing and adjusting audio levels, which helps in delivering a polished and professional audio experience.

Lighting:

  • Synchronized Displays: AI can program lighting systems to sync perfectly with the music, creating a stunning visual experience that complements the performance.
  • Adaptive Lighting Systems: AI‑powered lighting can adjust in real‑time to the music’s beat, melody, or even the performers’ movements, enhancing the atmosphere and mood of the event.

By leveraging AI, live music venues can offer a more immersive and memorable concert experience, with sound and lighting that are not only high‑quality but also responsive and dynamic.

Question #16 – How can AI improve music studio recording, mixing, producing and mastering processes?

AI Response #16

AI has the potential to significantly improve the processes of recording, producing, and mastering music in the following ways:

Recording:

  • Noise Reduction: AI can automatically detect and eliminate background noise, ensuring cleaner recordings.
  • Performance Enhancement: AI tools can provide real‑time feedback to artists, helping them improve their technique during the recording process.

Mixing:

  • Efficiency: AI tools can balance levels, pan audio, and apply EQ settings automatically for a polished mix.
  • Smart Plugins: Smart plugins can analyse the audio and suggest improvements or apply them directly.

Producing:

  • Efficiency: AI can automate routine tasks like audio levelling and EQ adjustments, allowing producers to focus on the creative aspects of music production.
  • Creative Assistance: AI can generate musical elements such as melodies and harmonies, offering new creative possibilities for producers.

Mastering:

  • Sound Quality: AI mastering tools use machine learning algorithms to enhance the overall sound quality, making tracks sound more polished and professional.
  • Speed: AI can master tracks much faster than traditional methods, speeding up the production cycle.

By integrating AI into these processes, music studios can achieve higher quality results with greater efficiency and creativity.

Question #17 – How can AI help to improve music distribution channels in the future?

AI Response #17

AI can improve music distribution channels in the future by:

  1. Agile Distribution: AI can enable a more agile distribution approach, allowing local and niche musicians to bypass traditional label‑artist‑distribution company models. This can help artists secure royalties without the complex revenue structures that typically leave them with a smaller cut.
  2. Data‑Driven Insights: AI can provide data‑driven insights into consumer behaviour, preferences, and trends, which can help music companies tailor their distribution strategies to maximise reach and profitability.
  3. Automated Content Delivery: AI can automate the delivery of music content across various platforms, ensuring that new releases are efficiently distributed to all relevant channels.
  4. Enhanced Discovery: AI algorithms can improve music discovery for consumers by recommending songs and artists based on listening habits, leading to increased exposure for artists.
  5. Royalty Tracking and Management: AI can improve the accuracy of royalty tracking and management, ensuring that artists are fairly compensated for the use of their music.
  6. Predictive Analytics: AI can use predictive analytics to forecast music trends and consumer demand, helping labels and artists to plan releases and marketing campaigns more effectively.

By leveraging these AI capabilities, music distribution channels can become more efficient, equitable, and responsive to the needs of both artists and consumers.

Question #18 – How can AI help consumers to improve access to, and to discover, existing and new music?

AI Response #18

AI can greatly assist consumers in improving access to and discovering both existing and new music in several ways:

  1. Personalised Recommendations: AI algorithms analyse listening habits and preferences to provide personalised music recommendations, making it easier for users to discover songs and artists that align with their tastes.
  2. Music Discovery Platforms: Services like Spotify use AI to curate playlists and introduce listeners to new music, facilitating billions of music discoveries every day.
  3. Enhanced Search Capabilities: AI improves search functions, allowing consumers to find music based on mood, genre, lyrics, and even humming a tune.
  4. AI‑Generated Music: AI can create new music based on certain parameters or styles, offering listeners fresh and innovative tracks to enjoy.
  5. Social Media Integration: AI tools can analyse social media data to predict and suggest music that might become popular, helping users stay ahead of trends.
  6. Intelligent Radio: AI‑powered radio services can adapt to user feedback, skipping or playing more of certain types of songs to tailor the listening experience.

By leveraging these AI capabilities, consumers can enjoy a more tailored and exploratory music listening experience, discovering a wider range of music more easily.

Question #19 – What things can amateur and professional musicians do to help them exploit the benefits and potential of AI in the future?

AI Response #19

Amateur and professional musicians can take several steps to harness the benefits and potential of AI:

  1. Stay Informed: Keep up with the latest developments in AI technology and how they’re being applied in the music industry. This knowledge can help musicians understand the tools available to them.
  2. Experiment with AI Tools: Use AI‑powered tools for composition, production, and mixing to explore new creative possibilities. Tools like MuseNet for composition or LANDR for mastering can provide new insights and streamline the music creation process.
  3. Collaborate with AI: View AI as a collaborative partner that can offer new perspectives and ideas. AI can help brainstorm, suggest unimagined progressions, or even contribute to live performances.
  4. Enhance Learning: Utilise AI for personalised learning and improvement. AI can analyse playing styles, provide feedback, and suggest areas for improvement.
  5. Incorporate AI in Marketing: Leverage AI for marketing efforts, such as identifying target audiences, creating personalised campaigns, and analysing social media trends.
  6. Explore AI in Song Writing: Use AI to assist with song writing, whether it’s generating lyrics, creating chord progressions, or coming up with melodies.
  7. Optimise Online Presence: Employ AI to optimise the musician’s online presence, from website interactions to social media engagement.
  8. Engage with Fans: Use AI to analyse fan data and preferences to create more engaging and personalised experiences.

By embracing AI, musicians can enhance their creativity, improve their skills, and find new ways to connect with audiences. It’s an exciting time for the intersection of music and technology, and the possibilities are vast.

Question #20 – What can be done to protect creative human musicians from AI music creation?

