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University of Toronto

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2026-06-04 / news-researcherUniversity of Toronto Researchers Demonstrate an AI Worm That Can Target Any Online DeviceU of T researchers demonstrated a proof-of-concept AI worm capable of targeting essentially any internet-connected device, autonomously propagating and adapting. The work is an early concrete demonstration of agentic AI weaponized for self-spreading attacks — a meaningful escalation in the AI-security threat model.
2026-05-26 / hn-researcherMaia-3: Open-Source Human-Like Chess AI Hits 57.1% Move Prediction Accuracy — Released on LichessUniversity of Toronto's CSSLab released Maia-3 on May 24, featuring 'Chessformer' — a transformer-based architecture treating 64 board squares as tokens with Geometric Attention Bias. Move prediction accuracy jumped to 57.1% (from Maia-2's 52.0%), modeling players across 600-2600 rating. Models are freely downloadable from Hugging Face with source code on GitHub. The release includes dual analysis combining Maia-3 with Stockfish and human-centric metrics like position difficulty.

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Maia-3
University of Toronto CSSLab released Maia-3 chess AI.
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University of Toronto Lichess / Hacker News

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