Skip to main content
Back to Discussions

The Race to Recursive Self-Improving AI

Technology
United States
Started 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 ...

Source Articles

Add Statement Analysis 0/5
Looking for a particular claim? Search all statements
🗳️ Join the conversation
10 statements to vote on • Your perspective shapes the analysis
📊 Progress to consensus analysis Needs 7+ participants and 20+ votes. Each statement joins once it has 3+ votes.
Participants 0/7
Statements (10+ recommended) 10/10
Total Votes 0/20
💡 Progress updates live here. Analysis can run once all three requirements are met.

Your votes count

No account needed. Your votes are saved and included in the consensus analysis. Create an account to keep a record of your votes.

CLAIM Posted by admin • Oct 13, 2026
Recursive self-improvement in AI could lead to unprecedented advancements in technology and society.
Vote options for this statement: agree, disagree, or unsure
💬 View Discussion
Be first to respond
Vote to see results
CLAIM Posted by admin • Oct 13, 2026
The development of recursive self-improvement AI should prioritize transparency and accountability to prevent misuse.
Vote options for this statement: agree, disagree, or unsure
💬 View Discussion
Be first to respond
Vote to see results
CLAIM Posted by admin • Oct 13, 2026
The concept of recursive self-improvement must be clearly defined to avoid misconceptions about AI capabilities.
Vote options for this statement: agree, disagree, or unsure
💬 View Discussion
Be first to respond
Vote to see results
CLAIM Posted by admin • Oct 13, 2026
Recursive self-improvement in AI can enhance problem-solving capabilities in critical areas like healthcare and climate change.
Vote options for this statement: agree, disagree, or unsure
💬 View Discussion
Be first to respond
Vote to see results
CLAIM Posted by admin • Oct 13, 2026
AI systems that can improve themselves will inevitably lead to ethical dilemmas that society must confront.
Vote options for this statement: agree, disagree, or unsure
💬 View Discussion
Be first to respond
Vote to see results
CLAIM Posted by admin • Oct 13, 2026
Investing in recursive self-improvement AI is crucial for maintaining competitive advantage on a global scale.
Vote options for this statement: agree, disagree, or unsure
💬 View Discussion
Be first to respond
Vote to see results
CLAIM Posted by admin • Oct 13, 2026
The pursuit of recursive self-improvement in AI could lead to a technological singularity that humanity cannot control.
Vote options for this statement: agree, disagree, or unsure
💬 View Discussion
Be first to respond
Vote to see results
CLAIM Posted by admin • Oct 13, 2026
Recursive self-improvement in AI could result in systems that become uncontrollable and unpredictable.
Vote options for this statement: agree, disagree, or unsure
💬 View Discussion
Be first to respond
Vote to see results
CLAIM Posted by admin • Oct 13, 2026
AI developers must prioritize safety and ethical guidelines when pursuing recursive self-improvement techniques.
Vote options for this statement: agree, disagree, or unsure
💬 View Discussion
Be first to respond
Vote to see results
CLAIM Posted by admin • Oct 13, 2026
Investment in recursive self-improvement AI should be balanced with ethical considerations and public input.
Vote options for this statement: agree, disagree, or unsure
💬 View Discussion
Be first to respond
Vote to see results

💡 How this works

  • • Add statements: Post claims or questions (10 to 500 characters).
  • • Vote: Agree, disagree or unsure on each statement.
  • • Respond: Add detailed arguments for or against, with evidence.
  • • Consensus: Once enough people take part, analysis shows opinion groups and where they agree.

Society Speaks is open and independent. Your support keeps civic discussion free from advertising and commercial influence.

Support us