Implications: Models Writing Their Own Successors

Anthropic's Claude Sonnet 4.5 reportedly demonstrates groundbreaking autonomy by coding for up to 30 hours non-stop, significantly outpacing prior benchmarks like GPT-5 Codex’s seven-hour runs. This leap is enabled by innovations such as enforced modular artifacts, persistent memory surfaces, planning loops, and runtime constraints—transforming the way AI tackles complex, long-horizon tasks. The broader implication is that AI is now not only capable of building sophisticated applications autonomously but is also recursively engineering its own future iterations, rapidly accelerating progress across the tech landscape.
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