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We’re announcing something new today: Motif - music that moves with your yoga class.
Instead of static playlists, the music follows the structure and energy of a class and adapts on the fly.
Instead of static playlists, the music follows the structure and energy of a class and adapts on the fly.
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Tero Parviainen retweeted
In other fields of engineering, suddenly gaining the ability to ship "enormously more volume at high quality" and afterward finding the needle to have barely moved at all would be a cause for reflection.
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Tero Parviainen retweeted
It's been my career-long dream to interview @JOSmithIII , the living legend of #DSP from @ccrma @Stanford. And the dream has come true!
Watch the 3-hour Julius #podcast #interview on @YouTube: youtu.be/viKjtgsL2KY
Watch the 3-hour Julius #podcast #interview on @YouTube: youtu.be/viKjtgsL2KY
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Tero Parviainen retweeted
my vocal synth models the vocal tract as a network of branching acoustic tubes, unlike vocaloid which stitches together and pitch-shifts phoneme recordings. still working on improving naturalness by tuning it against recordings of real singers, but I'm already impressed at how cool it sounds!
I only make serious software
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Tero Parviainen retweeted
Mark Fisher’s greatest legacy is of course his interview with Burial in The Wire where Burial says this
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Tero Parviainen retweeted
This is the *opposite* of what we should use AI for.
Introducing: Standard Music.
Infinite, local, open-source music. Discover virtual artists who each have their own backstory, vocal signature, discography, and narrative arc.
All the music is generated locally on your own computer, 100% free.
Out today for macOS 👇
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Tero Parviainen retweeted
iOS app devs rejoice: Touchscreen makes your iteration time faster. No need to deploy on phone. I did this with HypeHype already on Windows touchscreen laptop for a few years. Great to have a touchscreen on Mac too.
PROLED MacBook Proで一番使い勝手が良かったのはiPhoneミラーリング…
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Tero Parviainen retweeted
hot take: you don't need a software factory, and i don't love the term. it's just marketing
all you need is good software engineering and investing your tokens in the right places. the more deterministic the better (and token efficient)
all you need is good software engineering and investing your tokens in the right places. the more deterministic the better (and token efficient)
all the companies selling you a software factory produce a shockingly tiny amount of software
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Tero Parviainen retweeted
Yo, PLT nerds @Jay59009444 just dropped github.com/Barry-Jay-pers….
Explainer PDF at github.com/barry-jay-pers…
Explainer PDF at github.com/barry-jay-pers…
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Tero Parviainen retweeted
Anthropic, the famously pro copyright company
An update on building games with Claude Code:
Last week some of you ran into Claude Code pushing back on game projects it should have just built. We'd added a short rule to the Opus 5.5 prompt to steer Claude away from recreating specific existing games, but it was also kicking in when you referenced one just to describe the mechanics you wanted.
We've updated that rule in 2.1.317. You can name a game to describe what you want and Claude should now build an original game in that genre. If you ask for a copy of the original, it'll offer to build something similar instead.
We want Claude to be as helpful as possible when you're building something original, but also to protect your work if someone else tries to copy it. We'll keep improving this, so let us know if Claude turns down work that's yours. Thanks to everyone who shared feedback!
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Tero Parviainen retweeted
every product i use should just be a headless mcp, that feeds into an agent, where i never have to think about anything underneath.
except for our product, of course.
in our product, customers love the ui and love us very much.
we're special that way.
except for our product, of course.
in our product, customers love the ui and love us very much.
we're special that way.
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Tero Parviainen retweeted
I think we're going to see a new wave of interest in usability.
Chat is hard on the brain. Total opposite of what Don Norman wrote about. 100% holding in your head, remembering things, special modes, etc.
Nobody wants the stuff in their kitchen to be in a different place each time they walk in.
System of record + recognizable display are not going away. What's new is how fluidly we can change state WITHIN those as users.
Chat is hard on the brain. Total opposite of what Don Norman wrote about. 100% holding in your head, remembering things, special modes, etc.
Nobody wants the stuff in their kitchen to be in a different place each time they walk in.
System of record + recognizable display are not going away. What's new is how fluidly we can change state WITHIN those as users.
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Tero Parviainen retweeted
there's no techno without juan atkins ~ rest in peace 🕊️youtu.be/0FNff7PC_NU?si…
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Tero Parviainen retweeted
Increasingly baffled by the lack of a coherent left accelerationist style response to rapidly improving AI.
I understand that many early adherents have moved away from it, and I think largely understand why, but I still feel like it should exist.
This is exactly the situation it was supposed to be relevant for.
Shall we restart it?
I understand that many early adherents have moved away from it, and I think largely understand why, but I still feel like it should exist.
This is exactly the situation it was supposed to be relevant for.
Shall we restart it?
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Tero Parviainen retweeted
Why is there so much obsession with the few hundred cutting-edge math problems solved by AI but so little clamor over the thousands attempted but not solved? The profundity of the lessons about AI and human intelligence buried in that failed set is incredibly underrated.
A rational scientific response would be to meticulously survey the failed problems and the nature of each failure, and get a completely novel map of the intellectual landscape. If there are unifying properties among subclasses of currently prohibitive problems, identifying those properties would be impactful in at least two powerful ways.
First, they would point AI research in new directions as we gain a novel understanding of what is actually hard for AI and why it fails even when it has seemingly piercing superintelligence on other classes of problems.
And second, for the meantime (which could be years or even decades), it would illuminate for the human mathematicians (and ultimately all scientists) where their minds are still valuable and illustrate why it is not yet time to declare all human intellectual work as merely “astronomers pointing telescopes.”
Of course, these two implications seem eventually to come to a head with each other, but they also complement each other and feed into progress and new kinds of human-machine collaboration. Either way, we need to know what remains out of reach and why, and the possession of such knowledge is a highly underrated scientific goldmine.
A rational scientific response would be to meticulously survey the failed problems and the nature of each failure, and get a completely novel map of the intellectual landscape. If there are unifying properties among subclasses of currently prohibitive problems, identifying those properties would be impactful in at least two powerful ways.
First, they would point AI research in new directions as we gain a novel understanding of what is actually hard for AI and why it fails even when it has seemingly piercing superintelligence on other classes of problems.
And second, for the meantime (which could be years or even decades), it would illuminate for the human mathematicians (and ultimately all scientists) where their minds are still valuable and illustrate why it is not yet time to declare all human intellectual work as merely “astronomers pointing telescopes.”
Of course, these two implications seem eventually to come to a head with each other, but they also complement each other and feed into progress and new kinds of human-machine collaboration. Either way, we need to know what remains out of reach and why, and the possession of such knowledge is a highly underrated scientific goldmine.
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