hooloovoo_zoo

In my experience students will just keep using the old name (sometimes even the name before the old name) in perpetuity. With regard to the new campus, satellite campuses never carry the prestige of the mothership, for schools or companies.

I feel the fact that these models always modify the body design of a pelican to fit the bike rather than the other way around represents a fundamental issue with AI.

I’d be much more interested in particulate pollution limits for tires.

I suspect LotR is a singularly unrepresentative choice here considering how much info exists about it.

Anything morality-related is going to be subjective, but I think there are just too many practical problems with LLMs as coauthors. For me, in a scientific context 'chatgpt' is too vague, and I think it would be logically inconsistent to have LLMs as coauthors and not other forms of Monte Carlo. I also think LLMs are just too mechanical to be ascribed 'people words' (in the same way I don't consider my automated coffee machine a barista).

Tool-assisted proofs typically already get a description of the tool usage. Even if one wanted to start giving authorship credit to llms, they’re too non-atomic (did it have web search, which mcp?, etc.)

Doesn’t seem like much value-add beyond pointing Claude code at org mode.

Except the Waymo can do 150 mph bumper to bumper with other Waymos if you let them.

Mm, the code is constrained to run inside a game 'tick'?

They also have to replace 20%+ of their satellite network every year.

They are training the model to 1. Produce code (as opposed to answer a question, write a poem, etc.) 2. Produce long enough output to be a valid solution. So they are doing exactly what I said. Cheers.

One sentence summary: We fine-tuned a general-purpose model to produce valid benchmark code results and it got better at producing benchmark code results; we didn't bother to evaluate it on anything the model used to be good at.

Proposition: Every power user feature added lowers Anthropic’s market cap $1B and OpenAI’s $10B.

If you ask the agent a product question you can trigger it into web search mode where it provides web links and autocomplete suggestions. You can follow the a/c suggestions down some pretty elaborate chains of questions but eventually it hits a rate limit and reverts to the default dumb bot.

Well, they seem to be using 3rd party LLMs for websearch.

Traffic for his game has declined by 90% from its peak already though.

That would be an interesting paper actually; what is the optimal sampling technique given you only have access to the token outputs. Surely someone has already done it.

Sampling repeatedly gives them an estimate of the probability distribution in any case though.

Looks kinda like an egg carton to me. So if an empty egg carton weighs 50g, that's like saying you could stack 500kg on top. Pretty impressive.

Huh thanks that works but that’s not how silent mode is supposed to function. Still a bug imo.

Don’t seem to get any sound on iPhone 16 even after clicking :(

> Why do you think that the 2024 Putnam programs that they used to test were in the training data?

They reference https://artofproblemsolving.com/community/c13_contest_collec... for the source of their scrape and the Putnam problems are on that page under 'Undergraduate Contests'.

For one thing, it's not a real score; they judged the results themselves and Putnam judges are notoriously tough. There was not a single 8 on the problem they claim partial credit for (or any partial credit above a 2) amongst the top 500 humans. https://kskedlaya.org/putnam-archive/putnam2024stats.html.

For another thing, the 2024 Putnam problems are in their RL data.

Also, it's very unclear how these competitions consisting of problems designed to have clear-cut answers and be solved by (well-prepared) humans in an hour will translate to anything else.

These $ figures based on compute credits or the investor's own hardware seem pretty sketchy.

My read is that they are describing functionality for site owners to provide input about what the site owner thinks should happen. OpenAI is not promising that is what WILL happen, even in the narrow context of that specific bot.

Your link does not say they will obey it.

It's just a new era in the ad-block wars where my ad-block LLM tries to excise the ads from their ad-generating LLM.

Meta already bought all openAI’s secrets; now it just needs to let the GPUs cook.

Maybe popsicle stick funny 'It was burnt out with being a rock-star'.

Yes but you can also instantly advance to the state of that person’s former company’s research state which cost them way more than 250M.