
Nathan Lambert
11.1K posts

Nathan Lambert
@natolambert
Research @allen_ai, reasoning, open models, RL(VR/HF)... Contact via email. Writes @interconnectsai, @readsail Wrote The RLHF Book, 🏔️🏃♂️
Seattle Katılım Aralık 2014
901 Takip Edilen86.8K Takipçiler
Sabitlenmiş Tweet

I heard people needed clarification that my book was a post-training book posttrainingbook.com
English

@niloofar_mire I’m working hard to try and have a little bit of light try to break through the clouds
English

Tbh i’m kinda sick of this academic doomerism vibe consuming all of bay area and the self-aggrandizing pov that frontier labs have. Sure a lot of exciting stuff is happening but we wouldn’t be where we are wo academia & there is sth to be said about the pursuit of curiosity.
will depue@willdepue
academics are unprepared for the coming world where much scientific progress is majorly a function of inference compute. whether OpenAI points the Eye of Stargate at your particular field will decide its acceleration. talent will leach away into the labs. it's already begun
English

@xdotli to be honest I almost clicked to look at your code but went back to watching f1
English

@natolambert you should buy agenticrlbook.com too just in case
English

I heard people needed clarification that my book was a post-training book posttrainingbook.com
English

Something that's squashed in this is that other things impact the evolution of AI than just the few labs with mega compute.
There are many social dynamics, policy, diffusion, etc and there's a substantial unaddressed opportunity for impact here. Open science/models one way.
Aidan Clark@_aidan_clark_
If you want to work on pretraining-for-AGI, join OpenAI, Google, Meta or the Anthropic/XAI/Cursor supergroup. The bitter truth of the widening compute gap is that all the problems which are actually on the critical path to AGI now demand that level of compute.
English

@willdepue Tradition doesn't show that these labs are particularly open and actually doing science these days, culture takes a very long time to change.
English

@natolambert i'm confused how we'd end up in a world where labs can make large technical progress in academic fields but are limited by communicating them. that seems like the easy part, comparatively. writing the paper is easier than producing the result & verifying it?
English

@eliebakouch @code_star honestly i dont really recommend writing it, it was good to take the notes and study the fundamentals, but I think you need to be willing to really push through a lot of people telling you not to do it to consider actually writing it up
English

@aaronbatilo by listening to many things ive said or reading the book
English

@natolambert @alexolegimas @liujc1998 @natolambert fyi i am not stealing any credit. I have already attributed it to infinigram in the substack as well as mentioned creativity index and olmo trace several times on X after :)
English

This from @TuhinChakr is brilliant. That prize winning story from Granta? Turns out it's just a bunch of random whole phrases taken directly from existing text on the internet. Tool allows you to trace those n-grams directly to their source, which is mostly random fanfiction.
tuhinchakrabarty.substack.com/p/ai-slop-gran…

English
Nathan Lambert retweetledi

One of the admirable things about the way DeepSeek executed was gradually building credibility, never getting ahead of their skis and having to rush to meet some high external expectation.
Western neolabs have not learnt the lesson, and instead set expectations so high to begin with that they deprive themselves of room to iterate in public - frightened that their first release won’t clear the bar.
Optimising for growth is a better strategy than building for a “big bang” release. Progress is proportional to your toleration for embarrassment. And all beautiful things are multiplicative where work compounds, and where expectations follow you instead of getting ahead of you.
English

@niloofar_mire @saurabh_shah2 Sg, adding to my next sf visit list! Trying to come more frequently now.
English

@natolambert Aw tyyy Nathan!! My watch agrees lol
Come to sf and visit us!! Cc @saurabh_shah2 lol

English

@DomaOrut @reflection_ai Yes, a big knock “mild mannered and positive”. I just want open models to actually work and exist and not be a branding credit
English

@natolambert @reflection_ai not a knock against you, but you're usually so mild-mannered and positive that seeing a dunk like this is saying something about these guys lol
English

@reflection_ai i want y'all to succeed but it's a little self-serving to say "America's open source AI lab" having released nothing
English








