Reward AI's OM-1 is a general-purpose robot policy trained only on human demonstrations, running across arms and humanoids ...

Sakana AI's PC-ALM adds per-layer Lagrange multipliers to predictive coding, matching backprop and training 1000-layer networks locally.

I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so. Anthropic is ...

claude plugin eval scores realistic prompts with 6 grader types; 4 are free, llm and baseline bill a judge model. Every case ...

Meta FAIR's AI Research Preference Models rank unexecuted ML candidates, raising AIRS-Bench from 0.684 to 0.729 without ...

Princeton, Ant Group and Stanford built AQuA, two self-improving quant research agents whose sealed sandbox makes data leakage unwritable ...

Meta engineering team introduced ZGateway, a proxy tier that now sits between client applications and ZippyDB, the Meta's most widely used key value store.

Long-horizon agents have turned LLM serving into an input-heavy workload. Repeated prefills and million-token contexts leave KV caches that strain HBM, SSD capacity, and bandwidth. DeepSeek AI built ...

AI weather models have spent three years closing the gap with physics-based forecasting, but two problems stayed open: resolution too coarse for local terrain, and initialization tied to numerical ...

OpenBMB has released MiniCPM5-2B, the second checkpoint in the MiniCPM5 series and the follow-up to MiniCPM5-1B. It is a dense causal language model with 2,516,756,480 parameters, of which ...

Google introduces EnvHarness, a programmable layer that reshapes static LLM agent environments without modifying their code.

Most developers treat prompting as an afterthought—write something reasonable, observe the output, and iterate if needed. That approach works until reliability becomes critical. As LLMs move into ...