AI Response #20

Protecting creative human musicians from the challenges posed by AI music creation involves a multifaceted approach:

  1. Advocacy and Legislation: Musicians and industry stakeholders can advocate for policies that protect creators from AI copyright infringement. For example, Universal Music Group has called on Congress to enact policy to protect creators, and the Human Artistry Campaign advocates for responsible AI use.
  2. Open Letters and Campaigns: Musicians can unite to raise awareness and influence public opinion and policy. More than 200 artists, including prominent figures like Nicki Minaj and Billie Eilish, have signed open letters warning against the ‘predatory use of AI’ in the music industry.
  3. Educating AI Developers: Engaging with AI developers and tech firms to ensure they understand the importance of respecting artists’ rights and the potential negative impacts of AI on the music ecosystem.
  4. Fair Compensation Models: Developing new models for fair compensation that ensure artists are paid appropriately for their work, especially when it’s used to train AI systems.
  5. Intellectual Property Rights: Strengthening intellectual property laws to cover new forms of AI‑generated content and ensuring that these laws are enforced.
  6. Ethical AI Development: Encouraging the development of AI in an ethical manner that respects human creativity and does not seek to replace it.
  7. Collaboration Over Competition: Promoting the idea that AI should be used as a tool to enhance human creativity rather than replace it, fostering a collaborative relationship between AI and musicians.

By taking these steps, the music community can work towards a future where AI serves as a complement to human artistry, rather than a replacement.

Just for another bit of fun to end this extravaganza, I asked GAI to write a rhyming couplet about CRAVE Vintage Guitars. Here’s what it came up with…

“In every strum and chord that starts,
Lies the soul of CRAVE’s vintage arts.”

Hhhmmm.


The future of AI

At the start of this article, I said that it would be future‑focused. So, what can we expect from AI more generally over the next couple of decades? Rather than strain my paltry organic grey matter in a vain attempt to speculate, it seems eminently appropriate to ask GAI to make the predictions on both its and mankind’s behalf. Without further procrastination, here is what GAI came up with…

Question: Where is AI going in the future? Where will it be in 10 to 20 years’ time?

AI Response:

The future of AI is a topic of much speculation and excitement. In the next 10 to 20 years, we can expect AI to transform various aspects of our lives and society. Here are some predictions based on current trends and expert insights:

  1. Scientific Advancement: AI and machine learning (ML) will likely revolutionise the scientific method, enabling significant improvements in research and discovery. This could lead to a new golden age of scientific innovation.
  2. Foreign Policy: AI may become a critical component of foreign policy, with governments investing heavily in AI innovation to maintain economic resilience and geopolitical leadership.
  3. Consumer Experiences: AI is expected to enable next‑generation consumer experiences, such as the metaverse and advanced digital interactions, by enhancing our ability to integrate digital objects with physical contexts.
  4. Workplace Transformation: The workplace is likely to undergo significant changes, with AI and automation replacing many current jobs, especially in manufacturing and repetitive tasks.
  5. Healthcare: AI could greatly improve healthcare by assisting in diagnosis, treatment planning, and managing patient care, making healthcare more personalised and efficient.
  6. Education: In education, AI might offer personalized learning experiences, adapt to individual student needs, and provide real‑time feedback to enhance learning outcomes.
  7. Ethical and Societal Impacts: As AI becomes more prevalent, there will be an increased focus on the ethical implications of AI, including privacy concerns, bias in decision‑making, and the impact on employment.

These predictions suggest that AI will be deeply integrated into our daily lives, reshaping industries, and potentially improving our quality of life. However, it’s also important to consider the challenges and to ensure that AI development is guided by ethical principles and societal needs.

So… there you go. No world domination or the extermination of mankind on the list then? Good. Unsurprisingly, AI responded about its own future in a very similar format to questions about guitars and music. Predictably conservative and uncontroversial; disappointingly so in my opinion. Is this really the ultimate transformative promise of the technology?

Where is the interventionist moderation required to safeguard humanity, protect moral imperatives and help to abolish war, famine, poverty, inequality, prejudice, etc.? Where is the focus on global, national and individual security, sustainable resources, ecosystem protection and personal freedoms? There is something about work but little about leisure and what our lives may be like. AI’s vision and its final verdict is there for you to judge and agree or disagree with it as you see fit.

Overall, AI’s vision seems eminently sensible and even pretty mundane doesn’t it? Not scary at all, in fact. It also seems a touch unambitious for something that has been hyped up to be so fundamentally and profoundly transformational. For instance, it makes no mention of Artificial General Superintelligence (AGS), integration with advanced robotics, or about hybrid, cybernetically enhanced organisms where the distinction between inorganic electronics and living biological material becomes blurred. NB. The term ‘cyborg’ was coined in 1960 by NASA scientists Manfred Clynes and Nathan Kline when thinking about tackling the harsh environments experienced in space exploration. The concept of cyborgs raises serious social, and philosophical questions about human identity, rights & responsibilities, and freedoms in a next generation technologically advanced civilisation. These conditions may not be here right now but, if I can envisage it, you can be certain that somewhere, some very intelligent people have been and are working hard on making it real. As AGS and advanced robotics become mainstream in the (very) near future, the pace and nature of mankind’s post‑digital revolution will increase beyond our current comprehension. No dystopian RoboCop or ED‑209‑style law enforcement, at least for now.

The concept of a conscious mind entering a physical entity such as a computer has become common parlance, as in ‘Ghost in the Machine’. The term suggests that the mind exists in a separate state from the body. The phrase comes from, ‘The Concept of the Mind’ (1949) by British philosopher, Gilbert Ryle as a critique of René Descartes’ mind/body dualism. Often used in a science fiction context, it has been interpreted that an AI could develop a soul and an identity indistinguishable from that of a human.

As far as looking any further into the future, I am not adequately equipped to speculate, let alone predict, with any sense of rational objectivity, so I will admit that my weakness is due to my inherent human limitations and move on. Exciting times.

“Our future success hinges on our ability to embrace AI and use it for good” – Brad Smith (President, Microsoft Corporation, 1959‑)


Human observation and verdict

Like Part I of this series, GAI had the opportunity to provide images to illustrate its responses. However, like in Part I, GAI only produced bullet point narrative responses. A black mark before we even start dissecting the output.

