Ling 2.0

LIVE PULSE

3.9 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.1 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src1.9 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src1.7 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.3 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.1 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.0 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.0 arXiv paper proposes emotion regulation framework for empathetic speech dialogue in audio-language models — 1 src1.0 Paper Studies Graph Matching Relaxations for Supervised Graph Prediction — 1 src1.0 arXiv Paper Proposes Framework for Cognitive Attribution in Acquired Representations — 1 src3.9 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.1 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src1.9 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src1.7 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.3 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.1 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.0 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.0 arXiv paper proposes emotion regulation framework for empathetic speech dialogue in audio-language models — 1 src1.0 Paper Studies Graph Matching Relaxations for Supervised Graph Prediction — 1 src1.0 arXiv Paper Proposes Framework for Cognitive Attribution in Acquired Representations — 1 src

model1 events

modelsSEP 10 04:00 UTC

Ling 2.0: open reasoning-focused language models scale to 1 trillion parameters

A new technical report introduces Ling 2.0, a family of reasoning-oriented foundation models built on a unified Mixture-of-Experts architecture that spans from tens of billions up to one trillion parameters. The series is released as an open language foundation, with the stated goal of strengthening general reasoning ability across all model sizes.

open-source/reasoning/mixture-of-experts/foundation-models