INTRODUCING: ENTHEA! 👁️
calling all:
🎛️ VJs & live visualists
🌀 ravers & festival heads
🍄 psychonauts & consciousness explorers
🎚️ DJs & producers
🧠 neuro & math nerds
✨ shader heads & generative artists
🧘 meditators & breathwork folks
…and anyone who's ever wanted to watch their music hallucinate!
what started as a one-shot prompt test for a science-based drug-trip simulator turned into what just might be the best music visualizer i've EVER seen! 🤯
I set out to test Claude's willingness to simulate various drug experiences like LSD, psilocybin, DMT, cannabis — basically all the entheogens!
the rule was simple: don't FAKE psychedelic visuals, RESEARCH them and COMPUTE them. so i (or rather, Opus-4.8) simulated the visual cortex (a neural field crossing a Turing bifurcation, mapped back through the retina→brain transform) and the real Klüver form constants just emerged. tunnels, spirals, lattices, straight out of the math. 🧠
then we couldn't stop. reaction-diffusion, quasicrystals, hyperbolic tilings, a 3D Mandelbox you fall through, 50k particles surfing a fluid-dynamics field. every mode is real math, cited in-app. receipts, not vibes.
then it got unhinged: we set AI mathematician-agents loose to invent patterns NEVER rendered in a visualizer, judged them, and turned the winners into shaders. shipped 10 novel ideas — Indra's Pearls, Arnold tongues, Gaussian primes, sine-Gordon breathers… 🤯
and somewhere it became a full VJ instrument: feed it a track and it reads the whole waveform, feels the drop coming with "drop detection", and fires a 🌀 WORMHOLE on the beat!
the visuals sync with your music via mic or browser tab sharing for low latency! works well with Chromium browsers like Brave, Edge, etc.
29 modes. one html file. zero deps. AGPL — free forever, yours to fork. 🐉
ex natura, per mathematicam, ad visionem 🜂
gg 🫡
Today, @MichaelElabd, @QuantumArjun, and I are excited to announce Trajectory.
We are a research lab and product company building the platform for Continual Learning.
Our platform unlocks the signal already sitting in product usage, so companies can continuously post-train large-scale agentic models that outperform the frontier. @trajectorylabs
We’ve raised $15M from @Conviction, @BessemerVP, @radicalvcfund, @jeffdean, @drfeifei and more.
We’re partnering with some of the best AI-native companies: @ClayRunHQ@Harvey, @DecagonAI, @mercor_ai, @RogoAI to power their agentic systems, some of which we are already in production with.
We’ve brought together a world class research team from DeepMind, OpenAI, Apple, Meta Superintelligence, Amazon AGI, Scale AI, and an elite product team from Stripe and Figma.
AI will never again start on day one. Every correction, every retry, every edit will make products smarter. This is Continual Learning.