Week 46 · November 9–15, 2026

People are talking

What researchers, labs and projects in our four lanes are posting on X, from the last three days. Hottest and newest first; promos, hiring posts, giveaways and event plugs are filtered out.

58 posts from 28 accounts · last 3 days · updated Fri Nov 13, 2026 · 9:19 AM CT

DeepSeek@deepseek_ai AI

🚀 The full DeepSeek App experience, now via API Search, files, links, safety, and voice. The capabilities behind the DeepSeek App are now available through the DeepSeek API. Enable built-in features with a few parameters, or call standalone APIs such as OCR, ASR, and TTS. Build

Google DeepMind@GoogleDeepMind AI

Meet Gemini 4 Hydrogen: built for rapid coding, multimodal synthesis, and everyday workflows. It finishes tasks 2.5x faster than 3.8 Flash and surpasses Argon on the @ArtificialAnlys Intelligence Index.

Google DeepMind@GoogleDeepMind AI

Accurate weather forecasting starts with how clearly we can observe the atmosphere in real-time. 🌍 That’s why we’re releasing PARDIG and SatWeave - the foundational datasets behind WeatherNext 3 - to help researchers and developers build new climate applications 🧵

Qwen@Alibaba_Qwen AI

Qwen4 is coming. Deeper knowledge. Richer world understanding. Stronger coding and agentic capabilities. Built for real-world tasks — from complex coding and knowledge work to front-end builds and professional software workflows. Qwen4-Max is now in preview on Alibaba’s Token

Fei-Fei Li@drfeifei Robots

Atlas is now available to everyone!! I’m very excited to see what users can build with our newest world model! 🤩🌎

We’re opening up access to Atlas to everyone today. We’ve built apps and API endpoints to help you use Atlas any way you can imagine: bring your ideas for building a 3D world and come away with keyframes, video clips, or 3D Gaussian splats. https://t.co/Y9vhcrwbWu
Steven Strogatz@stevenstrogatz Math & Physics

Just received this in the mail today: The Welch Labs - Illustrated Guide to AI". What an astonishing, gorgeous work of art! Bravo, Stephen Welch and team!

Google DeepMind@GoogleDeepMind AI

Your heart, brain, and immune system share the same DNA sequence. So how can a single-letter change affect disease in some cells, while sparing the rest? AlphaGenome 2 is our new AI model that zooms in on specific cells to help scientists understand what drives disease. 🧵

Google DeepMind@GoogleDeepMind AI

For the first time, AI has mathematically proven @signalapp’s protocol is secure down to the code level. Using our breakthrough AlphaProof Code framework, we verified the messaging app’s cryptographic system – which protects billions of private messages every day.

Sebastian Raschka@rasbt AI

Hoping Nemotron keeps going. Thankfully, open weight LLMs have some alternatives. But their open data and full training recipes would be much harder to replace.

vLLM@vllm_project AI

We optimized DeepSeek-V4.1-Flash on vLLM for Vera Rubin NVL72 and reached 58× the throughput of GB300 NVL72 at 1.7 million tokens/s/GPU and 387 tokens/s/user on SemiAnalysis AgentX. Across the curve: 🔹 2.52 million tokens/s/GPU at peak throughput (2.7× GB300) 🔹 1.7 million

Nathan Lambert@natolambert AI

Sending support to all my Nvidia friends today, especially at Nemotron and HuggingFace. I hope your work comes back even stronger after a transition period. It’s absolutely crucial.

Chelsea Finn@chelseabfinn Robots

Can robots approach human-speed manipulation? Teleop yields slower data, while UMI tracking degrades with higher speeds. Flash ALOHA has people directly guide the robot, yielding fast data with accurate tracking. Paper, code, hardware: johnyao93.github.io/flash-aloha

Introducing ⚡️Flash ALOHA: Learning Fast and Precise Manipulation! With just 50 demonstrations, Flash ALOHA learns to autonomously complete dynamic and precise tasks at near human speed. Everything open sourced! (1/11) Team: @Qi_Wu577 @YihuaiGao @chelseabfinn @zipengfu https://t.
LeRobot@LeRobotHF Robots