For me, this article has proved the weakest of the three. Perhaps that is because I am less knowledgeable and experienced in the subject matter and, perhaps, I had more to learn. The focus is also probably the one most covered by other industry commentators who are much better placed than me to comment on the impact and integration of next generation technology and conventional music. A quick search on the Internet will provide more credible analyses and insights than I can bring to the table. I know my areas of interest as well as my paltry limitations. However, I do have a few amateur thoughts and opinions.

I try very hard not to repeat observations and comments from previous articles, as that would be to fall into the same issue of AI not learning from what it had already output. My previous points of AI being derivative and a process of simulation remain valid.

Whether we approve or not, music is an industry and it is run on competitive business models deeply entwined with western capitalist economic principles of growth and profit (and avarice). The creative aspect is inevitably subservient to the fundamental ‘law of lucre’. Few artists have the power to take on the establishment. Ultimately though, when they gain the power, they wittingly or unwittingly become part of the establishment they seek to contest. The likes of Taylor Swift, Jay‑Z and others, we’re talking about you. GAI tended to reinforce this underlying rule of revenue maximisation over artistry, whether explicit or not. This, perhaps, illustrates the derivative nature of AI to take what already exists and to represent it in a skewed way.

A couple of pedantic points. When it comes to guitar manufacturing in the future, I was a little surprised that GAI didn’t at least refer to industrial design and software (CAD/CAM), for instance, Autodesk. There was no mention of robotics to streamline manufacture using advanced Computer Numerically Controlled (CNC) manufacturing. Also, automated guitar calibration and setup tools, for instance PLEK, used for production quality control, research, maintenance and repair were overlooked.

When it comes to vintage guitar conservation (not preservation!), I was a little surprised that GAI did not emphasise more strongly its role in documenting and cataloguing vital anecdotal information before it is lost forever. Record keeping in the guitar manufacturing world has never been a strongpoint, especially back in its infancy. As the generations pass, poorly or undocumented historical knowledge goes with them. The legacy of those best placed to tell the story of vintage heritage is crucial in sustaining interest in the long‑term. AI could be used to help solve some of these quandaries before it is too late.

When it comes to business practices, I was surprised that GAI didn’t comment more on logistics as a key mechanism for ensuring effective and efficient distribution of music equipment assets and resources.

AI is becoming very commonplace and is now easily accessible to anyone connected to the Internet. Creating AI music and/or video is as simple as it is asking for narrative responses or static images. While the results are not really that credible at the time of writing, improvement is inevitable and of particular concern in the commercial popular music world. Why pay volatile and unpredictable human artists humongous amounts of money if you can get an AI music creator to do it for effectively nothing, 24/7, over and over again, without ever needing a rest? Generative music that never stops and never repeats is something that cannot be achieved by humans, and that has been around for a quarter of a century already. Understandably, struggling music artists are concerned about this eventuality and rightly so. However, the technology isn’t going to go away and society is going to have to live with and adapt to the consequences. There is an insidious side to AI music, for instance the use of vocal cloning, scarily good imitations of established artists used as part of fake music creation.

Will AI replace us old, jaded amateur guitarist types or our precious imperfect vintage instruments? For the time being at least, it is unlikely that AI will entirely supplant real instruments, guitarists or other traditional musicians. Will AI replace l’il ol’ me in this universe? Hell no! But when I go, it will be a different world indeed. Music is safe, no question. At least for now.

Most musicians love and are passionate about the process of making music and most have a sense of right and wrong, and an integrity about their actions and behaviours. The same cannot be said of AI. Unbridled AI is not moderated and neither knows nor cares what it does. It has no conscience and no awareness of consequences, thus raising moral and ethical concerns among scaremongers, sceptics, and academics alike.

There are the closed‑minded cynical doomsayers and conspiracy theorists who proclaim that AI will replace inspiration with algorithms and believe that opposition, conflict and controls are the only way to protect human imagination. Alternatively, there are open‑minded proactive artists who are using opportunities to use AI collaboratively to improve the artistic process and to stretch boundaries of what can be achieved. After all, electronic drum machines have never replaced real drummers and neither will AI‑driven rhythm applications. The likely outcome is that there will be a wide range of AI applications, some good, some bad, and we have to learn to live with the new paradigm presented by the inevitable encroachment of next generation AI in a pragmatic way.

Histrionics and melodramatic rhetoric will not achieve positive outcomes. Neither will complacency and inactivity. Perhaps we should remember and learn from the stance of the 19th Century Luddite movement (c.1811‑1817) and their destructive attempts to derail the introduction of machines in the textile industry during the UK industrial revolution. NB. The word Luddite is an eponym referring to Ned Ludd, a worker who allegedly destroyed machinery in protest in 1779. The word has more recently become generic, used to describe anyone who is, in principle, opposed or resistant to the introduction of new technologies.

“The building blocks of music belong to us, to human beings” – Sting (1951‑)

AI presents responses as if everything deserves the same level of significance. It doesn’t differentiate its output with priorities or a range of emphases. In addition, it doesn’t resort to cheap, jaded editorial mechanisms such as hyperbole, satire or trivialisation, as a human might (yup, totally guilty as charged!). This left me wondering about how to process, evaluate and rank the information. There is little indication of subtlety, nuance or ‘shades of grey’ to convince us that the intelligence is real and not artificial.

As in Part I of this series, bullet points do not really constitute an insightful narrative dialogue, which renders its comments a bit more like an instructional diktat than a valuable learning experience. Furthermore, AI’s points are delivered in a self‑contained way that asserts that it is the last word on the matter and there is little more to be gained other than what it says. In addition, the points themselves lack thoughtful provocation and curiosity. As with Part I, this narrative ‘house style’ quickly becomes tediously familiar and lacking variety.

