Combatting Anti-Blackness in the AI Community: In this work, we aim to elucidate the scale and scope of anti-Black bias in the AI community and provide concrete steps to mitigate this bias and build a more just community. devinguillory.com/files/AI_A…

Gradient descent does not work. I will die on this hill.

When people share a space, their movements become intertwined. Embodied agents need to understand these social dynamics to interact effectively. Introducing MAGNet 🧲, a unified autoregressive diffusion forcing model for multi-agent motion generation that captures these interactions. MAGNet is flexible: predict the future, fill in missing motion, or have people react to each other, all while naturally scaling to N>2 people and generating ultra-long motion sequences.

"A man from Chu who sold shields and spears boasted, 'My shield is so strong that nothing can pierce it. My spear is so sharp that there is no object it cannot pierce.' Someone asked him, 'Would you like to be in Forbes?'" - Han Feizi (c. 240 BC)

Well there is part of what the DoD Anthropic was about. Based on the contract language around analyzing bulk commercial data and deanonymizing it matches with this data discussion: Since 2021 the Pentagons DIA has been purchasing anonymized and harvested geolocation data that’s used in advertising, arguing it’s not “spying” since it’s commercial. They’ve now realized AI is strong enough to take this bulk data and de-anonymize it accurately. Anthropic deemed that spying on Americans. OpenAI doesn’t.

I’m the CEO of a hot dog company. I’ve worked on hot dogs for 10 years. And *I* wasn’t prepared for what I’ve just seen. Your life is about to change. So what can you do? Buy as many hot dogs as you can. Buy stock in hot dog companies.

Ring paid somewhere between $8 and $10 million for a 30-second Super Bowl spot to tell 120 million viewers that their cameras now scan neighborhoods using AI. The math is wild. Ring has roughly 20 million devices in American homes. Search Party is enabled by default. The opt-out rate on default settings in consumer tech is historically around 5%. So approximately 19 million cameras are now running AI pattern matching on anything that moves past your front door. Today the target is dogs. The same infrastructure already handles “Familiar Faces,” which builds biometric profiles of every person your camera sees, whether they know about it or not. Ring settled with the FTC for $5.8 million after employees had unrestricted access to customers’ bedroom and bathroom footage for years. They’re now partnered with Flock Safety, which routes footage to local law enforcement. ICE has accessed Flock data through local police departments acting as intermediaries. Senator Markey’s investigation found Ring’s privacy protections only apply to device owners. If you’re a neighbor, a delivery driver, a passerby, you have no rights and no recourse. This tells you everything about Amazon’s actual product. The customer paid for the camera. The customer pays the electricity. The customer pays the $3.99/month subscription. And Amazon gets a surveillance grid that would cost tens of billions to build from scratch, with an AI layer activated by default, and a law enforcement pipeline already connected. They wrapped all of that in a lost puppy commercial because that’s the only version of this story anyone would willingly opt into.

This exchange should be studied. If you thought filter bubbles were bad, meet this!

🌟NEW PAPER🌟 Do you know that changing a visual marker from red to blue can completely reorder VLM leaderboards? In our most recent work, we explore the fragility of visually prompted benchmarks. lisadunlap.github.io/vpbench…

RT @hyphy_republic: As others have noted, during a disaster with a consequent power outage, Waymos would be blocking evacuation routes. Har…

Researchers consider themselves very successful if they win one test-of-time award (and one is more than enough). Ross @inkynumbers has been winning them nonstop over the past year: CVPR 2024, ICCV 2025, and now NeurIPS 2025, because winning just one was too easy for him! Having known him for many years (first as a climbing partner and then as a colleague), I can’t say I’m surprised. When he sets his mind to something, he perfects it, whether it is making the best vision model, climbing a 5.12d, or continuing the sally-up sally-down push-up challenge until the rest of the team gives up. And to all his collaborators who only worked with him remotely and didn’t get to see him in person every day: you missed out. He is fun to work with but he is even more fun in person. I'm attaching the proof below. I have some true gem videos of his goofy side that I won’t share (saving them for when I need to blackmail him), but here is a photo of Ross pretending to be a lizard under our office sun lamp. Congratulations to Ross and all his co-authors. #NeurIPS2025

Neurips fomo is too strong!

starting fall 2026 i'll be an assistant professor at @Penn 🥳 my lab will develop scalable models/theories of human behavior, focused on memory and perception currently recruiting PhD students in psychology, neuroscience, & computer science! reach out if you're interested😊

LMAOOOO this dataset has been the gold standard for a decade

Not an opportunity to miss!!

I am recruiting Ph.D. students at @umdcs starting Fall 2026! I am looking for students in three broad areas: (1) Physics-integrated computer vision (2) VLMs with constraints (2) Dual-use AI policy We're ranked #3 in AI on @CSrankings! Specific details in 🧵

Terrible things are happening outside.

Did anyone else know that AI could surveil students and send automatic messages to police with no warning or protections. This child almost lost his life

Congratulations to BAIR Researchers from @trevordarrell lab whose paper "Hidden in plain sight: VLMs overlook their visual representations," was awarded an Outstanding Paper Award at #COLM2025 this week in Montreal, Canada. @xkungfu @tylerraye @databoydg

Main idea: VLMs underperform their visual encoders on vision tasks. We diagnose this failure present evaluations for future investigations into visual understanding in VLMs. Paper📄: arxiv.org/abs/2506.08008 Blog🌐: hidden-plain-sight.github.io Code💻: github.com/stephanie-fu/hidd… (2/3)