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mckirk

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Iroh 1.0 1 month ago

_Every_ agent? I surely hope not. But it would be an interesting... artisocial experiment?

1D Chess 3 months ago

Damnit, I am pretty sure I had a few-year-streak going until just now. Welp, off to the grind again, I suppose.

Along these lines: I really like the 'Climate Reanalyzer' project by the Climate Change Institute at the University of Maine [1]. There's so much good stuff there if you click around a bit; you can create custom plots for the surface temperature of different regions for example[2], which quickly shows you that Western Europe has actually warmed a lot more than the global average, and we're closer to +2°C already in that region.

[1] https://climatereanalyzer.org/clim/sst_daily/?dm_id=world2 [2]: https://climatereanalyzer.org/research_tools/monthly_tseries...

If writing goes the way music seems to be going with Angine de Poitrine gaining a huge following as a kind of allergic reaction of people against the 'AI sameness'... then we could be in for a wild ride.

On the other hand, music is primarily an art form and writing (nowadays) is primarily utilitarian I would contend, so maybe the analogy doesn't quite hold up.

I have to admit, the movements and interactions looked so uncannily natural that my intuitive suspicion was that this might be another instance of a 'fake it till you make it' demo, and the robot was actually controlled by a person. Though if this is real, that's of course some of the highest praise they could hope for.

GPT-5.4 5 months ago

I think what that research found is that _auto-generated_ agent instructions made results slightly worse, but human-written ones made them slightly better, presumably because anything the model could auto-generate, it could also find out in-context.

But especially for conventions that would be difficult to pick up on in-context, these instruction files absolutely make sense. (Though it might be worth it to split them into multiple sub-files the model only reads when it needs that specific workflow.)

GLM-4.7-Flash 6 months ago

Note that this is the Flash variant, which is only 31B parameters in total.

And yet, in terms of coding performance (at least as measured by SWE-Bench Verified), it seems to be roughly on par with o3/GPT-5 mini, which would be pretty impressive if it translated to real-world usage, for something you can realistically run at home.

For me, these books are in the rare category of 'wait I didn't know it was allowed to come up with a story _this good_'. I envy all those that have yet to read it for the first time.

Unfortunately proving anything about a concrete imperative implementation is orders of magnitude more complex than working with an abstraction, because you have to deal with pesky 'reality' and truly take care of every possible edge-case, so it only makes sense for the most critical applications. And sometimes there just isn't a framework to do even that, depending on your use case, and you'd have to sit down a PhD student for a while to build it. And even then you're still working with an abstraction of some kind, since you have to assume some kind of CPU architecture etc.

It really is more difficult to work with 'concrete implementations' to a degree that's fairly unintuitive if you haven't seen it first-hand.

I generally do this via a `throw UnsupportedValueError(value)`, where the exception constructor only accepts a `never`. That way I have both a compile time check as well as an error at runtime, if anything weird happens and there's an unexpected value.

This reads cool and all, but I also can't help help but feel like it might not have been as much of a 'gotcha' as the text makes it out to be. Who knows what kind of information the Russians got from this episode. The closer the NATO response is to what would actually happen in a combat scenario, the more valuable such a provocation is to them, I suspect.

You either give them the option to search the web for facts or you ask them things where the utility/validity of the answer is defined by you (e.g. 'summarize the following text...') instead of the external world.

What would be your intuition as to which 'quality' of the LLMs this tournament then actually measures? Could we still use it as a proxy for a kind of intelligence, since they need to compensate for the fact that they are not really built to do well in a game like poker?