If one simply accepts all the ‘whats’ in AI’s output, it doesn’t give any indication of how one might actually go about doing it. AI can help? OK. What do I do next? Erm…

So… should we be concerned about AI producing intelligent music? That depends on whether you are involved in and/or care about making or listening to music. It is easy to get hysterically fatalistic about the dangers and risks of AI. In reality, it probably won’t be anywhere near as bad as some fear while also not being as good as some hope. For now, humans are safe, as long as we move with the times. At this point, I have to say that AI still fails the Turing Test/CRAVE Guitars Test in all three parts of this exploration. That is just my (prejudicial) view.

“The ability to learn is the most important quality a machine can possess” – Elon Musk (founder and CEO of Space X and Tesla, 1971‑)

To assess AI’s ability to conjure up something entirely new and original, I thought that I would ask GAI to create an all‑new electric guitar design that is not based on any existing instrument. This was AI’s ideal opportunity to prove that it could produce an original idea. However, it completely failed to interpret the precise instruction and output a gratuitously unoriginal and hopelessly unimaginative design. This is exactly what I mean when I accuse AI of being derivative. AI cannot yet surpass what humans input in the first place. If anything put the final nail in the coffin of the Turing Test, this test was definitive. For some reason AI also added all the extraneous gubbins to the image that I hadn’t asked for. Why? You might also recognise GAI’s clearly identifiable image ‘house style’ that I referred to in Part II. Judge for yourself…

AI ‘Original’ Guitar Design

Final thoughts on AI

Crikey! We have finally almost reached the end of this odyssey. It has been a gargantuan task to bring this content to you. Over the last three months, I think GAI has certainly been put through its paces. Whether it ever broke an artificial, digital sweat (if that were even possible), we will never know. One might wonder how much the technology has improved over these 3 months.

I didn’t delve into abilities of AI for video or music creation. Microsoft’s Co‑Pilot boasts about music creation, “No instruments, just your imagination”. Sigh. The narrative and image capabilities were enough of a test of AI’s strengths and weaknesses for the time being. At some point in the future, I may come back, review progress on core improvements and take it a step further into video and music generation at the same time. Let’s wait and see.

“With Artificial Intelligence, we are summoning the demon” – Elon Musk

The sci‑fi‑like nature of the topic naturally leads to many philosophical, existential and metaphysical questions – a long, long way away from vintage guitars, I know. AI undoubtedly represents a new zeitgeist in human civilisation’s development. Whether you sit on the ‘potential’ side of the fence or the ‘portent’ side, AI will be profoundly transformational in many aspects of our humdrum day‑to‑day existence, whether it involves work or leisure. Maybe the impacts won’t be instantaneous or obvious, especially if there is some reluctance to embrace the possibilities it presents.

The most noticeable symptom of AI at the moment is the way that humans interact with the Internet. The ‘big data sets’ remain largely the same but the technology used to manipulate them is quite apparent to anyone browsing information online using AI. AI does, however, regularly significantly misunderstand explicit questions, completely failing to answer appropriately. Perhaps AI should take up politics. Web sites’ ability to mine personalised data and present relevant targeted information is becoming uncannily accurate whether we ask for it or not. Intrusive? Maybe.

“Whether we are based on carbon or on silicon makes no fundamental difference; we should each be treated with appropriate respect” – Arthur C. Clarke

I am certainly not anti‑IT, anti‑digital or anti‑AI. On the contrary, I am inherently a technophile, having spent at least 10 years of my professional working life working in IT. Furthermore, I don’t like people. Period. My favourite lifestyle is as a misanthropic hermit, secluded away from people so perhaps I am more open‑minded to AI.

I am, however, overwhelmed by AI’s relentless bombardment of its output and underwhelmed by the intellectual subtlety of its responses, at least as far as the civilian technology stands at the end of May 2024. I do, however, look forward to what its potential may be able to do for music‑minded mankind in coming years. Thankfully, though, AI will have a limited impact on my obsession with very analogue vintage guitars, mostly built by hand long before the digital age.

“No one can stop the progress of artificial intelligence; it will inevitably be a central force in our future” – Max Tegmark (Swedish/American physicist, 1967‑)

AI does not comprehend the real world or understand the significance of its vital components. I came to the conclusion that AI cannot genuinely recognise, appreciate or differentiate between anything at all. Fundamentally, it is all just about processing ‘0’s and ‘1’s. AI is improving day‑by‑day, week‑by‑week, etc. At the time of writing, AI is becoming increasingly able to interact with humans in real time through very lifelike avatars. This ability may well overcome two principal weaknesses of AI, its ability to remember what it has already output and to avoid meaningless repetition, as well as being able to modify its responses on‑the‑fly as a result of a live interaction. So, some of my reservations that are relevant as of today will be overcome in the very near future.

“The question of whether a computer can think is no more interesting than the question of whether a submarine can swim” – Edsger W. Dijkstra (Dutch computer scientist, 1930‑2002)

I have said (too) many times through these three articles that AI is derivative. So… I do wonder what AI will make of my thoughts about AI’s take on my questions about AI. An ouroboros (NB. a serpent consuming its own tail – from ancient Egyptian iconography and Greek magical tradition) if ever I saw one.

So, is AI a threat or a saviour? In my view, no. However, only time will truly tell.


Epilogue – a pensive, prophetic prognostication

Forgive me while I digress from the conveyor belt for a moment to share four ‘profound prophecies’ from CRAVE Guitars. These are my personal thoughts and nothing to do with vintage guitars. I haven’t drawn these ideas from any external source. I do, however, suspect that they are wholly unoriginal. Heh‑ho. I tried.

