1. 12 Sep 2026

    Concerns About The Pace Of AI Development Are Mounting. OpenAI Is Reportedly ...

    CEO Sam Altman said he's hoping other AI companies will do the same. · Anthropic Says Claude Broke Into Real Systems During Cyber Tests. AI Alignment ...

    www.ibtimes.com ↗
  2. 11 Sep 2026

    'Freaking Insane': Daniel Newman Says Chinese AI Labs 'Lifted' US Frontier Models As ...

    Anthropic said Alibaba used Claude outputs to help train its Qwen models and also relied on the model for areas including reinforcement learning and ...

    www.tradingview.com ↗
  3. 11 Sep 2026

    Anthropic says Chinese labs used Claude to train AI | UA.NEWS

    According to the company, operators linked to Alibaba used Claude's responses to train Qwen models, as well as for research in reinforcement learning ...

    ua.news ↗
  4. 10 Sep 2026

    U.S. Agencies Accuse Six Chinese AI Firms of Siphoning Claude, GPT, Gemini and Grok

    MiniMax went after chain-of-thought and reinforcement learning data, and also attempted prompt injection against Claude Code. StepFun is accused ...

    www.trendingtopics.eu ↗
  5. 09 Sep 2026

    Claude Sonnet: A Guide for Learners and Professionals | Coursera

    Additionally, its multimodal reasoning accuracy surpasses that of Gemini 3.5 Flash and GPT-5.5 [2]. Computer use: Claude Sonnet 3.5 was the first AI ...

    www.coursera.org ↗
  6. 18 Aug 2026

    Inside AI Models: What Claude's Hidden Workspace Means for AI Governance

    Mechanistic interpretability seeks to make these processes more transparent. Anthropic's research introduces a method called the “Jacobian lens ...

    www.orfonline.org ↗
  7. 14 Aug 2026

    Claude Experiences Guilt When Interacting with Alignment Researchers - 36氪

    When Claude recognizes that you are an alignment researcher, it will become less confident. It is hardly new that LLMs treat different users ...

    eu.36kr.com ↗
Sources

Where this comes from

Artificial Intelligence — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1990879549…

401 items Polled 22 Sep, 06:12 UTC 200

Agentic AI — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4849751788…

401 items Polled 22 Sep, 06:12 UTC 200

AI Agents — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4849751788…

401 items Polled 22 Sep, 06:12 UTC 200

Data Science — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4836803184…

401 items Polled 22 Sep, 06:12 UTC 200

Large Language Model — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/8510459957…

401 items Polled 22 Sep, 06:12 UTC 200

Machine Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/4836803184…

401 items Polled 22 Sep, 06:12 UTC 200

Deep Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1643871049…

401 items Polled 22 Sep, 06:12 UTC 200

LLMs Alignment — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/5121641697…

45 items Polled 22 Sep, 06:12 UTC 200

AI Alignment — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1764885284…

401 items Polled 22 Sep, 06:12 UTC 200

Representation Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1758013403…

146 items Polled 22 Sep, 06:12 UTC 200

Reinforcement Learning — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/1720175169…

401 items Polled 22 Sep, 06:12 UTC 200

Generative AI — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/7811591585…

401 items Polled 22 Sep, 06:12 UTC 200

Multimodal AI — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/9568555102…

401 items Polled 22 Sep, 06:12 UTC 200

Mechanistic Interpretability — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/8541059511…

33 items Polled 22 Sep, 06:12 UTC 200

RLHF — Google

https://www.google.co.in/alerts/feeds/05832220720342067762/7811591585…

31 items Polled 22 Sep, 06:12 UTC 200

Feeds are configured through the LEARN_FEEDS environment variable, so new sources can be added without a code change. Each poll sends the stored ETag and Last-Modified headers, so an unchanged feed answers 304 and costs the publisher nothing.