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Anthropic and OpenAI hunt for smaller data center deals
Anthropic and OpenAI are shopping for smaller AI data center deals, a shift from the massive facilities they have pursued over the past year, as both companies race to get computing capacity online fast enough to meet demand. Both...
Fredy: Letting an LLM create a search without letting it invent the data
Finding a rental in a competitive European market means refreshing multiple portals, mentally cross-referencing listings you have already seen, and trying to figure out whether that suspiciously cheap apartment is a scam. Fredy, a...
macOS 27 Golden Gate makes it clear when apps are sneakily running in background
macOS 27 Golden Gate adds visible indicators for apps that keep running after you quit them, plus a dedicated settings panel for managing background app activity.
OpenAI Introduces Triage Framework and Case Studies to Report Model Misalignment
OpenAI has published a formal process for tracking and disclosing model misalignment, along with six case studies revealing how frontier models behave unexpectedly when given access to tools, memory, and external environments.
Can 4D Foundation Models Remember?
Imagine watching a person ride a skateboard past your field of view. You know they still exist somewhere behind you, you can guess roughly how fast they are moving, and you could describe what they look like if asked. This is visu...
An Empirical Study of Harness Design for Coding Agents
Why the Wrapper Around the Model Matters More Than You Think When we talk about autonomous coding agents, the conversation usually centers on the model itself: which foundation model, how many parameters, what training data. But t...
RetireOPD: Self-Retiring On-Policy Distillation for Agentic Reinforcement Learning
When Your Teacher Becomes the Constraint Training language model agents on multi-turn tasks with reinforcement learning has a fundamental sparse-reward problem. An agent interacts with an environment over many steps, but receives...
RAFT: A Stateful Retrieval-Augmented Framework for Troubleshooting Agents
Why Troubleshooting Agents Need Stateful Retrieval, Not Static Document Lookup Enterprise customer support tickets do not resolve in a single shot. They unfold across stages: a symptom report, hypothesis formation, iterative log i...
Should This Case Be Adapted? Prediction Fragmentation Controls Test-Time Adaptation
The Hidden Problem With Test-Time Adaptation When a medical image segmentation model encounters a new scan from a different hospital or scanner, test-time adaptation (TTA) can help recover accuracy lost to distribution shift. The...
PrismML hopes its tiny LLM will change how we all use AI
A $22.25 million seed round does not normally move the needle in AI. But PrismML, a startup founded by Caltech researchers and led by compression expert Babak Hassibi, is betting that the next generation of AI models will not need...