← All source episodes Machine Learning Street Talk / episode intelligence
The Thermodynamic AI Computing Chip - Thomas Ahle
28 Jun 2026 15 published claims 2 attributable people
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evaluation 6belief 4commitment 2uncertainty 1prediction 1preference 1
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15 published records
“Like, if we actually had some hypothetical real time adaptive divergent Claude, you know, would it be much better than the Claude that we already have? And, it's also related to the to the work that you guys do, because, the process of intelligence, in my view, is the creation of these coarse grainings, skills.”
- Publisher
- Machine Learning Street Talk
“I think for a lot of this stuff, we're relying on the hope of some kind of escape velocity from code complexity that the models are gonna keep improving faster than our code gets messed up.”
- Publisher
- Machine Learning Street Talk
“I saw just yesterday, I think maybe also Anthropic opened up some that you could use some more, just like the SDK you can use with your accounts.”
- Publisher
- Machine Learning Street Talk
“Still people have been able to innovate. But on the other hand, I think also hardware is getting easier and easier to make with these kind of AI for EDA tools.”
- Publisher
- Machine Learning Street Talk
“I don't know if you call it that. It's more like they took the classic test search engine and they replaced the evaluation function with a neural net, but like kind of a very shallow wide neural net that they can, that is really, really fast to evaluate.”
- Publisher
- Machine Learning Street Talk
“I think there are other examples later on that nearly bankrupted some of these companies like TinyBucks that managed to make it through to the to the fab and it's yeah, it's it's a really different world again from software where we just, know, people fix stuff in prod, you just move fast and and break things.”
- Publisher
- Machine Learning Street Talk
“Right? And it's a serious problem, because it's all about epistemic subjectivity, which is that you generate things that you don't understand, and it convinces you that it's correct, and you can't see the glitches.”
- Publisher
- Machine Learning Street Talk
“Exactly. But to your point, every single step of the way, we're using the toolbox.”
- Publisher
- Machine Learning Street Talk
“Like in the past if if I wrote something and ask you to read it, you could at least have assumed that I would have spent 10 times more times writing it than you reading it.”
- Publisher
- Machine Learning Street Talk
“Because there is some kind of a combinational closure, and that means from the primitives in an LLM, can do hill climbing, and we can build some computational structure to solve problems.”
- Publisher
- Machine Learning Street Talk
“Because as you say, like, we're we're we're building the AI and then the AI is helping us build better kernels, better software, better hardware, which then in turn makes the AI better and then, you know, you get this this kind of loop.”
- Publisher
- Machine Learning Street Talk
“Like are you when you do reinforcement learning, I mean the chain of thought before the reinforcement learning and after reinforcement learning I think is very different because before it was kind of you try and prompt it and some tricks they kind of work and kind of doesn't work.”
- Publisher
- Machine Learning Street Talk
“Just for those licenses. And I think actually that's 1 of the reasons also why AI still is not as popular in the hardware space because they haven't been able to train like the models are not as trained to this kind of workloads because they just, it's not feasible.”
- Publisher
- Machine Learning Street Talk
“I mean that kind of maybe takes a little bit of the point out of the probability. But then you could also just, but then it's funny because you have these chips and like the chip manufacturers, they spend so much time like getting out every single little piece of noise out of their systems and like having these extremely sharp margins for everything like so much you know, precision is probably like the most precise business in the world.”
- Publisher
- Machine Learning Street Talk
“Sometimes I think about it as the lovable for chip design. So we take it all the way from your intent through the design, through optimizing your design, to formalizing and verifying your design, all the way to tape out.”
- Publisher
- Machine Learning Street Talk