Live data from Hacker News

100x defect tolerance: How we solved the yield problem

cerebras.ai

121–130 of 186 posts

Re: 100x defect tolerance: How we solved the yield problem

#121

Earlier quoted context omitted.

it cannot ever get to an AGI level that you'd assume to be competitive to a human, even most animals. Suppose you turn out to be wrong. What would convince you?

It could diagram a sentence it had never seen.

It does that all the time even now. Play with temp, top_k, min_p and nothing is preventing you from getting combinations and order of tokens previously not encountered in history.

Re: 100x defect tolerance: How we solved the yield problem

#122

Earlier quoted context omitted.

Why does their chip have to be rectangular, anyways? Couldn't they cut out a (blocky) circle too?

You need a rectilinear polygon that tessellates, and has the fewest sides possible to minimize the number of cuts necessary. And it would probably help the cutting if the shape is entirely convex, so that cuts can overshoot a bit without damaging anything. That suggests a rectangle is the only possible shape.

If it's just one chip per wafer, why even bother cutting?

Re: 100x defect tolerance: How we solved the yield problem

#124
post #54

Earlier quoted context omitted.

I wonder if you could… just not cut the wafer at all??

I suspect this would cause alignment issues since you could literally rotate it into the wrong position when doing soldering. That said, perhaps they could get away with cutting less and using more.

They already have a notch or flat for alignment, which is much more critical during the lithography process than during soldering.

Re: 100x defect tolerance: How we solved the yield problem

#125

Earlier quoted context omitted.

It's a hype cycle with many of the hypers and deciders having zero idea about what AI actually is and how it works. ChatGPT, while amazing, is at its core a token predictor, it cannot ever get to an AGI level that you'd assume to be competitive to a human, even most animals. And just as every other hype cycle, this one will crash down hard. The crypto crashes were bad enough but at least gamers got some very cheap GP…

> And just as every other hype cycle, this one will crash down hard. Isn't that an inherent problem with pretty much everything nowadays: crypto, blockchain, AI, even the likes of serverless and Kubernetes, or cloud and microservices in general. There's always some hype cycle where the people who are early benefit and a lot of people chasing the hype later lose when the reality of the actual limitations and the real…

Both Kubernetes and serverless (FaaS) is here to stay. Microservices is just an excuse to build shit software.

Re: 100x defect tolerance: How we solved the yield problem

#126

Earlier quoted context omitted.

Why are you assuming bad faith?

What gave you the impression I was assuming bad faith? It's off topic to the discussion (which is fine) but can be annoying in the middle of an HN thread.

You brought it up...

Re: 100x defect tolerance: How we solved the yield problem

#127

Earlier quoted context omitted.

> And just as every other hype cycle, this one will crash down hard. Isn't that an inherent problem with pretty much everything nowadays: crypto, blockchain, AI, even the likes of serverless and Kubernetes, or cloud and microservices in general. There's always some hype cycle where the people who are early benefit and a lot of people chasing the hype later lose when the reality of the actual limitations and the real…

> I don't think the current "AI" is special in any way As someone who loves to pour ice water on AI hype, I have to say: you can't be serious. The current AI tech has opened up paths to develop applications that were impossible just a few years ago. Even if the tech freezes in place, I think it will yield substantial economic value in the coming years. It's very different from crypto, the main use case for which appe…

> The current AI tech has opened up paths to develop applications that were impossible just a few years ago.

My argument is that if it's advertised as a direct precursor to AGI based on wishful thinking and people don't know any better, then it's no different to claims about how putting blockchain technology in X industry will solve all of its problems.

I use LLMs daily and don't scoff at AI generated imagery or use cases like agentic systems, but there absolutely is a similar hype cycle to every other innovation out there where people are borderline delusional in the initial stages (Kubernetes will solve all of our issues, moving to cloud and microservices will solve all of our issues, the blockchain will...), before the limitations crystallize and we know what each technology is good or bad at.

Though maybe that says more about human nature than the technology itself.

> It's very different from crypto, the main use case for which appears to be money laundering.

That's akin to saying "The main use case for AI appears to be stealing people's art and even for writers and others it seems to be firing people to replace them with soulless AI generated slop."

I'd even argue that there's nothing wrong with the technologies themselves, be it LLMs, AI for image, video, audio generation, blockchain and crypto, or whatever. The problems arise based on how the technologies are used, or in my argument above - how they're touted as the solution to all the problems. Some people profit a lot, others collide with reality and their limitations at speed.

In other words, if the technology will generate 100 billion USD of actual value but people are betting on 500 billion USD, then clearly we have a bit of an issue.

Re: 100x defect tolerance: How we solved the yield problem

#128

Earlier quoted context omitted.

> And just as every other hype cycle, this one will crash down hard. Isn't that an inherent problem with pretty much everything nowadays: crypto, blockchain, AI, even the likes of serverless and Kubernetes, or cloud and microservices in general. There's always some hype cycle where the people who are early benefit and a lot of people chasing the hype later lose when the reality of the actual limitations and the real…

Both Kubernetes and serverless (FaaS) is here to stay. Microservices is just an excuse to build shit software.

> Both Kubernetes and serverless (FaaS) is here to stay.

*in environments and projects where they are a good fit

> Microservices is just an excuse to build shit software.

*in environments and projects where they are a bad fit

Re: 100x defect tolerance: How we solved the yield problem

#129
post #96
post #87

Earlier quoted context omitted.

On a tangent: has anyone built an active cooling system which operates in a partial vacuum? At half atmospheric pressure, water boils at around 80 C, which i believe is roughly the operating temperature for a hard-working chip. You could pump water onto the chip, have it vapourise, taking away all that heat, then take the vapour away and condense it at the fan end. This is how heat pipes work, i believe, but heat pip…

No need to bother with a partial vacuum when ethanol boils at around 80 C as well and doesn't destroy electronics. I'm not aware of any active cooling systems utilizing this though.

I could argue that ethanol has 1/3 the latent heat of vaporization of water, and would boil off 3 times quicker. However, what ultimately matters is the rate of heat transfer, so my nitpick may be irrelevant.

Re: 100x defect tolerance: How we solved the yield problem

#130

Earlier quoted context omitted.

Why are you assuming bad faith?

What gave you the impression I was assuming bad faith? It's off topic to the discussion (which is fine) but can be annoying in the middle of an HN thread.

Without offering any opinion on its merits, if you think justifying this controversial claim is off topic, then so is the claim and you shouldn't have written it.
Post reply on HN