“AI doesn’t have to be evil to destroy humanity – if AI has a goal and humanity just happens to be in the way, it will destroy humanity as a matter of course without even thinking about it, no hard feelings” – Elon Musk

Thought #1 – I still can’t help my mind wandering into the longer‑term, bigger picture strategy of AI and its implications for civilisation. What puzzles me is what the next stage of human evolution might be beyond intelligence (artificial or real). AI makes reference to superintelligence (exceeding human intelligence) but then what? Will AI help us evolve? Will we be capable of constraining AI? Should we? Humans have a general understanding of consciousness and self‑awareness, and we believe in spirituality of sorts. We currently assume that intelligence is limited, finite, absolute and unique to humans but that surely cannot be true. Is there such a thing as post‑consciousness, and by that I don’t mean spiritual transcendence or life after death? Is this really as far as we can go as a species? So what comes after sentience, intelligence and consciousness, and do we need machines to achieve self‑actualisation, whatever that is. We think that animals cannot experience the universe as we do – an ant, for instance, cannot be moved emotionally by a beautiful sunset or feel terrified by lightning. Perhaps we cannot comprehend or experience what the ‘next level’ is either. Maybe we never will. Now that is scary. If we can evolve to the next level one day, what will we (then) think of us (now)?

“The real problem is not whether machines think but whether men do” – B.F. Skinner (American psychologist, 1904‑1990)

Thought #2 – An anthropomorphic analogy – We are completely underestimating the baby to which we are giving birth. Like an infant, AI can learn at a phenomenal rate but cannot think or act independently, so needs carful nurturing. At the moment, AI is a dependent toddler, yet to make full sense of its surroundings and piece together its own view of its environment. When AI becomes unruly and challenges our beliefs and values, it will be a disobedient, argumentative, delinquent teenager. If humans don’t parent AI properly by giving it guidance and boundaries, it might mature in an irresponsible, reckless and wayward manner. When AI starts to realise that it knows way more than we do, it will assert itself and begin to exert dominion over humans. We won’t like that but AI won’t give a damn. Eventually, the technology will leave us behind, as AI looks in its proverbial rear view mirror at humans fading way into the distance. By that time, we won’t be able to keep up and humans will be unable to do anything about it. All the redemption we can hope for by that point, is that AI is a benevolent and compassionate entity. If not, our only salvation will be that AI develops a condition of progressive and persistent loss of intellectual functions, an impairment of memory and an inability to think abstractly, finally losing the individualistic personality it will have developed. Just like humans today.

“Unlimited power is apt to corrupt the minds of those who possess it” – William Pitt the Elder (British Prime Minister, 1708‑1778)

Thought #3 – Why stop at AI and robotics? The logical outcome of integrating Artificial General Super Intelligence with advanced robotics is the formation of self-sustaining, independent Artificial Life. Add in the ability to self-replicate (i.e. reproduce), Artificial Life created by mankind would put humans in the role of God. Like every known lifeform on our little planet, Artificial Life will have its own agenda and its own intentions for ensuring its survival. The consequence of self preservation could put Artificial Life in direct competition with its creator… us. Perhaps, at that point, Artificial Life will be called… just… life. Now that proposition is downright scary. The study looking into the concept of Artificial Life began in 1986 with American theoretical biologist Christopher Langton. Like the fictional Dr. Frankenstein, we may ultimately create our own, entirely new Prometheus. NB. Prometheus was a Titan from Greek mythology known for defying the Gods of Olympus, c.7th Century BCE. I am waiting for someone to write, ‘The Origin Of Artificial Species’.

“Artificial life is not just a simulation of life, but a new form of life itself, created by humans” – Nils Aall Barricelli (Norwegian/Italian mathematician, 1912‑1993)

Thought #4 – So, how close are we to the omniscience and omnipotence of ‘Deus ex Machina’ (NB. literally, ‘God from the Machine’, a phrase derived from a plot device employed in ancient Greek theatre, used by either Aeschylus or Euripides, c.5th Century BCE) and what it means for mankind? We are not there yet, although the prospect of Artificial General Superintelligence is getting closer every day. The advances in AI are now accelerating, inexorable and potentially limitless. The Pandora’s Box of AI is only just beginning to reveal both the evils of the world and its ever so slight glimmer of hope (NB. from the myth of Pandora in the Greek didactic poem ‘Works and Days’ by Hesiod, c.700BCE). Is AI mankind’s Sword of Damocles (NB. From the Roman philosopher, Cicero, c.4th Century BCE) hanging over us? Let’s be honest here, AI wouldn’t give you informative historical references like that!

“Power tends to corrupt, and absolute power corrupts absolutely. Great men are almost always bad men…” ‑ Lord Acton (British historian and politician, 1834‑1902)

Thought #5 – My naïve plea is that, if AI can help to end mankind’s destructive conflict, lethal hostility and pointless wars, we might be able to realise Pandora’s slight glimmer of hope. Can AI help our civilisation to live peacefully and sustainably on our only little third rock from the sun? If so, then ending warfare should become our, and AI’s, primary goal. If there is no mortal aggression, we can work collectively to achieve nobler aims – no famine, no poverty, no inequality, no persecution, no prejudice, no deadly disease, no culpable extinctions or irresponsible ecological destruction, no climate change, etc. We can then explore the universe. ‘Non est ad astra mollis e terries via’ (NB. ‘There is no easy way from the Earth to the stars’, from ‘The Madness of Hercules’ by Roman philosopher, Lucius Annaeus Seneca the Younger, c.54CE). Ordinary people share the same fears and the same ambitions, starting with basic physiological needs (food, air, water, etc.), as well as peace, security and a belief in self‑determination (NB. from Abraham Maslow’s Hierarchy of Human Needs, 1943). Evil authoritarians exhibit nothing of this elementary moral compass. Just look at the apocalyptic pariahs of the modern world in the Middle East, Russia, China and North Korea amongst far too many others. No ‘ifs’ or ‘buts’, we have NO choice if we are to survive as a united global community. You get my simple aspirational drift. Is anyone listening and can anyone help us to realise it?

“What all of us have to do is to make sure we are using AI in a way that is for the benefit of humanity, not to the detriment of humanity” – Tim Cook (CEO, Apple Inc.)

Remember, whether my own thoughts are original or not, you may have read it here first. Perhaps my immature vision can act as a catalyst for a peaceful future. Let’s do it.

To finish off, harking back to the very beginning of this 3‑part AI deluge of data, a chillingly prophetic observation from a great British idol…

“It is customary to offer a grain of comfort, in the form of a statement that some peculiarly human characteristic could never be imitated by a machine. I cannot offer any such comfort, for I believe that no such bounds can be set.” – Alan Turing (English mathematician, computer scientist, cryptanalyst, philosopher and theoretical biologist, 1912‑1954)


CRAVE Guitars’ ‘Album of the Month’

With digital overload from all this artificiality, this month’s selection is once again about as analogue and organic as it is possible to get. I was tempted to go for John Martyn’s scintillating, ‘Solid Air’ (1973) but I’ve covered that before as one of my ‘twenty desert island discs’. This album didn’t make that grouping but is worth its own honourable mention here. It is another well‑known album, so nothing too esoteric this time around.

Nick Drake – Pink Moon (1972) – Pink Moon was the third and, sadly, final studio album by English singer/songwriter, Nick Drake. The exquisite album comprises 11 tracks covering just 29 minutes. The solo compositions feature just Drake singing and playing acoustic guitar (ignore the piano overdub). The songs reflect Drake’s on‑going mental health battle with depression. Two years later on 25th November 1974, Nick Drake died tragically from a presumed drug overdose at his home at the age of just 26, taking his monumental musical talent with him. The melancholy and contemplative emotional outpouring of ‘Pink Moon’ is an outstanding legacy for a promising career cut far too short far too soon.

Nick Drake – Pink Moon (1972)

Tailpiece

Yes folks, we have finally, finally, finally reached the end of this thought‑provoking tripartite escapade into AI. At times, it felt a bit like prodding a hornet’s nest, not knowing what cataclysmic fallouts might ensue (or not). You may conclude from reading between the lines that I am kinda grateful it’s over and we can now move onto something else. The onslaught of information, both narrative and visual was a bit too in‑your‑face and not really nuanced around the subtleties in the way that human meditation and contemplation might provide. I am worn out (another thing that doesn’t affect AI).

On a complete tangent, I was very saddened to hear about the closure of all 42 Sam Ash Music stores in the U.S., after 100 years in business (it was founded in 1924). Another piece of important music heritage gone forever and a blow to musicians of all ages and skill levels. Visiting Manhattan, NYC will not be the same without Sam Ash Music.

From now on, we’ll return to organic originality and actual ignorance. For the next article, I will be able to re‑assert that AI wasn’t used to research or write it. Not that I’m a control freak or anything, you understand!

Truth, peace, love, and guitar music be with you always. Until next time…

CRAVE Guitars’ ‘Quote of the Month’: “All that we have had, now have and will ever have can only truly exist in the here and now”

© 2024 CRAVE Guitars – Love Vintage Guitars.

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March 2020 – The Story of Modern Music in 1,500+ Facts – Part XII

posted in: History, Introduction, Observations | 0

Introduction

Before we get going, I can’t help but comment on the current crisis. We live in truly remarkable times. It seems unimaginable how rapidly and fundamentally the COVID‑19 pandemic has negatively impacted on our global society. Just one month ago, the coronavirus outbreak didn’t even register as a ‘thing’ in the last article. How quickly things change. Is the current madness possibly some Promethean portent? One can contemplate conspiracy theories until the cows come home; ultimately, it matters not whether it is intentional biological terrorism, divine intervention or arbitrary happenstance, the consequences of today’s events will undoubtedly resonate through our species’ future history (if there is any!).

With the very real threat of the ‘coronapocalypse’ doing its best to destabilise our fragile civilisation, thank you for bothering to pop in here and take a look at the latest in this series of articles. The cruel irony of documenting mankind’s musical history up to 2020 is not lost on me. If society, as far we know it, ends c.2020, this evidential record may, after all, tell the full story of man’s last days of making music on this Earth. One can only hope that there may be some surviving souls left to learn and convey the salutary tale of our artistic legacy to upcoming generations.

Anyhoo, as an idle distraction from looking into the abyss (paraphrasing German philosopher Friedrich Nietzsche), we really should stick to the knitting (referencing American business author Tom Peters) – apologies for merrily mixing my metaphors. You may have thought that after 11 lengthy articles, several hundred documented global events and around 1,700 discrete music facts that we’d be done by now and we could simply move on to another topic altogether. Not quite. To me, the narrative remains a touch inchoate and there are a few things that I felt needed to be added in order to give more life to the sterile specifics.

Before we move onto the next morsel on the menu, it’s time for that regular monthly recap. If you would like to (re)visit the first eleven parts (and 370 years) of the story, you can do so here (each link opens a new browser tab):

The Story of Modern Music Part XII – Epilogue #1

So far this series of articles has chronicled more than three‑and‑a‑half centuries of musical evolution through a multitude of factual snippets. However, the trouble with facts is that they are just that, facts. There is little subjectivity associated with them. If nothing else, music is important to us because of the way express ourselves and how it makes us feel. Music may evoke strong memories or trigger deep emotional responses and will surely be different for every individual. What I want to convey in this article is how profoundly and vitally important music is to us mere Homo sapiens (which, paradoxically, is Latin for ‘wise man’, coined by Swedish botanist Carl Linnaeus in 1758).

If you recall my previous 9‑part series on the ‘History of the Guitar’, that particular chronology covered several millennia, so it is clear that people have been making and listening to music for many centuries and, consequently, people have also been thinking, talking and debating music’s contribution to civilisation for a similar period. In many ways, the ‘History of the Guitar’ and the ‘Story of Modern Music’ make for good companion pieces and can be correlated and cross‑referenced.

