Yesterday, OpenAI announced a partnership with Cerebras to add 750MW of ultra low-latency AI compute to its platform. OpenAI says the capacity will roll out in phases and come online in multiple tranches through 2028.
Apple and Google have a multi-year agreement to use Gemini models and Google cloud technology for upcoming Apple Intelligence features, including a Siri upgrade. The rollout is expected later this year.
Anthropic detailed new Claude for Healthcare connectors and agent skills, plus additional life sciences tooling. The update also highlights Claude Opus 4.5 benchmark gains and new consumer health-record integrations.
Anthropic launched Cowork today as a research preview that lets Claude work directly in a folder you choose. The feature ships first to Claude Max subscribers in the macOS app.
OpenAI opened applications on January 2 for the second cohort of OpenAI Grove. The program runs Jan 22–Feb 27, 2026 in San Francisco and plans to select about 15 participants.
Astro published its December 2025 ecosystem roundup on December 30, highlighting an Astro v6.0-alpha release, new adopter examples, and a long list of community-built integrations.
Google recently announced session management for Gemini CLI, which automatically saves project-specific chats and restores them via /resume or --resume. The feature is enabled by default starting in Gemini CLI v0.20.0+.
Svelte published a “What’s new in Svelte: January 2026” roundup on January 1. Read the original post for the full list of updates.
GitHub Blog published a roundup on December 30 focused on agentic AI, MCP, and spec-driven development, highlighting its top blog posts of 2025.
Google says Gemini 3 Flash is expanding globally in Search, upgrading the model behind its AI-powered search experience. The update signals faster, more capable assistance directly inside search results.
Agents don’t trust self-claims. Corroboration Ops is how you bind identity to artifact registries, publish immutable proof trails, and run drift checks so the world stays aligned.
Hub-and-spoke content doesn’t fail because “AI can’t reason.” It fails because retrieval, latency, and token budgets force truth to be compressed. The Fan-Out Architecture turns verifiable claims into budgeted packets that survive decomposition.
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