
Generative AI MLE, FOSS toolmaker, innovation catalyst @CoreWeave + @AiEleuther. https://xitter.cf/t.co/z0fpuhlWRs
Seattle, WA
Joined November 2013
- Tweets10.2K
- Following1.9K
- Followers4K
- Likes11.3K
Remember: by participating on twitter, you are adding value to it, thereby incentivizing others to join/stay, and amplifying the voice/reach of the people who set its algorithm's biases.
Is this the ideology you want to amplify? Because if you are here, you are amplifying this.
David Marx (@digthatdata.bsky.social) retweeted
'we're in this bizarre world where the best way to learn about llms... is to read papers by chinese companies. i do not think this is a good state of the world' - us labs keeping their architectures and algorithms secret is ultimately hurting ai development in the us.
> Republicans: "We love America! It has the greatest system of governance. Look, I even carry the constitution next to my heart like a little bible :*) "
> Also republicans: "DISMANTLE THE GOVERNMENT! FUCK THE SEPARATION OF POWERS! GOD KING PRESIDENT CULT OF PERSONALITY!"
David Marx (@digthatdata.bsky.social) retweeted
🔥 Are you ever dissatisfied with the imprecise names in vision-language datasets?
🚀 At #NeurIPS2024, we introduce 𝐑𝐄𝐍𝐎𝐕𝐀𝐓𝐄, showing how better segmentation dataset names lead to 𝐛𝐞𝐭𝐭𝐞𝐫 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 & 𝐞𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧.
Let’s dive in! 🧵👇
Yo this paper is wild.
🌟Announcing NeurIPS spotlight paper on the transition from lazy to rich🔦
We reveal through exact gradient flow dynamics how unbalanced initializations promote rapid feature learning
co-led @AllanRaventos
and @ClementineDomi6 @FCHEN_AI @klindt_david @SaxeLab @SuryaGanguli
David Marx (@digthatdata.bsky.social) retweeted
New NanoGPT training speed record: 3.28 FineWeb val loss in 4.66 minutes
Previous record: 5.03 minutes
Changelog:
- FlexAttention blocksize warmup
- hyperparameter tweaks
David Marx (@digthatdata.bsky.social) retweeted
This is officially the new record! Congrats @hi_tysam (who is also an OG of CIFAR-10 speedrunning)
xitter.cf/hi_tysam/status/186085…
David Marx (@digthatdata.bsky.social) retweeted
Is KL-regularization the right tool for language model alignment?
The χPO algorithm: We show that a one-line change to DPO—moving from KL to chi-squared regularization—is sufficient to achieve state-of-the-art theoretical guarantees, provably alleviating over-optimization.
David Marx (@digthatdata.bsky.social) retweeted
Narrative on X: 🦋 has no AI/ML and just talks about itself
My actual feed on 🦋:
David Marx (@digthatdata.bsky.social) retweeted
You can choose what feeds you have on your homepage -- I personally like the "popular with friends" feed (in the above tweet). The default is "following" - which looks like this for me:
David Marx (@digthatdata.bsky.social) retweeted
Because X has tended to censor discussion of social networks I won't link directly, but look for this post to get an instant AI/ML feed thanks to @maosbot
David Marx (@digthatdata.bsky.social) retweeted
We announce LAION-DISCO-12M - a collection of 12 million links to publicly available YouTube samples paired with metadata to support basic machine learning research in foundation models for generic audio and music.
laion.ai/blog/laion-disco-12…






