Run big policies on a remote GPU ⚡🤖 Your robot keeps moving while the GPU thinks. New in LeRobot 0.7: the robot computer runs cameras, motors and recording, and a policy server on a GPU machine predicts the next chunk of actions. An action buffer asks for the next chunk

François Chollet@fchollet AI

Conversational AI is going to transform education and deliver personalized tutoring at scale. But we have to build it right. Most current AI tools in education optimize for the wrong thing: getting the answer. But the point of homework is not the output, it's learning to think

We’ve raised $51 million to rethink how kids learn with AI. Our bet: conversational learning. Language isn’t just how we communicate. It’s how we think. That’s the idea behind Gakku, our AI learning coach. The learning process itself is the product—not something to automate away.
Sebastian Raschka@rasbt AI

LLM training is hard. Hard to be a jack of all trades.

im surprised there isnt more pretrain-postrain codesign i guess companies really do ship their org charts
Jim Fan@DrJimFan Robots

Introducing GR00T 2: our most advanced, open System One model for robotics. It runs entirely on your robot’s onboard compute, fully untethered, and you own every weight of it. GR00T 2 features: 1. Long-horizon tasks: dexterous manipulation and whole-body control chained over

Jim Fan@DrJimFan Robots

Autonomous, uncut, 1x speed. This is GR00T 2 controlling real dexterous hands to perform a chemistry lab experiment (and clean up after itself) end to end. Episode 1 of a new series! I’ll keep dropping real-time robot videos, with none of the “4x” or “8x” labels you usually see

Introducing GR00T 2: our most advanced, open System One model for robotics. It runs entirely on your robot’s onboard compute, fully untethered, and you own every weight of it. GR00T 2 features: 1. Long-horizon tasks: dexterous manipulation and whole-body control chained over http
Google Research@GoogleResearch AI

Today on the blog we introduce an investigational ML framework that translates passive wearable signals into a modifiable coachable health age, uses an action-conditioned world model to simulate personalized 12-week "what-if" habit trajectories, & expands to routine blood

vLLM@vllm_project AI

🎉 Day-0 support for @thinkymachines’ Inkling-2-Small in vLLM! A 500B MoE with text + image inputs and text output. Bring the image into the conversation: ask a question with visual context, and get a text response from the same model. Under the hood: a new ViT image encoder,

Inkling 2 Small’s weights are now available for download on HuggingFace under an Apache 2.0 license. Make Inkling your own! https://t.co/KS5zd97XSd
Ken Goldberg@Ken_Goldberg Robots

Thank you Junfan, @tianyurobot, @letian_fu, all speakers, attendees, and organizers of the first Workshop on AR — it won’t be the last! agentic-robotics-workshop.github.io

CoRL Agentic Robotics Workshop was absolutely FULL. Thank you all for making our @corl_conf Agentic Robotics Workshop one of the hottest rooms at CoRL 2026! Agentic Robotics is taking off. 🤖🚀 @Ken_Goldberg @GuanyaShi @HaoruXue https://t.co/Vqk5MH9FfX
Sebastian Raschka@rasbt AI

In reasoning model development, it's always been this interesting tension between training/optimizing chain-of-thoughts (CoTs) vs not touching them to preserve monitorability. CoTs are cool because we can check what the model is up to (e.g., whether it cheats or not) as long as

(1/10) Today, we’re sharing new research from @OpenAI: How does CoT monitorability (no-CoT capability and CoT controllability) evolve over the model training lifecycle? We emerged with unsurprising but sobering findings: as we scale toward more intelligent systems, models are htt
Google DeepMind@GoogleDeepMind AI

Start building with Gemini 4 Carbon: our strongest model for complex, long-horizon tasks. It’s designed to explore problems thoroughly and run extended verification loops across software engineering, cybersecurity, knowledge work, and science.

Steven Strogatz@stevenstrogatz Math & Physics

With the rise of AI, this skill is more important than ever. I highly recommend this new book from @PrincetonUPress. As I wrote on the back, "Sharon Marcus knows what it takes to give a good talk, and she comes straight at you with it. She is as clear as she wants you to be."

