Hi, I’m Eric and I work at a big chip company making chips and such! I do math for a job, but it’s cold hard stochastic optimization that makes people who know names like Tychonoff and Sylow weep.

My pfp is Hank Azaria in Heat, but you already knew that.

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Joined 10 months ago
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Cake day: January 22nd, 2024

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  • I remember when several months (a year ago?) when the news got out that gpt-3.5-turbo-papillion-grumpalumpgus could play chess around ~1600 elo. I was skeptical the apparent skill wasn’t just a hacked-on patch to stop folks from clowning on their models on xitter. Like if an LLM had just read the instructions of chess and started playing like a competent player, that would be genuinely impressive. But if what happened is they generated 10^12 synthetic games of chess played by stonk fish and used that to train the model- that ain’t an emergent ability, that’s just brute forcing chess. The fact that larger, open-source models that perform better on other benchmarks, still flail at chess is just a glaring red flag that something funky was going on w/ gpt-3.5-turbo-instruct to drive home the “eMeRgEnCe” narrative. I’d bet decent odds if you played with modified rules, (knights move a one space longer L shape, you cannot move a pawn 2 moves after it last moved, etc), gpt-3.5 would fuckin suck.





  • To grasp how disastrously an apparently altruistic movement has run off course, consider that the value of organizations that provide healthy vegan food within their underserved communities are ignored as an area of funding because EA metrics can’t measure their “effectiveness.” Or how covering the costs of caring for survivors of industrial animal farming in sanctuaries is seen as a bad use of funds. Or how funding an “effective” organization’s expansion into another country encourages colonialist interventions that impose elite institutional structures and sideline community groups whose local histories and situated knowledges are invaluable guides to meaningful action.

    Nice. Kind of reminds me of a segment in Ken Burns’ Vietnam documentary where to eradicate the Viet Kong, American military intelligence organizations became obsessed with body counts as a measure of ‘winning’ the war, so then the effect on the ground became shooting civs so we can count more bodies. The metric you use as a proxy for doing good (I’ve donated x dollars to combat homelessness while working for blackrock :)) isn’t aligned with your desired outcome.

    Hey, wait a minute, were EAs the misaligned entity all along??

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  • Yes, the classical algo achieves perfect accuracy and is way faster. There is also a table that shows the cost of running o1 is enormous. Like comically bad. Boil a small ocean bad. We’ll just 10x the size and it will achieve 15 steps inshallah.

    Imo, this is like the same behavior we see on math problems. More steps it takes, the higher the chance it just decoheres completely. I can’t see any reason why this type of thing would just “click” for the models if they are also unable to do multiplication.

    I mean this just reeks of pure hopium from OAI and co that things will magykly work out. (But the newer model is clearly better^{tm}! I still don’t see any indication that one day that chart is just going to be 100s across the board.)