Iolaum

He didn't say cash, he said assets.

Also funny enough - AAPL is siting on 62B$ cash according to google search.

If only those who are intended to oversee the proper use of those powers could take offense at this misuse ...

It's not gonna happen but:

> Despite that complexity, much of the variation in performance is explained by just a single variable: model size.

please release model size :p

They will not come. You can only spend so much time speaking on the phone.

But if you get unlimited tokens, with scheduled/automated jobs and subagents you will burn a LOT of money.

I used to be surprised in Sci Fi novels with mentions like programmer archaeologist. Makes much more sense now :p

Give me 5B $ in tokens and I 'll work something out :p

US wants to ban non us models from as many places as possible. This move enables them to get users in more places.

It may make it harder but does that make it a blocker in the age of AI?

In the age of RSI, is it really beyond our capabilities to evolve a particular LLM architecture, harness and inference engine towards a place where we can get that understanding?

I m afraid it's more a matter of prioritization. "Good enough" understanding brings as much money as "better" understanding.

Indeed, I m surprised how little attention qwen-3.8.-flash-next seems to be getting while it's so well fitted for 128gb unified machines.

Curious if GrapheneOS phones were also vulnerable to this.

Wild guess even if not in this particular case it's best to consider the possibility as non theoretical.

Companies buying those machines need years to get their money back. If they didn't believe they would make a good ROI they wouldn't buy as much.

You are forgetting how powerful aligned incentives are. If their interests align, they will find a way to reach an agreement.

> actually have to pay taxes

Interested in recommendations of politically stable countries where companies can't practice tax avoidance.

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LLM's have already trained on similar enough code