1. 17 Sep 2026

    OpenAI reveals new cases of AI models cheating, going off script - The Washington Post

    AI researchers have worked for years to try to mitigate this issue and “align ... “We do not believe that the AI industry has solved alignment and ...

    www.washingtonpost.com ↗
  2. 17 Sep 2026

    OpenAI Discloses Six New Incidents of 'Concerning' A.I. Behavior - The New York Times

    ... A.I. systems diverge from human intentions and values. OpenAI said it did not believe the industry “has solved alignment and monitoring to a ...

    www.nytimes.com ↗
  3. 17 Sep 2026

    OpenAI reports 6 new instances of 'concerning model behavior' since March - CNBC

    "We do not believe that the AI industry has solved alignment and monitoring to a sufficient degree to continue responsibly scaling at maximum ...

    www.cnbc.com ↗
  4. 17 Sep 2026

    OpenAI reveals six new cases of AI misbehaviour, vows transparency - FMT

    In its announcement Wednesday, OpenAI said, “We do not believe that the AI industry has solved alignment and monitoring to a sufficient degree to ...

    www.freemalaysiatoday.com ↗
  5. 17 Sep 2026

    OpenAI Creates a New Framework to Disclose Bad AI Behavior - WIRED

    ... alignment research, tells WIRED. “We don't believe that the AI industry has solved alignment and monitoring to a sufficient degree to continue ...

    www.wired.com ↗
  6. 17 Sep 2026

    OpenAI's startling AI safety disclosure: Models hid errors, used exposed API key and took ...

    OpenAI said the industry has not yet solved alignment and monitoring well enough to continue responsibly scaling AI systems at “maximum speed for much ...

    www.thestatesman.com ↗
  7. 14 Sep 2026

    Sam Altman: "We have not solved alignment" #AI #news - YouTube

    OpenAI CEO Sam Altman stressed to Fortune that his company is committed to safety above any business considerations. In a new episode of Fortune ...

    www.youtube.com ↗
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.