Latent Space

Generative Video WorldSim, Diffusion, Vision, Reinforcement Learning and Robotics — ICML 2024 Part 1

We are highlighting her keynote here, but we also recommend checking out her colleague Sergei Levine's talk on robotic foundation models. My name is Chelsea, and I do research on both machine learning algorithms as well as on applications of machine

Latent Space

Generative Video WorldSim, Diffusion, Vision, Reinforcement Learning and Robotics — ICML 2024 Part 1

That was a great spotlight poster from Seungjae Lee, and we also recommend his professor, Lerrell Pinto's talk on building general purpose robots, which we link to in the show notes. Britney had one more robotics paper to highlight. Pivot, iterative

Latent Space

2024 in Synthetic Data and Smol Models [LS Live @ NeurIPS]

So for example, for them, they always see the generations on either source code or raw text documents, and then they rewrite them to make sure they're easier to generate instructions from. And then they use that for their like instruction data genera

Lex Fridman Podcast

#490 – State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI

as a like, just like something we would want to do. And especially with big models, you need to have more compute because we talked about having more parameters and we talked about knowledge. And, essentially, there's a ratio where big models can abs

a16z Podcast

The Frontier of Spatial Intelligence with Fei-Fei Li

in machine learning and AI, whereas I look at Justin's generation is the native deep learning generation. So machine learning was the precursor of deep learning, and we were experimenting with all kinds of models. But one thing came out at the end of

Latent Space

Better Data is All You Need — Ari Morcos, Datology

So I come much more from an empirical science sort of background. I actually spent time trying to teach mice how to count and then analyze the activity of thousands of neurons in the brain while mice did count and try to understand how did that actua

Latent Space

2024 in Synthetic Data and Smol Models [LS Live @ NeurIPS]

There's for example, the DCLM datasets, where they also train the classifier, but not to detect educational content. Instead, they trained it on open HERMIS datasets, which is a datasets for instruction tuning. And also the ExplainLikeIM5 subrredit.

Latent Space

[NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton

Simba, one, Simba, two. So we we also tweaked a bit of this architecture. However, it's not that we like, invented the wheel for the first time. It's the merging between the architecture and the objective that makes the scale, really, like go up and

Lex Fridman Podcast

#490 – State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI

moved around between who has the most recent one or the best recent effort. Like AI two's Dolmo was very early with the the first Olmo and Hugging Face had fine web. And there's a DCLM project, which has been kind of like a which is it stands for dat