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Applied AI·October 21, 2026·1 min read

Recursive launches Flint, a laptop coding model it says was largely built by AI

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If Recursive can credibly ship a laptop-scale coding model largely trained and iterated by its own AI system, the bottleneck in model development shifts from human research bandwidth to capital and eval quality. For operators, the question becomes how quickly you can stand up closed-loop systems that design, test, and refine your own domain models without adding headcount.

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Meta expects its 2026 capex to be $135B-$145B, vs. $130B-$145B previously, and forecasts Q4 revenue of $73B-$76B, vs. $73.6B est.; META jumps 3%+ after hours

Meta nudging 2026 capex up to $135B–$145B while the stock trades up tells you public markets are now underwriting hyperscale AI and infra spend as core, not speculative. For smaller players, this raises the bar on owning foundational compute — partnership and specialization become the default strategy, not a compromise.