Wire · technology
Import AI 466: The bitter lesson for robotics, AIs complete week-long programming tasks
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Fusion42 · 28 July 2026 · Fusion42 review
Epoch and METR released MirrorCode, a benchmark showing AI systems can now reimplement complex software programs (up to 87k lines) in hours at costs under $400, with 68% of targets solved perfectly; separately, Anthropic demonstrated that scaling general-purpose models delivers robotics breakthroughs, with Claude Opus 4.7 completing autonomous robot tasks 20x faster than prior records.
This Wire brief sits within Fusion42's coverage of AI Agents, AI Frontier Models and Robotics. Wire is Fusion42's founder-focused intelligence feed: each story is connected to the funds and startups it names — every one with a live profile on Raise or Scout — so founders can follow the capital and the momentum behind the headline rather than just the headline itself. Wire analysis is one of the live surfaces Arthur reasons over.
◆ ◆ The Wire takeaway
General-purpose AI models are now solving multi-week programming and robotics tasks autonomously in hours; if you're building software tools or robotics products that require human orchestration, your cost structure and feature roadmap just became obsolete. Scaling models alone is displacing entire categories of human-in-the-loop work, and cheaper, faster AI agents will eat margins on anything that looks like task completion rather than task design.
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