198 summarised stories about Agent Infrastructure, each linking back to the original source. Browse all topics →
Simon Willison’s Weblog 6 days ago 20 ● 4 sources
Anthropic redesigned its source-control system by building Scion and replacing Git after code-change volume increased. In May 2026 it averaged about 2,500 merged code changes per day, rising to over 30,000 per day by September. The switch introduced the “Antique” code review system and a new migration completed in five months.
SiliconANGLE 6 days ago 25
Spranic is developing a spatial memory layer to record physical environments and how they change for physical AI. It aims to support reusable spatial context so robots can replan across many tasks instead of relying on statically planned deployments. The approach links that spatial data with knowledge graphs to preserve data provenance and make robot decisions more auditable.
Perplexity AI 1 week ago 18 ● 3 sources
Perplexity Computer launched Projects so people and AI agents can collaborate on long-running tasks in shared workspaces backed by a persistent, concurrent, traceable Git-style repository. Submissions have a median latency under 1.7 seconds (p99 under 8 seconds) with stale-base conflicts forcing the losing writer to replay and resubmit on the new head. This replaces per-session isolation with month-spanning version history and automatic state convergence while keeping large files and parsed document text managed outside the repository.
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20 October 2026
Meta’s big bet is still the loudest signal in AI today: Mark Zuckerberg and Alexandr Wang framed the company’s next phase as a full-stack build—own the infrastructure, then monetize agent-style tools beyond ads—with projected spending of $100 billion to $200 billion. The point isn’t just better models; it’s vertical control. Meta is scaling its own compute and, if systems like its “Muse” move from demos to dependable product, could shift revenue from impressions to interactions.
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