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OpenAI 8 years ago 53
Compute used in the largest AI training runs has doubled every 3.4 months since 2012, roughly 7 times faster than Moore's Law's historical 2-year doubling cycle. The total increase over this period exceeds 300,000x, compared to a 7x increase if Moore's Law had applied. This acceleration suggests preparation is needed for AI systems substantially more capable than those available today.
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TLDRocket
28 October 2026
The big thread today wasn’t more AI demos—it was agents moving from clever text to something closer to operations. GitHub’s new Copilot Fusion is the clearest signal: it picks and orchestrates models for coding tasks automatically, and GitHub says Copilot Fusion Max matched Claude Code with Opus 5.5 Max at about half the average API cost and roughly 40% less time per task. That’s paired with a practical enterprise lever, too: companies can restrict which models Fusion is allowed to use. Virtana’s update takes the same theme into incident response, letting its AI agents coordinate with agents from other vendors via protocols like Model Context Protocol and Agent2Agent, with policy and audit logging deciding who gets to touch what.
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