agentincident.com
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2026-02-19
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Multi-agent cooperation through in-context co-player inference
Achieving cooperation among self-interested agents remains a fundamental challenge in multi-agent reinforcement learning. Recent work showed that mutual cooperation can be induced between "learning-aware" agents that account for and shape the learning dynamics of their co-players. However, existing approaches typically rely on hardcoded, often inconsistent, assumptions about co-player learning rules or enforce a strict separation between "naive learners" updating on fast timescales and "meta-lea
Intent
Today's software development workspace.
api.cdp.coinbase.com
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turbopuffer
vector and full-text search built on object storage: fast, 10x cheaper, and extremely scalable
Low-cost EEG circuit
Commercial electroencephalography devices can cost thousands of euros depending on the complexity of the instrumentation. The objective of this project is to try to develop a very simple and cheap EEG device able to measure brain activity while preserving a sufficient level of accuracy. The resulting system is a single-channel EEG device consisting of: - 3 passive electrodes: 2 to measure the voltage difference across the skull and the other one connected to the body as a ground reference. - The
web.archive.org
The Wayback Machine - https://web.archive.org/web/20251130183409/https://content.neuralink.com/compression-challenge/README.html
Zyphra
The future of intelligence is open.
ElevenLabs secures first-of-its-kind AI Agent insurance
Elevenlabs has become the first company to go live with the AIUC-1-backed insurance policy covering AI voice agents.