AI Updates on 2026-02-09
AI Model Announcements
- OpenAI releases GPT-5.3 Codex in Cursor, GitHub, and VS Code with noticeably faster performance than 5.2 @sama
- Anthropic makes Claude Opus 4.6 available at no extra cost to nonprofits on Team and Enterprise plans @AnthropicAI
- ByteDance launches Seedance 2.0 with native audio generation, 2K resolution, and quality surpassing Veo 3.1 and Sora 2 @deedydas
AI Industry Analysis
- Anthropic reportedly closing in on $20B funding round months after previous raise @TechCrunch
- Harvey AI raising at $11B valuation just months after hitting $8B valuation @TechCrunch
- OpenAI begins rolling out ads in ChatGPT to free and Go users in US, promising ads won't influence responses @OpenAI
- Engineers report Codex 5.3 becoming preferred model over previous versions for complex engineering problems @cursor_ai
- NBER research finds political affiliation has no impact on AI adoption, driven instead by structural workplace and skill differences @emollick
AI Ethics & Society
- HBR research reveals AI productivity gains can lead to burnout and mental exhaustion without proper organizational support @simonw
- Detailed analysis explains how LLM behavior is role-conditioned text completion rather than expression of inherent goals or values @emollick
- OpenAI's Super Bowl ad featuring "Pantheon" and "The Singularity is Near" draws contrasting reactions inside and outside AI community @random_walker
AI Applications
- Google DeepMind's Perch 2.0 bioacoustics model achieves top performance on whale vocalization tasks despite training primarily on terrestrial animals @GoogleDeepMind
- AI cybersecurity research discovers 12 new OpenSSL zero-days and 5 CVEs in curl across critical open source infrastructure @JeffDean
- Hugging Face releases Transformers.js v4 with WebGPU acceleration for AI applications running in browsers, Node.js, and Electron @huggingface
AI Research
- MIT engineers discover material that can switch thermal conductivity from plastic-like to marble-like simply by stretching it quickly @MIT
- Google Research releases generative meta-model trained on billion LLM activations for understanding model behavior @berkeley_ai