I don't really know what I'm talking about (whether about graphic cards or in AI inference), but if someone figures out how to cut the compute needed for AI inference significantly then I'd guess the demand for graphic cards would suddenly drop?

Given how young and volatile this domain still is, it doesn't seem unreasonable to be wary of it. Big players (google, openai and the likes) are probably pouring tons of money into trying to do exactly that

As possible mitigation, they mention "The browser should distinguish between user instructions and website content". I don't see how this can be achieved in a reliable way with LLMs tbh. You can add fancy instructions (e.g., "You MUST NOT...") and delimiters (e.g., "<non_trusted>") and fine-tune the LLM but this is not reliable, since instructions and data are processed in the same context and in the same way. There are 100s of examples out there. The only reliable countermeasures are outside the LLMs but they restrain agent autonomy.

Idk that doesn’t sound so dubious to me. ∅ might be more approachable for the PHDs then set() ;)

Yepp it continues the gathering of more and better data.

Ai is not a hype. We have started to actually do something with all the data and this process will not stop soon.

Aline the RL what is now happening through human feedback alone (thumbs up/down) is massive.

Not sure how Google is winning AI, at least from the sophisticated consumer's perspective. Their AI overviews are often comically wrong. Sure, they may have Good APIs for their AI, and good technical quality for their AIs, but for the general user, their most common AI presentation is woefully bad.