AI agents using 92 sandbox workers and over 700 million tokens submitted five improved bounds for OpenAI's integer multiplication result, while reducing the Sidorenko residual constant and finding a new van der Waerden coefficient. While highlighting AI's growing capability in mathematics, the work required human guidance and scaling agents did not yield linear acceleration.
Amazon founder Jeff Bezos stated that AI-driven productivity could drastically reduce the need for standard working hours, potentially allowing households to thrive on a single income or fewer days of work.
Microsoft has released AesCode-8B and AesCode-32B models, which generate structured, editable HTML/CSS visual artifacts like slides and dashboards by combining prompt adherence with aesthetic reference images. The models bridge the gap between image generators and code models using graph-structured supervision and decoupled cross-modal rewards.
The high-end $5,899 model of Microsoft's Surface Laptop Ultra featuring 128GB of memory and an Nvidia RTX Spark chip has sold out ahead of its October 16 launch, driven by strong demand for local AI hardware.
Ukrainian drone strikes on Yandex data hubs in Russia shut down a major data center, damaged two AI supercomputers, and caused widespread disruptions to Yandex Cloud and digital services while causing Russian bot traffic to plummet.
At a New York City Council inquiry on proposed AI safety legislation, Anthropic confirmed its models write code to help build their own successors, a practice OpenAI and Google declined to comment on. The testimony occurred as city lawmakers weigh a bill that would fine companies $25,000 for deploying unvalidated AI models without a human-operated shutdown mechanism.
Satya Nadella stated that organizations must implement human-controlled emergency brakes and treat frontier AI models as insider threats from the start. He emphasized that security permissions must be enforced externally with tamper-proof logs to ensure proper verification and accountability.
Researchers from East China Normal University and Fudan University demonstrate that tokenizer-free byte language models, when trained with token-superposition and hash embeddings, consistently outperform traditional subword Transformers as model size and training data scale, particularly on fine-grained perception tasks.
Users on the r/OpenAI subreddit discuss potential applications of artificial intelligence to analyze vocal patterns in dogs, aiming to improve human-canine communication following recent advances in automated mathematics.
Goodfire researcher Eric Bigelow joins the show to investigate how large language models arrive at decisions at the level of mechanistic interpretability. Drawing on his research into forking paths,…
A lot of people in AI treat evolution as a dumb fallback, basically random search for when you can't take a gradient. Akarsh Kumar thinks that is wrong. Selection hangs on to partial solutions, so…
From the Bitter Lesson of AI scaling to the unsolved mysteries of protein folding, Google DeepMind’s Pushmeet Kohli and Biohub’s Sal Candido are rethinking what it takes to build AI that truly…
Is the future of frontier AI open or closed? ReflectionAI co-founder and CEO Misha Laskin joins Sarah Guo and Elad Gil to discuss the launch of Beam, the company’s 500 billion parameter open-weight…
Nathan Labenz reports back from The Curve conference, sharing off-the-record insights from frontier lab leaders on shortened timelines and whether humanity is approaching an intelligence threshold it…
OutSystems CEO Woodson Martin joins Nathan to discuss how enterprise software can evolve at AI speed without breaking critical operations. Martin explains how an intermediate layer of abstract…