AINewsnow

With the new Opus/Fable models out, how will US labs keep their lead if competitors can train on them?

The recent CISA advisory detailed how Chinese AI companies were running an industrial scale distillation campaign. What stops groups from more mass distillation? And with Chinese labs also buying training data from American annotation companies that supply US labs, it just seems difficult to spend…

Read the full story at r/ArtificialInteligence ↗

Timeline · 1 report

  1. 2026-09-23 19:33 · r/ArtificialInteligence
    With the new Opus/Fable models out, how will US labs keep their lead if competitors can train on them?

More stories

  1. GPT-6 Sol and Luna now available on AI Gateway — Vercel Blog
  2. Sam Altman’s remarks at the United Nations Security Council — OpenAI News
  3. Create your own voices with Gemini 3.8 text-to-speech — Google DeepMind YouTube
  4. Google releases Gemini 3.8 Flash TTS and Gemini 3.8 Flash-Lite TTS, its "most expressive audio generation models yet", with support for more than 100 languages (Google) — Techmeme
  5. Anthropic launches Claude Opus 5.5 with stricter safeguards for cybersecurity — The Verge AI
  6. Alibaba unveils new AI chip to challenge NVIDIA, plans Qwen models with up to 10 trillion parameters — Mint AI
  7. No Shirt, No Shoes, No Service: Amazon Blocks Meta’s Muse AI From Shopping — CNET AI
  8. Moonshot’s Kimi K3 lands on Amazon in key test for Chinese open-source AI revenue — South China Morning Post Tech

Get the daily brief of stories like this at 6:30 every morning →