Chris Paxton@chris_j_paxton Robots

I am pretty disappointed in Jensen as a person but this is indisputable. NVIDIA has been a champion of open research and open models, yes because it financially aligns with their interests (selling GPUs), but having a prominent champion in Jensen has been fantastic

Jensen no longer being CEO would be very very bad for the open model cause in the US.
Sebastian Raschka@rasbt AI

Currently working towards a bigger open LLM roundup. But in the meantime, just one of the interesting trends that stood out. I.e., looks like the transition from full to hybrid attention continues. In 2025, there were still lots of full attention models, with a shift to "some

LeRobot@LeRobotHF Robots

Five new VLAs in LeRobot 0.7. The zoo keeps growing 🤖 - G0.5 from @GalaxeaDynamics: a 2B VLA that writes its subtask, then its actions, in one stream. Works with /subtask and /autosteer - LingBot-VLA 2.0 from @robbyant_brain: one model across embodiments (55-D action space,

Mistral AI@MistralAI AI

What does real-time transcription look like in a live setting? 🎙 We used Voxtral Transcribe 3 at AI Engineer Paris to capture every main-stage talk in real time. We boosted accuracy with context biasing, feeding the model speaker names and technical terms from the conference

PyTorch@PyTorch AI

Fast kernels, without the tuning wait: Helion's new compile-time heuristics automatically choose high-performance configurations, with no autotuning required. On H100 benchmarks, they beat handwritten Triton kernels for linear-attention forward passes by 18% and vLLM's

Chris Paxton@chris_j_paxton Robots

Imitation learning plateaus with more data. Additional benefit of collecting more data stops improving performance -- hence, Kay was convinced they needed reinforcement learning.

Quanta Magazine@QuantaMagazine Math & Physics

Done arguing over which type of molecule got life started, a new wave of researchers are deconstructing what life is, does, and could be — and are even trying to create it themselves. Read @yasemin_sap's feature on a new era for the research into the origins of life:

PennyLane@PennyLaneAI Math & Physics

We launched PennyLane in 2018 to empower scientists and developers everywhere to build meaningful quantum algorithms. Today, it is one of the most utilized quantum software platforms. Thanks to everyone who has joined us on the journey so far. As we celebrate PennyLane’s 8th

PyTorch@PyTorch AI

vLLM relies heavily on PyTorch, with frequent calls to LibTorch in its C++ backend. As a result, changes to LibTorch’s binary interface may require vLLM to be rebuilt and relinked, even when the APIs remain unchanged. What if we could update LibTorch without rebuilding vLLM?

vLLM × PyTorch: with the LibTorch Stable ABI, new PyTorch releases no longer force a vLLM rebuild 📷 Users upgrade sooner, distributors rebuild less, devs test torch changes without recompiling vLLM. Read the migration story: https://t.co/bRhb5zK8Ez
Chris Paxton@chris_j_paxton Robots

ChatGPT required RL, it was not pure imitation learning or dagger; reasoning models also required RL. Obviously the same will be true of robotics, the question is just if base models are good enough

pendulum has fully swung back from where it was last year (“scale up data collection, behavior clone large models”). everyone is finally seeing the shining light of RL! https://t.co/ygTwbIvX4G
Sebastian Raschka@rasbt AI

Hillclimbing: Make the model better (best intentions). Benchmarking: Measure how much better (best effort). Benchmaxxing: Make the numbers look better (best optics).

We gotta have a conversation about hill climbing vs benchmarking vs benchmaxxing
Chris Paxton@chris_j_paxton Robots

So many great world models out there for you to try

Today, we’re making Praxis-1 available to everyone. Our state-of-the-art world action model turns video pretraining into control for real robots, and it ships with open weights under Apache 2.0, ready to run and fine-tune on your own hardware. https://t.co/jL5ZmpY6x9
LeRobot@LeRobotHF Robots

Praxis-1: an open-weight world action model for real robots 🤖 New from @runwayml and now in LeRobot. Praxis-1 learns how objects behave and how tasks unfold from large-scale video, which gives it a head start on a new robot. One checkpoint adapts with light fine-tuning or

Microsoft Research@MSFTResearch AI

New research from Microsoft Research demonstrates that reprogramming just a few dormant neurons in an AI agent can create a backdoor that leaves the agent behaving normally until it hits a specific trigger. While the specifics of this threat are novel, the mitigation is not: