this post was submitted on 23 Sep 2024
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Big brain tech dude got yet another clueless take over at HackerNews etc? Here's the place to vent. Orange site, VC foolishness, all welcome.

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[–] BigMuffin69@awful.systems 0 points 1 month ago (1 children)

Was salivating all weekend waiting for this to drop, from Subbarao Kambhampati's group:

Ladies and gentlemen, we have achieved block stacking abilities. It is a straight shot from here to cold fusion! ... unfortunately, there is a minor caveat:

Looks like performance drops like a rock as number of steps required increases...

[–] self@awful.systems 0 points 1 month ago (1 children)

correct me if I’m reading this wrong — the results are that LLMs are much, much worse than classical AI at planning block placement for SHRDLU? that seems pretty damning

[–] BigMuffin69@awful.systems 0 points 1 month ago* (last edited 1 month ago) (1 children)

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.)

[–] blakestacey@awful.systems 1 points 1 month ago

Large Reasoning Models

May the coiners of this jargon step on Lego until the end of days