
Huawei Researchers Propose Self-Improving AI Agents That Learn From Experience
New framework treats skills as living assets that evolve across tasks, potentially transforming how language model agents solve problems.

New framework treats skills as living assets that evolve across tasks, potentially transforming how language model agents solve problems.

Understand tokens, attention, and next-token prediction without the PhD-level math.

A technical comparison for production teams selecting a frontier model in 2026

How autonomous agents differ from chatbots, what frameworks actually work, and where they reliably fail.

When to customize an LLM: cost, latency, and accuracy tradeoffs explained for engineering leaders.

How RAG fixes LLM hallucinations by letting models fetch real data before generating answers.

As companies recruit everyday people to record household tasks for robot training, participants face unforeseen consequences of monetizing their daily routines.

A severe vulnerability in Starlette threatens millions of AI deployments and the credentials they manage for external services.

As factories embrace virtual tools, understanding the strategic differences between simulations and digital twins becomes critical for smart technology investment.