The hottest AI music Substack posts right now

And their main takeaways
Category
Top Technology Topics
The Honest Broker • 14029 implied HN points • 30 Jan 26
  1. Human imperfections are central to artistic expression; mistakes and rough edges can make music more expressive and emotionally powerful.
  2. Art is an expressive human activity, so works produced by machines—even if technically flawless—are categorically different from human-created masterpieces and lack the same expressive meaning.
  3. AI that closely imitates human creativity can feel unsettling, and this gap between human artistry and machine imitation can’t be bridged merely by better algorithms.
The Honest Broker • 15392 implied HN points • 22 Jul 25
  1. Spotify is responding to criticism by taking steps to prevent unauthorized AI tracks from being uploaded. This shows they are listening to feedback.
  2. The company has a clear policy against impersonation and has acted against those who violate their content policies.
  3. There's a sign that public pressure is working, as platforms are starting to take responsible actions regarding AI content.
Dada Drummer Almanach • 235 implied HN points • 07 Dec 25
  1. AI runs in time as computation but has no subjective "now" or lived sense of duration, so it analyzes musical sequences without experiencing their unfolding.
  2. AI can copy and combine musical patterns well enough to move listeners, but it lacks embodiment, genuine spontaneity, and true improvisational presence, which often makes its music feel derivative or airless.
  3. AI might develop more creative practice if built to iterate, adapt to feedback, and collaborate with humans, otherwise it will mostly reinforce past patterns and risk homogenizing musical culture.
bad cattitude • 100 implied HN points • 04 Jan 26
  1. Welcoming 2026 with a musical retrospective that sets a celebratory New Year tone.
  2. The author anticipates skeptics who will say the music is AI-generated, acknowledging that criticism up front.
  3. The piece is behind a paywall and aimed at paid subscribers, with clear subscription and sign-in prompts.
Life Since the Baby Boom • 922 implied HN points • 19 Jul 25
  1. Big music companies are likely to license their music to AI firms. This means that AI companies will pay for access to use real music to create new songs.
  2. When artists sign with a music label, their music might be used to train AI without them knowing. If they want to opt out, they may have to be very influential in the industry.
  3. People generally dislike AI-generated music, viewing it as low quality. Even so, it could become common in places like elevators or waiting rooms, which reflects concerns about its impact on genuine artistry.
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Dada Drummer Almanach • 221 implied HN points • 17 Nov 25
  1. AI music is everywhere now, with a huge number of fully generative tracks being uploaded daily. This means we have to rethink how we view and interact with music today.
  2. Many people can't tell the difference between AI-generated music and real music, which shows just how far AI has come. However, most of this AI music isn't very good.
  3. Instead of focusing on stopping AI music, we should focus on celebrating and promoting human creativity and the value of real music. There can be a comeback for human-made music, and it's important to start rebuilding now.
Justin E. H. Smith's Hinternet • 362 implied HN points • 18 Aug 25
  1. After a head injury, the author feels an intense need to create music, even though they don't have formal training. They wonder if everyone has hidden musical talents waiting to be discovered.
  2. They find it challenging to express the music in their head, often feeling frustrated by their lack of skills. However, they are using technology, like AI music platforms, to help bring their ideas to life.
  3. The author reflects on how new tech is changing our experience of music, suggesting that AI music might capture the leftovers of human culture rather than the true creative essence.
Crypto Good • 3 implied HN points • 25 Feb 26
  1. Gemini Lyria lets anyone create full songs instantly inside Gemini using simple prompts or uploads, so you don’t need a studio or music training.
  2. It accepts multiple input modes—text prompts, images that it turns into lyrics, and short ideas that it auto-expands—and can produce different languages, styles, and moods.
  3. Creators, founders, and activists can quickly make music for promotion, activism, or just for fun, turning ideas into polished tracks in seconds without expensive gear.
The Day After Tomorrow • 79 implied HN points • 20 Apr 24
  1. AI can now create music by using poems and other inputs, making it easier for people without musical skills to share their creativity.
