SSD is also soldered for little performance advantage.

You say "little" but the actual numbers seem to point to none. There are M.2 NVMe SSDs that are faster than Apple's soldered ones.

It might give great financial performance advantage though.

Wouldn't something like this also work: https://en.wikipedia.org/wiki/Elias_omega_coding I've used to great effect for compression

does everyone who gets photographed by a satellite get an "absolute right" to destroy the satellite then? Bit of a slippery glidy no-fun slope

When those photographs are used to commit acts of war, yeah

> How can you make it illegal for the business to get a loan?

That would also be legal. But if you take the assets out of the daughter company you would go to prison for https://web.archive.org/web/20141030194421/http://www.sfo.go...

The daughter company would presumable be allowed to purchase goods and services. What prevents those goods and services from being supplied (at a hefty markup) by another company under PE control?

If it's done for the purpose of defrauding debtors of the daughter company, the law

Impressive chip but picked benchmarks where 256 core chips score the same as 128 core (Vera itself has 88 cores)

The LLMs are not even that good at law. I have a license agreement that I wanted to turn into General Terms and Conditions and they kept failing or rewriting the whole thing from scratch when a competent lawyer would just do a few pinpoint changes

I found the opposite to be true. Did you use a legal specific plugin?

No, just Cline with Qwen 3.5 35B A3B.

I was thinking it's highly confidential (contract!) but thinking about it again I'll just publish the T&Cs so it didn't make sense to protect it.

I like it that you can play the way you want. And some are definitely not easier than the classics. Try Kingdom Come Deliverance (1 or 2) with the "do not kill anyone" achievement

Even if he did so what? It doesn't say "never use AI".

4-5 years for GPU being outdated is a bit ... outdated. 3090 from 2020 still get sold for more than the release price

Oh I am not talking about the cards becoming obsolete, that is a concern, but the main issue is that GPUs fail in large numbers after a few years in datacenters.

That is mostly because they are run 24/7 at the peak of their thermal envelopes and eventually components fail.

There is also a significant amount of accounting fraud happening right now, according to Michael Burry: https://x.com/michaeljburry/status/1987918650104283372?lang=...

The comments to his tweet, if true, tend to say that the real lifespan of an AI chip tends to be around 1 to 3 years in reality, since racks don't cool down that well. Not sure if these commenters are a reliable source though lol. https://x.com/xdire_me/status/1987920424978837711

Yeah, but this is partly due to there being a shortage of entry level GPUs for consumers. NVIDIA has literally stopped manufacturing them.

There are massive numbers of data centre GPUs sitting in hyperscaler warehouses waiting to be deployed in a data centre. They may never be deployed because there’s more GPU than DC space and you want your most efficient GPUs in the active slots.

RTX A6000 or A100 from 2020 also sells for more than the release price

1. We are talking about datacenter GPUs here, not consumer ones.

2. Datacenters are currently extremely power-limited. Efficiency is king.

> I go back and forth a bit to see if its proposals are better than mine

I find it useful to let it generate benchmarks comparing the approaches. Turns out AI is terrible at guessing whats faster or allocates less

I had the exact experience yesterday.

I have a performance problem and went down the path of optimising part of a pipeline that when benchmarked was not the bottleneck, even if it looked plausible for me and the llm. When I asked it to make a final benchmark for documentation I found most of the work I did improved 30% while another path would have improved a magnitude more.

Thankfully iteration is now faster than ever and given how fast it creates tests, previous tests created for the aborted optimisation were helpful.

> Turns out AI is terrible at guessing whats faster or allocates less

s/AI/a human being/ would work equally well, lol.

Jokes aside, I do like the approach of letting the AI build something deterministic and make decisions based on that.

Yup, just like people!