Tag

#meta-learning

5 articles

Perplexity Launches Brain, a Self-Improving Memory System That Builds a Context Graph of an Agent’s Work and Learns Overnight

Perplexity's Brain is a self-improving memory system that builds a context graph of an agent's work and learns overnight. This advanced AI concept explores how agents can learn from their own experiences to improve performance.

Jun 1827

Physical Intelligence, a hot robotics startup, says its new robot brain can figure out tasks it was never taught

This article explains π0.7, a new AI system that enables robots to learn and adapt to novel tasks without extensive retraining, representing a significant step toward general-purpose robot brains.

Apr 1668

Meta's hyperagents improve at tasks and improve at improving

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.

Mar 2891

Meta AI’s New Hyperagents Don’t Just Solve Tasks—They Rewrite the Rules of How They Learn

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.

Mar 23117

Chinese AI model MiniMax M2.7 reportedly helped develop itself

This explainer explores how MiniMax's M2.7 AI model autonomously optimized its own development through recursive optimization loops, marking a significant advancement in self-improving AI systems.

Mar 2196