  2. This technology challenges our ideas about who can be a musician and what music truly means, as machines can produce similar emotional experiences as humans.
  3. As AI music becomes more common, we may need to rethink how we value music and the connections we feel to it, regardless of whether it's made by humans or machines.
Internal exile • 34 implied HN points • 14 Nov 25
  1. Many people can't tell the difference between music made by AI and music made by humans. This raises questions about how we define and perceive what makes music 'real.'
  2. With so much music available, people often consume it quickly without truly engaging. This leads to a more superficial relationship with music, similar to processing data rather than experiencing art.
  3. The rise of AI-generated music reflects a shift in how we interact with art, making it feel less social and more isolated. This could detract from the deeper connections we form through shared musical experiences.
aidaily • 58 implied HN points • 22 Jan 24
  1. Mark Zuckerberg is focusing on building artificial general intelligence at Meta with substantial computing power.
  2. Samsung's Galaxy S24 series introduces AI features like generative image editing and Google search through photos.
  3. Discussion around the potential need for an AI tax due to job losses, cautioning against rushing into such decisions.
#machineCROON • 6 implied HN points • 13 Dec 25
  1. AI music tools have evolved from slow, raw, and wildly creative models that produced messy but interesting sounds to faster, more polished apps that are easier to use but less likely to hit that chaotic magic.
  2. Making music with these systems is a hands-on, iterative craft—seed, prompt, generate, edit, listen— and that process can make a creator feel like the voice even while the model borrows heavily from existing artists.
  3. Combining classical seeds and narrative prompts with AI can yield new concept works and powerful stories, but it also raises real questions about authorship and theft, so responsible attribution and effort matter if the work is to be more than mere plagiarism.
The Seat of Loss • 9 implied HN points • 20 Nov 25
  1. AI-generated music is becoming popular, and some songs created by AI have even charted. However, major labels use copyright claims to control how AI music is distributed, showing a clear interest in the potential profits from this technology.
  2. Even though the quality of AI music may not satisfy audiophiles, many listeners enjoy it. The success of AI artists can be driven by marketing and industry support rather than complete organic appeal.
  3. The rise of AI in music will change how artists produce music, likely encouraging a shift from recorded music sales to live performances, as fans might pay more to see artists perform in person rather than just listening to recorded tracks.
GOOD INTERNET • 20 implied HN points • 18 Apr 23
  1. Automatic swatting incidents are being automated with the use of computer-generated voices, making the harassment technique more dangerous and prevalent.
  2. There are concerns about the intersection of capitalism and AI development, as companies prioritize profit over ethical AI creation.
  3. AI-generated music using synthetic voices by artists like Drake and The Weeknd may pose copyright challenges and raise questions about the future of music creation and distribution.
GOOD INTERNET • 17 implied HN points • 11 May 23
  1. Influencers are creating AI-clones of themselves for interaction and profit.
  2. Artificial intelligence can be used to create digital versions of famous personalities for interaction and entertainment.
  3. There is a growing market for AI-based services like music generation, social networks for AI-bots, and AI-generated food recipes.
Year 2049 • 11 implied HN points • 28 Apr 23
  1. The fight for AI data ownership and fair compensation for website data usage is becoming a significant issue in the tech industry.
  2. Apple is developing an AI health coach called Quartz that will use Apple Watch data to assist with health and wellness.
  3. SpaceX's Starship, despite a recent test flight explosion, is poised to revolutionize space exploration and contribute to humanity in significant ways.
Nano Thoughts • 0 implied HN points • 15 Jul 25
  1. Creating music with AI involves several steps, from generating initial ideas to fine-tuning them, and these steps help improve the quality of the final song. As you experiment, you learn what works and what doesn't.
  2. People often struggle to define their personal 'taste' when it comes to music or any creative work. It's a mix of feelings, memories, and emotions that can change over time and can't always be easily measured.
  3. AI tools can help with creative tasks, but they don't replace the need for human judgment. Understanding when to invest time in perfecting a creative output can make a big difference in quality.