Chris Paxton

This is a nothing claim then. Who cares? Those are the kind of papers that literally no one reads.

How much of this is because social science research is terrible though

thank GOD, these emp grenades have been taking up inventory space my entire playthrough

oh no

A strong guy

Classic big company move

Lots of core team members of Alibaba Qwen are resigning publicly on X.

The gaping hole that Qwen imploding would leave in the open research ecosystem will be hard to fill. The small models are irreplaceable.

I’ll do my best to keep carrying that torch. Every bit matters.

Max Schwarzer @max_a_schwa...• 1h X l've decided to leave OpenAl. I'm incredibly proud of all the work I've been part of here, from helping create the reasoning paradigm with @MillionInt, scaling up test-time compute with @polynoamial, working on RL algorithms with my fellow strawberries, shipping 01-preview (which started life as of one of my derisking runs), to post-training 01 and 03 with @ericmitchellai, @yanndubs and many others. I'm most proud of having led the post-training team here for the last year -- the team has done incredible work and shipped some really smart models, including GPT-5, 5.1, 5.2, and 5.3-Codex. OpenAl has genuinely some of the most talented researchers I have ever met, and I have learned more than I could have imagined knowing since I joined as a new grad. I want to thank @markchen90 @FidjiSimo @sama @merettm for all their support over my time here, and too many collaborators to name for the insights, ideas, and just plain fun we have had working together. After leading post-training for a year, though, I'm longing to start fresh and return to IC research work. I've been thinking about going back to technical research for quite some time, and I genuinely believe my colleagues and team here are set up to succeed going forward without me.

I'm personally very excited for my next chapter -- I'm proud to be joining @AnthropicAI to get back into the weeds in RL research, and I'm looking forward supporting my friends there at this important time. Many of people I most trust and respect have joined Anthropic over the last couple of years, and I'm excited to work with them again. I have also been very impressed with Anthropic's talent, research taste and values, and I'm excited to be part of what the company does next!

OpenAI’s head of post-training is leaving for Anthropic (oai is known for post-training, among the big labs)

If there's a "permanent underclass" it's not having written enough on the open web to be immortalized in the weights.

A humanoid robot that actually looks like an industrial machine. Launching in 18 months from Noble Machines

Well, I can't exactly argue with that

Archax is building a large pilotable robot for heavy labor

half power armor, half sentry bot

"pilot-optional"

Like Severian climbing into Sidero in Urth of the New Sun

'you have no right in me!'

Capabilities keep increasing and costs keep falling. Very good for accessibility of AI models.

I saw this; hope they were able to find better roles

Tsubame Heavy Industries is building the Archax, a 4.5 meter tall pilot-optional humanoid robot for heavy labor: tsubame-hi.com/en/the-archax/

ah, OpenAI is entirely stopping DoW deployment for now

that was not clear to me from sama’s post. also, i’m very glad to see Noam getting directly involved in policy. i realize he’s just a researcher, but it’s great to have important people deeply invested in this

Department of Intensive Combat Operations

Academics Need to Wake Up on AI Ten theses for folks who haven't noticed the ground shifting under their feet

Sorry, Bluesky, but I have to say it: AI can already do social science research better than most professors with PhDs. And, for the first time in my life, I really have no idea what happens in five years.

Things are changing already, we just need to wake up.

i have nothing to add to this but it generates funny replies

OmniExtreme from BIGAI: a general-purpose tracking policy which works with extreme motions and complex contacts. Works by pre-training a general-purpose flow policy, then learning an actuation-aware residual policy for handling complex physical dynamics.

I do think this is just them goofing off, the military versions are less colorful and way scarier

Drone and dog shooting fireworks at each other

Video from 阿阳 / Shenzhen media group

Xiaomi humanoids with self tapping nuts. 90% success rate, 3 hour deployment, using tactile

Next on RoboPapers: VLam4VLA -- what makes a vision language model good for robotics

Now let me design the plan with a Plan agent. [...] Excellent analysis from the Plan agent.

claude giving claude a medal never gets old

"bullshit bench but for people"

Alibaba Qwen remain the champions of open-source ai

Qwen releases 4 new Qwen3.5 Small models!

Qwen3.5: 0.8B • 2B • 4B • 9B

Run Qwen3.5-0.8B, 2B and 4B on your phone. Run 9B on 6GB RAM.

The vision reasoning LLMs perform better than models 4x their size.

GGUFs: huggingface.co/collections/...
Guide: unsloth.ai/docs/models/...