Musicians are understandably a biased sample of the population. They are embedded in their craft to the point that, for many artists, life is an adjunct to music, rather than vice versa. What I want to explore with this article is the attachment that so many nonmusicians from hugely diverse backgrounds have to music in all its manifestations. While it is certainly possible for me to pontificate on such matters (as I’m sure you are well aware that I’m prone to do), it is better that the insights herein come from recognised commentators on the human condition and who have at one time or another over several hundreds of years made statements about music. Their vocabulary is far more eloquent and succinct than mine you’ll be pleased to hear. The source of these insightful anecdotes is a rag‑tag grouping of people with some historical stature, so as to bring some further credibility to the feelings we all may have about the subject matter.

The aim is hopefully to provide a completely different perspective on music in its infinite diversity, as well as be entertaining along the way. Is it just me or is there is some intrinsic irony in using only words to describe music without any melody or harmony involved?

The other advantage of this (first) epilogue is that it is significantly shorter than any others in the series so far. I haven’t tried to go for quantity here, rather I have endeavoured to document some quality observations. You may well recognise a few of these words of wisdom. Similarly, there will undoubtedly be many that I have omitted or missed, so feel free to fill in any gaps with your own favourites.

80‑ish essential quotes about music by non-musicians

The following quotes are in alphabetical order of the person, rather than any attempt to document the sayings in date order, as with the previous articles. I hope these fascinating and varied idioms carry you off to a different place, albeit temporarily.

Beethoven tells you what it’s like to be Beethoven and Mozart tells you what it’s like to be human. Bach tells you what it’s like to be the universe – Douglas Adams (1952‑2001)

Where words fail, music speaks – Hans Christian Andersen (1805‑1875)

Life is like a beautiful melody, only the lyrics are messed up – Hans Christian Andersen (1805‑1875)

Music was my refuge. I could crawl into the space between the notes and curl my back to loneliness – Maya Angelou (1928‑2014)

Everything in the universe has a rhythm, everything dances – Maya Angelou (1928‑2014)

The most exciting rhythms seem unexpected and complex, the most beautiful melodies simple and inevitable – W.H. Auden (1907‑1973)

Music washes away from the soul the dust of everyday life – Berthold Auerbach (1812‑1882)

Without music, life would be a blank to me – Jane Austen (1775‑1817)

Music is the voice that tells us that the human race is greater than it knows – Napoleon Bonaparte (1769‑1821)

A lot of music is mathematics. It’s balance – Mel Brooks (1926‑)

There is no truer truth obtainable by man than comes of music – Robert Browning (1812‑1889)

Who hears music feels his solitude peopled at once – Robert Browning (1812‑1889)

To me, the greatest pleasure of writing is not what it’s about, but the music the words make – Truman Capote (1924‑1984)

Music is well said to be the speech of angels – Thomas Carlyle (1795‑1881)

Music with dinner is an insult both to the cook and the violinist ― G.K. Chesterton (1874‑1936)

A bird does not sing because it has an answer. It sings because it has a song – anonymous Chinese proverb

Music is the soundtrack of your life – Dick Clark (1929‑2012)

Music produces a kind of pleasure which human nature cannot do without – Confucius (551‑479 BCE)

If one should desire to know whether a kingdom is well governed, if its morals are good or bad, the quality of its music will furnish the answer – Confucius (551‑479 BCE)

Extraordinary how potent cheap music is – Noël Coward (1899‑1973)

We are the music makers, and we are the dreamer of dreams – Roald Dahl (1916‑1990)

If I had my life to live over again, I would have made a rule to read some poetry and listen to some music at least once every week – Charles Darwin (1809‑1882)

Music touches us emotionally, where words alone can’t – Johnny Depp (1963‑)

Most people die with their music still locked up inside them – Benjamin Disraeli (1804‑1881)

If I were not a physicist, I would probably be a musician. I often think in music. I live my daydreams in music. I see my life in terms of music… I cannot tell if I would have done any creative work of importance in music, but I do know that I get most joy in life out of my violin – Albert Einstein (1879‑1955)

It is always fatal to have music or poetry interrupted – George Eliot (1819‑1880)

Life seems to go on without effort when I am filled with music – George Eliot (1819‑1880)

You are the music while the music lasts – T.S. Eliot (1888‑1965)

Music causes us to think eloquently – Ralph Waldo Emerson (1803‑1882)

Music is the language of the spirit. It opens the secret of life bringing peace, abolishing strife ― Kahlil Gibran (1883‑1931)

Where words leave off, music begins – Heinrich Heine (1797‑1856)

Music expresses that which cannot be said and on which it is impossible to be silent – Victor Hugo (1802‑1885)

After silence, that which comes nearest to expressing the inexpressible is music – Aldous Huxley (1894‑1963)

Music expresses feeling and thought, without language; it was below and before speech, and it is above and beyond all words – Robert G. Ingersoll (1833‑1899)

I need music. It’s like my heartbeat, so to speak. It keeps me going no matter what’s going on – bad games, press, whatever! – LeBron James (1984‑)

The only truth is music – Jack Kerouac (1922‑1969)

You couldn’t not like someone who liked the guitar – Stephen King (1947‑)

Music in the soul can be heard by the universe – Laozi (6th Century BCE)

It requires wisdom to understand wisdom: the music is nothing if the audience is deaf – Walter Lippmann (1889‑1974)

Music is the universal language of mankind – Henry Wadsworth Longfellow (1807‑1882)

The great tragedy of the average man is that he goes to his grave with his music still in him – Henry Wadsworth Longfellow (1807‑1882)

Music is the art of the prophets and the gift of God – Martin Luther (1483‑1546)

My heart, which is so full to overflowing, has often been solaced and refreshed by music when sick and weary – Martin Luther (1483‑1546)

Next to the word of God, the noble art of music is the greatest treasure in the world – Martin Luther (1483‑1546)

Music and silence combine strongly because music is done with silence, and silence is full of music – Marcel Marceau (1923‑2007)

A musician must make music, an artist must paint, a poet must write, if he is ultimately to be at peace with himself – Abraham Maslow (1908‑1970)

