39 points gmays 1 hour ago 13 comments

FLeXMurphy 53 minutes ago | parent

What is the library, if any, used for the equation/formula rendering? Looks tastefully done.

freecodeio 47 minutes ago | parent

> The mathematics on this page is being rendered by MathJax, which generates both the text spoken by screen readers, as well as the visual layout for sighted users.

FLeXMurphy 45 minutes ago | parent

Lovely. Thank you.

domelian 22 minutes ago | parent

also very curious, visualization is great!

NickNaraghi 32 minutes ago | parent

> reasoning as pathfinding through token space

Sounds like it's hillclimbing all the way down!

Cool framing. I'm excited for the parallel construction of ___ as pathfinding through weight space.

dogscatstrees 23 minutes ago | parent

Wang's argument contradicts the view that intelligence necessarily improves through more reasoning and undermines any assumption that recursive self-improvement (RSI) will automatically converge toward greater intelligence.

jrflo 18 minutes ago | parent

Content aside, that's a beautiful webiste

avereveard 13 minutes ago | parent

Normalizes user voice to goal so the action has more chances to success you can see this on model that dont hide traces sending very badly spelled or incomplete sentences

vova_hn2 12 minutes ago | parent

I'm pretty sure that the current approach of baking in chain-of-thought reasoning into weights is not the end of the line. It just seems to accidental and ad-hoc.

P. S. The animated bird is truly magical!

akavi 7 minutes ago | parent

My understanding of the math is weak (to say the least), but intuitively what I'm getting from this is:

1) Pretraining creates a bias _towards_ "correct answers" with each inference step

2) A longer walk is more likely to land in the correct region, given it's easier to verify you have the correct answer than to create it

3) RL selects the subset of walks that lands in the correct region and tilts the distribution in favor of such walks

4) By 2, that trains towards longer walks

...Is that correct?

derefr 6 minutes ago | parent

Same reason the human brain has a train of thought: there's a lot of stuff you "know" as episodic memories of words you've heard/read, but haven't yet internalized via practice into reflex reactions. It's a lot faster and cheaper to acquire a memory of some words, than it is to acquire an entire new skill, so you end up with far more memories-of-words than concrete skills.

Reasoning (i.e. bubbling those remembered words up into your mental context, and then using a special "reacting to words" bridging reflex on them) is how you leverage memories-of-words into useful behavior.

An especially useful version of this is planning, where you chain through "mere words" until you end up at words that declare to yourself what you're about to do; and then you rely on your bridging reflex to react in a way that's constrained by the plan you generated.