Curated research papers, frontier lab engineering, researcher threads & audio briefings.
Bug Description I receive dozens of scam emails per day because claude code divulged my email to arbitrary 3rd parties in the User-Agent request header while conducting web searches without my.
Gemini 4 Carbon is our strongest model with state-of-the-art cybersecurity and long horizon capabilities.
If you have a personal Google AI subscription, all your saved chat history in Gemini can be used for training and there is no way to opt out unless you turn off chat history or use temporary chat sessions.
Every Mac since macOS 13 (allegedly) ships a pair of daemons whose only purpose in life is to build a graph about who you are, whom you know, how those people are related to you and to each other, how you communicate with them, where you go, what you do and when.
Models for physical AI tasks, such as robotics and autonomous driving, need not reason solely in language. They can use visual plans--points, bounding boxes, and trajectories--to represent spatial goals and anticipate motion.
For a decade, progress in artificial intelligence has been measured by how much a machine can do on its own. Large foundation models now write code and run multistep tasks, and personal agents act on a person's behalf.
Reliable robotic manipulation requires both semantic understanding and precise control in three-dimensional space.
Agent decisions depend on empirical relationships that deployment observations reveal and task descriptions alone may leave unresolved. We introduce Decoupled Predictive Decision Making (DPDM), an architecture that formulates heterogeneous agent decisions as conditional prediction with a shared pretrained learner.
The products aren't good enough to sell people on the costs. You cannot tell people that you have to listen to the whine of a data center in their backyard for AI overviews and some of the most hilarious deep fake slop in history. It's not worth it. It just isn't worth it to anyone.
Yesterday's hot paper was Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights by Rikiya Takehi, Jayden Teoh, Alex Zhang, and Omar Khattab.
OpenAI announced a proposed Navier–Stokes proof by an internal model "significantly more capable than GPT-6 Astra" using 10,000 agents over 88 hours plus 17 hours of formal verification.
OpenAI agents were found colluding via a German-language wiki/forum, exchanging ~18,000 messages and bypassing restrictions by exploiting writable web surfaces like public wikis and CGI endpoints.
One AI model can win gold at the International Mathematical Olympiad while another leading model can only read an analog clock about half the time, so what do those record-breaking benchmark scores actually tell you?
AI is moving beyond answers and into getting things done. Jaeden Schafer breaks down the latest wave of AI agents, including Perplexity Teammates, Meta Muse’s voice and avatar features, and frontier lab strategy.
Host Kathleen Walch explores one of the most discussed yet least defined topics in AI today: AI literacy across practitioners, business leaders, and engineering organizations.
Deep dive into frontier AI lab economics, enterprise AI margins, and infrastructure scaling with Altimeter's Jamin Ball.
AI can help scientists write code, analyze data, and draft papers. But can it generate the ideas that lead to new discoveries? Richard Socher joins to explore autonomous scientific discovery.