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In-Context Inference Enables Multi-Agent Cooperation

In-Context Inference Enables Multi-Agent Cooperation

Researchers demonstrate that sequence models' in-context learning induces cooperation in multi-agent RL without hardcoded co-player assumptions or timescale separation. Training against diverse co-players leads to best-response strategies on intra-episode timescales. This naturally emerges mutual shaping via extortion vulnerability, providing a scalable path to cooperative behaviors.

Kling AI Becomes Kuaishou’s Growth Engine

Kling AI Becomes Kuaishou’s Growth Engine

Kling AI generated more than RMB 850 million in Q2 revenue, up 240% year over year, making it the standout growth driver in Kuaishou’s otherwise slowing business. Kuaishou is prioritizing AI investment, spinning Kling AI out for independent financing at an implied valuation of US$18 billion despite near-term profit pressure.

Rapidus Bets on 2nm Without Fighting TSMC

Rapidus Bets on 2nm Without Fighting TSMC

Rapidus is pursuing mass production of advanced 2nm semiconductors through a large-scale Japanese national project. Instead of matching TSMC’s scale, the company plans to compete with RUMS, an integrated one-building production model designed for diverse, lower-volume manufacturing.

ITmedia AI+ (日本)Media1h ago#2nm#semiconductors#chip-manufacturing