OpenAI's Jalapeño chip posts first measured numbers — 1.5–1.9× more AI work per watt and 1.7–3.6× lower end-to-end latency
OpenAI published first-party benchmark numbers for Jalapeño: 1.5–1.9× more AI work per watt, 1.7–3.6× lower end-to-end latency. Vendor-tested, not independent.
Moonshot AI releases Kimi K3 — a 2.8T open-weights MoE model with million-token context
Kimi K3 is a 2.8T-parameter open-weights MoE model built on Kimi Delta Attention and Attention Residuals, with 1M-token context and native vision. Weights to follow by July 27.