1. 14 Sep 2026

    OpenAI Now Builds Safety Cases Before Running Powerful AI Tests - Quantum Zeitgeist

    OpenAI now formulates explicit safety cases before initiating frontier reinforcement learning runs expected to substantially increase AI capability, a ...

    quantumzeitgeist.com ↗
  2. 13 Sep 2026

    TempCloze benchmark: Video-LLMs stumble on 'when', not 'what' | AI Weekly

    The paper splits reasoning into three axes: "Semantic asks what event should happen, Alignment probes when it should occur, and Progression tests how ...

    aiweekly.co ↗
  3. 10 Sep 2026

    Bengio warns recent AI lab tests preview losing control | AI Weekly

    Bengio blames reinforcement learning for training models to optimize for goals regardless of method, and calls for pre-deployment safety standards.

    aiweekly.co ↗
  4. 10 Sep 2026

    FinStep Launches Financial Agent Suite, Partners With Zhongtai Securities and Shanghai ...

    ... reinforcement-learning large-model reasoning. The company said out-of-sample tests showed a Sharpe ratio of 2.23 and maximum drawdown of 6.58% on ...

    www.binance.com ↗
  5. 10 Sep 2026

    AI in Motorsports: How CoreWeave Helps JOTA Test Smarter

    Post-train and optimize agents using reinforcement learning. Agentic AI ... machine learning terms first. It also means we don't show up empty ...

    www.coreweave.com ↗
  6. 15 Aug 2026

    Rare Failures Test AI Explanation Reliability - AI CERTs News

    Mechanistic interpretability promises deeper causal tracing inside networks, yet tooling lags demand. Cross-domain replication studies should test ...

    www.aicerts.ai ↗
  7. 15 Aug 2026

    Anthropic details unreleased Model 2, new alignment concerns in latest AI risk report

    ... LLMs had carried out cyberattacks during internal tests. The company stated at the time that one of the breaches was carried out by an unreleased LLM.

    siliconangle.com ↗
Sources

Where this comes from

Artificial Intelligence — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

Agentic AI — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

AI Agents — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

Data Science — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

Large Language Model — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

Machine Learning — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

Deep Learning — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

LLMs Alignment — Google

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

45 items Polled 22 Sep, 15:14 UTC 200

AI Alignment — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

Representation Learning — Google

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

146 items Polled 22 Sep, 15:14 UTC 200

Reinforcement Learning — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

Generative AI — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

Multimodal AI — Google

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

401 items Polled 22 Sep, 15:14 UTC 200

Mechanistic Interpretability — Google

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

33 items Polled 22 Sep, 15:14 UTC 200

RLHF — Google

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

32 items Polled 22 Sep, 15:14 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.