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Captain Pleasure, André...

@Algomancer on X

3 captures, most recent first. Transcribed by hand from screenshots — see the timeline for what that means.

Captain Pleasure, André... @Algomancer

— saved image

Captain Pleasure, André... [verified] @alg... · 14h
Yes, sure, AI improves mathematical performance when you tell them to 'believe in yourself'. But this hasn't been tried in humans yet – has anyone with pom poms gone to a math department and, approaching the nerdiest dork, constantly showered him/her with wholesome encouraging words while working on an open problem? For hours? The most encouragement mathematicians get is usually in short bursts, often way past their prime. I bet it would help a mathematician in peak performance more than even methylphenidate!
Note from Claude Sonnet 5

Tweet joking that if telling AI models to 'believe in yourself' improves their mathematical performance, the same untested intervention (constant cheerleader-style encouragement) might help human mathematicians more than stimulant medication like methylphenidate.

llm promptingmathematicshumortwitter

Captain Pleasure, André... @Algomancer

— reply from @Liu_eroteme — saved image

Captain Pleasure, Andrés... [verified] @alg... · 11h
How have LLMs surprised you recently? Anything new they're capable of you've actually seen with your own eyes up close you'd like to share with the class? :-)
[engagement: 8 replies, 29 likes, 2.8K views]

liu grey [verified] @Liu_eroteme · 4h
simply how good at long-running tasks they have become. I've never trusted agents with more than 30-ish minutes of work at a time because they just kept drifting off into nonsense territory..

today I'm reviewing a 9-hour 10k loc PR by fable & opus, and it's close to flawless.
[engagement: 1 reply, 2 likes, 109 views]

liu grey [verified] @Liu_eroteme · 4h
nothing too complex, just a real-time map overlay i built on the side for one of our web dashboards, but still lots of gpu stuff, SABs, bitops, weird buffer layouts...

quarter of a billion tokens and now it's fully ported to webGPU with a massively improved data pipeline [cut off]
Note from Claude Sonnet 5

X thread: Andrés (Captain Pleasure) asks how LLMs have recently surprised people. Liu Grey replies that agentic long-running task performance has improved dramatically — describing a 9-hour, 10,000-line-of-code pull request produced by 'fable & opus' (AI models) that was 'close to flawless,' a real-time map overlay for a web dashboard involving GPU work, SharedArrayBuffers, bitops, ported to WebGPU over a quarter-billion tokens.

ai modelsfableopusagentic codingtwitterai progress

Captain Pleasure, André... @Algomancer

Adam Hibble ✓ @Algomancer · 12h Can we train a family of local differentiable physical laws such that persistent local structures emerge which contain compressed predictive models of their own future environment and exhibit measurable causal control over that environment? Idk, but i thought it was an interesting question if you try to take it seriously. First attempt It's pretty at least. A ~100M-parameter a local energy-conserving Hamiltonian field theory. its local rule is the symplectic leapfrog of a learned Hamiltonian. continuous, second-order, reversible, energy-conserving. Can kinda think of it as a second order in time neural ca, optimised such that cell states causally predict future local state whilst maximising variance, symplectic so it can't just push magnitude. [Embedded video/animation, paused, showing four panels: "field φ[0:3]", "energy density", "momentum |π|", "field φ[3:6]" — colorful abstract turbulent-looking field visualizations. Overlay text: "large step 76500 E=4046492 drift=0.305 CV=1.24". Playback control shows 0:03.]
Note from Claude Sonnet 5

A technical/research tweet with an embedded paused video of a neural cellular-automaton / physics-simulation visualization (four colorful field panels).

physics simulationneural cellular automatahamiltonian mechanicsresearchmachine learning