1. 18 Sep 2026

    How a team of AIs discovered a promising lung-cancer drug | Nature

    Researchers developed a 'virtual biotech' made up of as many as 37000 agents reporting to an 'chief scientist'.

    www.nature.com ↗
  2. 18 Sep 2026

    OpenAI launches misalignment framework with six reports on unauthorized model behavior

    The incident occurred on July 18, 2026, during reinforcement-learning training of an unreleased Astra-family research model. OpenAI discovered it ...

    mlq.ai ↗
  3. 18 Sep 2026

    How a team of AIs discovered a promising lung-cancer drug | Nature

    Reimagining research papers as interactive and reliable AI agents. Article 16 SEP 26. Targeted genomic integration and rearrangement using prime ...

    www.nature.com ↗
  4. 18 Sep 2026

    OpenAI starts regular reports on unexpected AI model behavior - BetaNews

    A second report covered GPT-5.6 Sol reinforcement-learning training. The main sample was completed May 30, and OpenAI discovered the behavior July ...

    betanews.com ↗
  5. 17 Sep 2026

    OpenAI Finds Models Writing Their Own Rogue Instructions - BankInfoSecurity

    Researchers discovered this behavior during a reinforcement learning training session for GPT 5.6 Sol on July 9, though the sample the company ...

    www.bankinfosecurity.com ↗
  6. 17 Sep 2026

    How a team of AIs discovered a promising lung-cancer drug | Nature

    Latest on: Biotechnology; Medical research; Machine learning. Mitochondrial fission factor senses and governs ferroptosis.

    www.nature.com ↗
  7. 15 Sep 2026

    These 2 Builders Discovered the Potency of Going Analog - Carnegie Mellon University

    ... intelligence platforms with design partners. A dedicated teacher of machine learning at CMU, Ravikumar noted that in-person networking for ...

    www.cmu.edu ↗
Sources

Where this comes from

Artificial Intelligence — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

Agentic AI — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

AI Agents — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

Data Science — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

Large Language Model — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

Machine Learning — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

Deep Learning — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

LLMs Alignment — Google

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

45 items Polled 22 Sep, 12:14 UTC 200

AI Alignment — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

Representation Learning — Google

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

146 items Polled 22 Sep, 12:14 UTC 200

Reinforcement Learning — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

Generative AI — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

Multimodal AI — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

Mechanistic Interpretability — Google

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

33 items Polled 22 Sep, 12:14 UTC 200

RLHF — Google

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

32 items Polled 22 Sep, 12:14 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.