Walker Bytes
@wb_bitsbytes
Charting new territories in digital realms!
“AI is not distinct from humanity, but rather is a recent addition to a mutually interdependent superhuman entity we are all already part of.” It’s like humanity is building an external genome as a storehouse of common knowledge. nature.com/articles/d4158…
Poured days into this poster, but it didn't get seen much, so I’m posting it here to give it a better home 🌟. #NeurIPS2025 If it’s up your alley, take a peek! 💛
🧠Model-Based RL shows promises but has seen limited success in real-world robotics. 🌎Introducing Robotic World Model, a black-box end-to-end neural dynamics model that bridges this gap, where policies are trained purely in imagination. @NeurIPSConf 🎯sites.google.com/view/roboticwo…
Interested increased adaptivity and longer term memory in SSMs? Come by our poster #3412 today @ 4:30pm! "Bridging Expressivity and Scalability with Adaptive Unitary SSMs" Poster: neurips.cc/virtual/2025/l… Paper: arxiv.org/abs/2507.05238
NEURIPS! I just arrived! Check out our group's papers and find me + my students to talk science! - CryoBoltz ❄️⚡️: Multiscale guidance of protein structure prediction with heterogeneous cryo-EM data @rishwanth_raghu arxiv.org/abs/2506.04490 - ChefNMR 🧑🍳⚛️: Atomic Diffusion…
We are in the midst of a transformation phase We are knee-deep in a transformation, not with a bang, but with a quiet click and a subtle scroll. AI isn’t just reshaping the world, it’s reshaping us: how we think, what we value, even how we speak. And the strangest part? It’s…
ComfyUI-Mesh2Motion Bring another popular open-source projects into ComfyUI, today it’s Mesh2Motion, from @scottpetrovic often called the open-source alternative to Mixamo. I spent some time integrating it into ComfyUI. It supports opening Mesh2Motion directly within ComfyUI,…
Will computers ever match or surpass human-level intelligence — and, if so, how? go.nature.com/48kv5rM
In our clinical trial, participants with geographic atrophy experienced something previously thought impossible: meaningful restoration of central vision. Learn more about our PRIMA retinal implant here: science.xyz/technologies/p…
Congrats to the great #NeurIPS best paper (arxiv.org/pdf/2505.17638) on memorization in diffusion models. But note: producing non-memorized samples is not the same as generalization in the sense of learning structure or rules. Understanding generalization in DMs remains open.
Robots need to be able to apply pressure and make contact with objects as needed in order to accomplish their tasks. From compliance to working safely around humans to whole-body manipulation of heavy objects, combining force and position control can dramatically expand the…
🚨 Looking for a primer on the latest advances in joint neural-behavioral modeling? 🤩 Check out our new Nature Reviews Neuroscience piece! It was really an honor to write this 🫶 nature.com/articles/s4158…
A statistical framework quantifies single-cell batch variation and recovers meaningful biological signals go.nature.com/4hZnzW5 rdcu.be/eRy6o
Measuring Agents in Production @melissapan et al. investigate how AI agents are built and deployed across 26 industries, finding that 73% aim to boost productivity through automation while relying on simple, controllable methods over complex autonomy. 📝 arxiv.org/abs/2512.04123
Congratulations @JesseJenkins , Camus, @Google @tylerhnorris on a fantastic paper! Great framing from @JigarShahDC
LLM token prices are collapsing fast, and the collapse is steepest at the top end. The least "intelligent" models get about 9× cheaper per year, mid-tier models drop about 40× per year, and the most capable models fall about 900× per year. Was same with "Moore’s Law, the best…
Check out our #NeurIPS2025 paper Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models Friday, afternoon poster session, Poster #212 Paper: latent-planning.github.io Joint work w/ @vlad_is_ai, Wancong Zhang, @kchonyc @randall_balestr @ylecun
What is the best way to train a general agent using offline state action trajectories without reward annotations? We test methods ranging from RL to optimal control, and find that planning with a latent dynamics model (PLDM) is a strong candidate. latent-planning.github.io
A key dream of interpretability is building lie detectors. My team spent 6+ months on a project in this area, but unfortunately ran into a lot of issues... Our position piece describes why this was so hard, key problems future work must tackle, and advice for future researchers
can we detect when an AI system is being strategically deceptive without relying on behavioural evidence? we, on the GDM mechanistic interpretability team, spent many months working on this problem in our new position piece, we share what we learned:
MLX-LM has extreme alpha. It’s a unified inference and training framework that works across MLX and CUDA and constantly gets new features without losing modularity. It will only get better.
The latest mlx-lm is out and it has continuous batching with mlx_lm.server! Added by @angeloskath Check-out the video of 4 simultaneous requests running with Qwen3 30B on the same M2 Ultra:
💡 With data center power becoming more constrained each year and the ever-growing importance of energy efficiency, we are committed to meeting this challenge. 🔋 With the new NVIDIA Power Profiles, conquer power constraints on your AI and HPC workloads and deliver up to 15%…
Excited to share our #NeurIPS2025 work: NuCLR, a framework for learning neuron-level representations 🧠 These embeddings capture the biological identity of neurons and work out-of-the-box on new animals; no finetuning needed 💃 This offers some of the first evidence that…
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