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10 articles
Former DeepMind VP Oriol Vinyals believes AI self-improvement is coming but won't lead to a sudden intelligence explosion, citing key bottlenecks in idea generation and result evaluation.
Anthropic researcher Jacob Coxon resigned, warning of existential risks from self-improving AI systems and calling for industry pacing agreements. His departure highlights growing concerns about AI safety within leading research organizations.
Recursive Superintelligence has secured a $410 million compute deal with Amazon Web Services, reflecting its focus on self-improving AI systems that prioritize computational resources over traditional operational expenses.
AI startup Recursive has emerged from stealth with $650 million in funding, aiming to build self-improving AI systems that could accelerate progress toward artificial superintelligence.
This explainer explores the concept of self-improving AI, how it works, and why it matters in the competitive landscape of AI development.
A four-month-old AI startup, Recursive Superintelligence, has raised $500 million at a $4 billion valuation, aiming to build a self-improving AI system.
Zhipu AI's new GLM-5.1 model can refine its own coding strategy across hundreds of iterations, marking a major advancement in AI-driven software development.
This article explains hyperagents, advanced AI systems that can improve both their task performance and their own learning mechanisms. It explores how these self-improving systems work and why they represent a significant advancement in artificial intelligence.
Explore how Meta AI's Hyperagents represent a major leap in AI, enabling systems to not just solve tasks but rewrite the rules of how they learn through recursive self-improvement.
MIT researchers unveil SEAL, a framework enabling large language models to self-edit and update their weights via reinforcement learning, marking a significant step toward self-improving AI.