thatguysaguy

> 3B active

> built for sovereign mission-critical work in regulated areas including public administration, industrials and aerospace

Cool to be doing more independent model lineages, but I sure hope no one actually uses this as part of any aerospace engineering...

part of it did. I was just replying to the question about why they would ever push the model to evade monitoring. surely that's an eval thing not a training thing.

presumably that's a safety evaluation not a training setting

Scott's parenting posts are some of his best

The contrast between the example screenshots and the standard internet behavior in the live demo is hilarious

The python overhead of launching big ML jobs is nontrivial, so I think speeding that up would be meaningful. (I mean the initial tracing and other setup, not things once the GPUs are actually doing the work).

It looks like people in this thread are confusing fleet utilization and MFU. If they're doing a lot of RL, it's really not surprising to see such low numbers.

That's b/c the people working on Gemini serving are in GDM.

What sort of workloads are you thinking of?

What is up with people saying you cannot prove a negative? Of course you can! (At least in formal settings)

For example it's extremely easy to prove there is no square with diagonals of different lengths. I'm the hard end, Andrew Wiles proved Fermat's Last Theorem which expresses a negative.

That's just a nit though, you're right about the infinite regress problem.

Ah dang. When I did this I also thought the length bug was intentional but I didn't figure it out before I started my new job, so I dropped the puzzle.

Maybe I missed something, but I see little evidence that there is a concerning ability to deanonymize. Many people post under a pseudonym but then link to their GitHub etc. In fact by construction the HN dataset _only_ consists of people who are comfortable with their real identity being linked to it.

The real question is whether someone who is pseudonymous and actually attempting to remain so can be deanonymized.

You can just try other svgs, I got some pretty good ones.

(*Disclaimer: I work for Google, but also I have zero idea about what they trained deepthink on)

TPUs predate LLMs by a long time. They were already being used for all the other internal ML work needed for search, youtube, etc.

I'm actually not talking about whether the PR works or was tested. Let's just assume it was bug-free and worked as advertised. I would say that even in that situation, they should not accept the PR. The reason is that no one is the owner of that code. None of the maintainers will want to dedicate some of their volunteer time to owning your code/the AIs code, and the AI itself can't become the owner of the code in any meaningful way. (At least not without some very involved engineering work on building a harness, and since that's still a research-level project, it's clearly something which should be discussed at the project level, not just assumed).