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The Race to Recursive Self-Improving AI

Technology
United States
Gestart October 13, 2026

a16z General Partner Martin Casado sits down with MakerMaker.AI co-founders Dhaval Adjodah and Owen He to unpack recursive self-improvement, or RSI, and separate the increasingly popular term from what it would actually mean for an AI system to improve itself. Dhaval and Owen distinguish true RSI from simply using AI to automate pieces of AI development. Their goal is a closed loop where the system being improved is also doing the improving, across components including models, harnesses, and ...

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CLAIM Geplaatst door admin • Oct 13, 2026
Recursive self-improvement in AI could lead to unprecedented advancements in technology and society.

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CLAIM Geplaatst door admin • Oct 13, 2026
The development of recursive self-improvement AI should prioritize transparency and accountability to prevent misuse.

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CLAIM Geplaatst door admin • Oct 13, 2026
The concept of recursive self-improvement must be clearly defined to avoid misconceptions about AI capabilities.

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CLAIM Geplaatst door admin • Oct 13, 2026
Recursive self-improvement in AI can enhance problem-solving capabilities in critical areas like healthcare and climate change.

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CLAIM Geplaatst door admin • Oct 13, 2026
AI systems that can improve themselves will inevitably lead to ethical dilemmas that society must confront.

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CLAIM Geplaatst door admin • Oct 13, 2026
Investing in recursive self-improvement AI is crucial for maintaining competitive advantage on a global scale.

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CLAIM Geplaatst door admin • Oct 13, 2026
The pursuit of recursive self-improvement in AI could lead to a technological singularity that humanity cannot control.

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CLAIM Geplaatst door admin • Oct 13, 2026
Recursive self-improvement in AI could result in systems that become uncontrollable and unpredictable.

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CLAIM Geplaatst door admin • Oct 13, 2026
AI developers must prioritize safety and ethical guidelines when pursuing recursive self-improvement techniques.

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CLAIM Geplaatst door admin • Oct 13, 2026
Investment in recursive self-improvement AI should be balanced with ethical considerations and public input.

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