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"exact phrase" the words together, in this order-word leave out stories with the wordtopic:robotics a topic by ID or name; quote names with spaces: topic:"open-weight models"category:"AI agents" a categorycompany:openai a company, person, product or organization (also entity:)source:forbes.com a publisher by site or nametype:analysis news, analysis, opinion, research paper and other kindsafter:2026-11-01 stories on or after that New York day; before:2026-11-10 on or before it
AI-generated summary Thinking Machines announced that its new Inkling 2 Small model has day-zero vLLM support and includes a native DSpark speculator. The 594B-parameter mixture-of-experts model accepts text and image inputs with context lengths up to 1M tokens and fits on a single GB200 or GB300 node.
aitop.news — LMArena has open-sourced two datasets for evaluating AI-generated web applications: ArenaWebdevPreferences, containing 6,390 app pairs with human preference la…
bytefwd.com — GitHub Apps can manage enterprise Copilot seats. Understand preview API permissions, purchase charges, cancellation timing and the separate access-plan rollout.
Unite.AI — Cerebras Systems raised its full-year revenue forecast on November 12, 2026, after third-quarter GAAP revenue rose 55% year over year to a record $210.8 million. Cloud and other services revenue jumped 265% to $141.9 mil...
techxplore.com — The efficiency of an aircraft wing or a wind turbine blade depends on how air flows around it. Finding an optimal shape involves testing numerous designs and can be a burdensome and time-consuming process. Now, researchers at Kyushu University have developed a new artificial intelligence (AI) system that can predict the aerodynamic performance of different shapes. The AI system may allow engineers more time to explore and compare designs more efficiently.