Context limits just became optional. MIT’s Recursive Language Models hit 91.33% accuracy on tasks where direct prompting scored exactly 0%. That’s not a typo. We broke down how RLMs achieve 100x effective context extension through recursive decomposition and verification—no bigger context windows required. The code is open source and Prime Intellect already shipped implementation details.
This is what capability gains look like in practice. And nowhere is that more visible than in coding tools. We just published our 2026 guide to AI coding assistants—Cursor vs Copilot vs Claude Code, tested head-to-head on real workflows. The winner depends entirely on how you work, and we’re specific about who should use what.
More capability means more autonomy—and more risk. TechCrunch reports that VCs are pouring money into AI security startups as autonomous agents create entirely new threat surfaces. When your coding assistant can execute shell commands and your context window spans millions of tokens, the attack surface isn’t theoretical anymore.
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