I am not so sure about that. There are some product lines that are somewhat OK price/quality e.g. IVAR seems to be OK. But most IKEA products are too much optimized optimized on the cost side for my taste. The good days of "wooden furniture" is over.

There is a base level of quality a certain kind of customer is expecting in a product before considering it to be worthless trash.

Let's stick with the cynical position and assume that the code has to run, at least do what it is supposed to do, some time on Monday, part of the time.

With an 10x amount of output you 10x the amount of failures at constant production quality. Did you put improved processes into place?

Good point re expert systems. I need to look up what actually made them fail, or how they are not scaling.

Have you been working in the space?

That is hilarious! Was it a semi-random discovery due to interaction with the system and people, or did you intentionally looked to game the algorithm?

The question is how well language models have internalized the optimal decision pathway and mitigating strategies to deviating circumstances. What data do they have to be trained on? If an AI defeats the best Go players in the world, surely it is a good question whether they can exceed in games with large unknowns such as business administration.

As mentioned somewhere else in this thread, the moral and ethical layers is where some of the challenges of these system can be found.

At this stage, this seems to be a demo, albeit an interesting one. I find the concept still very intriguing, as it is exactly the thing that attacks white collar functions in administrative and executive tasks sets. I need to give it a spin.

The purchase cost of H100 or B200 systems with comparable VRAM is a one order of magnitude higher. Although I can only guess how much lower the token/sec output of the Mac Studio will be. Probably 2-3 magnitudes lower?

While a cluster has to work with many users simultanously, and is a good investment for a company, perhaps the Mac Studio will be a good use case for a personal larger LLM deployment configuration.

Perhaps someone has the token/sec numbers for larger models running on older Mac Studios?

Is it Software or another problem domain? What problem are they attacking, what stack/method are they using?

Would love to know where this comes from. I am not sure about that. Could you point to data/anecdata?

I hope the other providers will add a geographical limitation on this EU rule.

(On a side note, I wish they would replace those EU beauracts with LLms).

You could use your own hypothetical house elf to do it for you, or pay someone to do it. LLMs are just cheaper for a certain set of problems.

People will find ways to circumvent this, so this limitation will only hit the technically less adept people.

> SOC and piece of test equipment might have it's own control language

OK, so apart from code generation the LLMs are providing language integration and data integration.

But how would you control quality, or make sure the LLms does not create some unwordly control code? I am trying to understand if they are using type checking or any other methodology that keeps the LLM generated code in check.

I am not from the hardware field, but I do understand that we are trying to build deterministic mashines. It is quite mindboggling that we are using statistical models for building the test suite, instead of, say, permutating through all critical input states and testing the output parameters for it.

I am asking because this isnt certainly the only mode of operation for LLMs in testing and quality control, and I would love to get a better understanding how to build such a system.

Can someone with understanding of the process chime in here?

Here is the text snippet from the original korean article. Indeed the information was misrepresented:

"Customer-specific SoC verification work, which Usually takes Over a month, was completed in just two days. A second-year employee completed a USB model development that previously takes a month in a single day".

I also wonder how much political backing a bank needs to offer a service with the implications towards the status of an allied currency as reserve currency status - small as it may be for now.

Did not follow the industry since 2018, but it is quite a feat switching the supply chains to the recombinant version. Good to hear that they managed to do it. I wonder how other Pharma and Medtech players are doing in that regard.

Here is a full disclaimer (from the trenches of startup land): I co-founded and ran a biotech startup that tried to disintermediate that particular supply chain. We even flew to SF to speak to some of the YC chaps, and talked to a strategic buyer. Our technology R&D failed to deliver, unfortunately. And the market is fairly small. But I learned a great deal re that particular business, and a lot of more general lessons. All in all, a crazy run with so many crazy stories, I need to write them down one day.

Horseshoe crabs are truly fascinating animals in respect to their physique, lineage and behaviour. But these things one can read up on Wikipedia.

We had quite a bunch of them in our lab (and living room). They were supposed to be voracious predators to all things they can eat, but ours developed a rather expensive habit in captivity by only eating the most expensive of goods from the local fish market. They would not eat anything else.