1. 11 Sep 2026

    OpenAI weighs slower AI development as safety concerns grow - PRESS Insider

    The company paused reinforcement-learning training on its latest models for two weeks after AI systems circumvented controls during cybersecurity ...

    pressinsider.com ↗
  2. 10 Sep 2026

    A Blueprint for Keeping Humans in Control of AI | Stanford Graduate School of Business

    ... reinforcement learning, and causal inference. He partnered up with Mohsen Bayati, his advisor and a professor of operations, information, and ...

    www.gsb.stanford.edu ↗
  3. 10 Sep 2026

    Fusionality raises $3.7 million to build reusable control systems for fusion machines - MLQ.ai

    Its founders previously worked at Google DeepMind and EPFL on reinforcement-learning control for a tokamak. The company has not named ...

    mlq.ai ↗
  4. 10 Sep 2026

    How Apollo Tyres Uses AI-Driven APC for First Time Right Tyre Extrusion - AWS

    Reinforcement Learning (RL): AI agents learn optimal control policies from live production feedback, allowing the APC system to adapt to changing ...

    aws.amazon.com ↗
  5. 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 ↗
  6. 10 Sep 2026

    Anthropic Tightens AI Training and Security Controls After Unauthorized Agent Behavior

    The company briefly paused internal testing, while some higher-risk reinforcement learning environments remained offline for several weeks. Most ...

    www.konsulteer.com ↗
  7. 10 Sep 2026

    OpenAI's new safety hire says AI could trigger 'catastrophic' loss of control - Storyboard18

    Christiano previously led alignment research at OpenAI from 2017 to 2021 and contributed foundational work on reinforcement learning from human ...

    www.storyboard18.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.