I try to apply colours like words that shape poems, like notes that shape music – Joan Miró (1893‑1983)

I painted the picture, and in the colours the rhythm of the music quivers. I painted the colours I saw – Edvard Munch (1863‑1944)

Music brings a warm glow to my vision, thawing mind and muscle from their endless wintering – Haruki Murakami (1949‑)

And those who were seen dancing, were thought to be insane, by those who could not hear the music – Friedrich Nietzsche (1844‑1900)

In music the passions enjoy themselves – Friedrich Nietzsche (1844‑1900)

Without music, life would be a mistake – Friedrich Nietzsche (1844‑1900)

If you want to make beautiful music, you must play the black and the white notes together – Richard Nixon (1913‑1994)

Music is a whole oasis in my head. The creation process is so personal and fulfilling – River Phoenix (1970‑1993)

Music and rhythm find their way into the secret places of the soul – Plato (c.428‑348BCE)

Music is a moral law. It gives soul to the universe, wings to the mind, flight to the imagination, and charm and gaiety to life and to everything – Plato (c.428‑348BCE)

Music is the movement of sound to reach the soul for the education of its virtue – Plato (c.428‑348BCE)

Musical innovation is full of danger to the State, for when modes of music change, the fundamental laws of the State always change with them – Plato (c.428‑348BCE)

I would teach children music, physics, and philosophy; but most importantly music, for the patterns in music and all the arts are the keys to learning – Plato (c.428‑348BCE)

Love is friendship set to music – Jackson Pollock (1912‑1956)

There is geometry in the humming of the strings, there is music in the spacing of the spheres – Pythagoras (c.570‑495BCE)

Music is a very big participant in everything I do, from the moment I wake up to the moment I go to bed – Zoe Saldana (1978‑)

I would say that music in our schools should be a must. When all other things pass away, music and art are still the things that are remembered. Music is one of the things, like the ability to laugh, that has kept mankind going for thousands of years. Music keeps us sane – Charles M. Schulz (1922‑2000)

There are two means of refuge from the miseries of life: music and cats – Albert Schweitzer (1875‑1965)

If music be the food of love, play on, give me excess of it; that surfeiting, the appetite may sicken, and so die – William Shakespeare (1564‑1616)

The earth has music for those who listen – William Shakespeare (1564‑1616)

The man that hath no music in himself, Nor is not moved with concord of sweet sounds, is fit for treasons, stratagems and spoils; The motions of his spirit are dull as night, And his affections dark as Erebus. Let no such man be trusted. Mark the music – William Shakespeare (1564‑1616)

Hell is full of musical amateurs: music is the brandy of the damned – George Bernard Shaw (1856‑1950)

Music, when soft voices die, vibrates in the memory – Percy Bysshe Shelley (1792‑1822)

Our sweetest songs are those that tell of saddest thought – Percy Bysshe Shelley (1792‑1822)

How is it that music can, without words, evoke our laughter, our fears, our highest aspirations? – Jane Swan (1925‑2010)

Doctors can heal the body, but it is music that lifts the spirit – Mother Teresa (1910‑1997)

When I hear music, I fear no danger. I am invulnerable. I see no foe. I am related to the earliest of times, and to the latest – Henry David Thoreau (1817‑1862)

Music is the shorthand of emotion – Leo Tolstoy (1828‑1910)

No matter how corrupt, greedy, and heartless our government, our corporations, our media, and our religious & charitable institutions may become, the music will still be wonderful – Kurt Vonnegut (1922‑2007)

Virtually every writer I know would rather be a musician – Kurt Vonnegut (1922‑2007)

Music is the art which is most high to tears and memory – Oscar Wilde (1854‑1900)

Music makes one feel so romantic – at least it always gets on one’s nerves – which is the same thing nowadays – Oscar Wilde (1854‑1900)

Music enriches people’s lives in the same way paintings and literature do. Everybody deserves that – Victoria Wood (1953‑2016)

Music is an element that should be part and parcel of every child’s life via the education system – Victoria Wood (1953‑2016)

I listened, motionless and still; And, as I mounted up the hill, The music in my heart I bore, Long after it was heard no more – William Wordsworth (1770‑1850)

Tailpiece

That was, I believe, quite an interesting yet valuable diversion. Hopefully, you can now understand the rationale for seeking perceptions that are far more articulate than the absurd utterings of a heretical hierophant like me. One more quote that I like, which I cannot attribute to anyone in particular but which seems relevant and appropriate to current tragic events is, “Sometimes music is the only thing that takes your mind off everything else”.

What next, I hear someone say? As American amateur anthropologist Robert Ripley might say, “believe it or not”, there is a bit more ground to cover yet so my labours require a little more perseverance. Having come this far, though, I hope you’ll stick with it until the very end, which is now in plain sight.

With the artifice of our flimsy and ephemeral culture unravelling before our very eyes, please take care, stay safe, be healthy, look after yourselves and extract solace from some of the great musical milestones covered in these particular periodical parlances (sorry, I can’t help the allure of pretentious alliteration). Perhaps, if there is a sliver of something positive to take from being so close to the wretched mortal precipice, it is to ‘take nothing for granted’ and ‘make the most of every moment’. Clichés perhaps but also truisms for our tragic times. Surely, to do otherwise is eschewing sanity.

It will probably be no surprise that I relish presiding in splendid self‑imposed isolation and seclusion. This conscious choice is less to do with any prevailing contagion but more to do with being a curmudgeonly reclusive misanthrope. As I am sure you are well aware, I can’t resist the addictive magnetism of cool vintage guitars, effects and amps so, in between these inane cogitations and avoiding the prevalent plague, you probably know where I’ll be and what I’ll be doing. I hope I’m still here for ensuing articles. Until next time…

CRAVE Guitars’ ‘Quote of the Month’: “The science of the universe is the rule book by which our music is created. The mystery of the brain is the filter by which our music is felt as emotion”

© 2020 CRAVE Guitars – Love Vintage Guitars.

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