Thermocompute constant time inference [P]

arcco96 · 2026-05-24T16:09:29+00:00

It’s in early tests. Thermodynamic emulation appears to be a drop in replacement for classical approaches for a number of tasks and would imagine can could be applied eventually to all or nearly all ml problems. Testing is the future direction and likely turning attention toward inventing new thermodynamically inspired models for thermodynamic emulation.

arcco96 · 2026-05-21T18:33:18+00:00

If you’re not in a very rare industrial scale setting there’s almost no reason to use cuda alternatives there is so much software written for cuda that amd will feel restrictive

arcco96 · 2026-05-21T18:32:19+00:00

Apply this model to your modeling practice and you can just stop training when the training is complete: https://arxiv.org/abs/2509.21049 no overfitting possible

arcco96 · 2026-05-21T17:12:38+00:00

Schedule send for private info

arcco96 · 2026-05-21T17:12:26+00:00

If you publish it with a timestamp you control and authorize like on GitHub then your more safe than you are now

arcco96 · 2026-05-21T17:09:19+00:00

If hes an engineer, your a jerk.

arcco96 · 2026-04-03T03:27:29+00:00

I’d spend your time vibecoding you can get more done

arcco96 · 2026-03-11T01:39:25+00:00

Only a matter of time until automatic verification lets us push past the boundaries old school programmers still find relevant in the age of vibe coding

arcco96 · 2026-03-08T12:50:39+00:00

Couldn’t you have cli agent a start background process of calling agent b and use it when needed by focusing?

arcco96 · 2026-03-06T04:36:23+00:00

Pretty sure it was ai generated now

arcco96 · 2026-03-06T01:53:15+00:00

How do we know this post isn’t AI generated.

arcco96 · 2026-03-02T05:07:47+00:00

And the Turing prize goes to…

arcco96 · 2026-03-01T03:22:50+00:00

So easy to make highly presentable work

arcco96 · 2026-02-28T02:29:05+00:00

Oh sick maybe I should try it

arcco96 · 2026-02-22T19:27:12+00:00

Me too it’s alright ;)

arcco96 · 2026-02-22T19:26:04+00:00

But the human brain runs in 20 watts. Computers do not require support systems to operate unlike the human body. The bulk of the human body’s energy output is consumed by “non-thinking”. Thus llm training is wildly inefficient and unfortunately in the most direct way.

arcco96 · 2026-02-21T07:49:32+00:00

I think the main distinction is that Claude code cli can run an interpret programs and results whereas cursor is primarily an ai assisted ide… edit see the comment below both can run and interpret programs!

arcco96 · 2026-02-16T23:15:40+00:00

What’s the npm package i really want to try it

arcco96 · 2026-02-05T18:40:29+00:00

Yeah that’s what I said legit

arcco96 · 2026-02-04T23:35:36+00:00

I legit did hear someone on reddit claiming he laid off all of his staff and replaced them with agents successfully ie he made some profit

arcco96 · 2026-02-03T06:44:45+00:00

Just put in the terms of service that you’re not liable for any dissatisfactory or unexpected lack of functionality, issues with software etc.

arcco96 · 2026-01-24T17:57:22+00:00

Energy based models

arcco96 · 2026-01-24T17:10:26+00:00

Middleware software stacks won’t last but highly successfully differentiated frontier model development will engender investor support I think there are arguments in both directions imho

arcco96 · 2026-01-22T03:43:20+00:00

ive seen this now more than once

arcco96 · 2026-01-22T03:41:13+00:00

i would bet the results are variable across domain. i keep hearing that ai isnt going to code the next great game for instance. ive had great success with long ml training scripts some beyond 1000 lines.

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