1. 21 Sep 2026

    Former Google AI Boss Says Automation Could Cut Chip Design Teams From 150 ... - Wccftech

    Dean, who currently heads the AI firm Discovery Loop, was one of Google's oldest employees and has a history of investigating reinforcement learning ...

    wccftech.com ↗
  2. 20 Sep 2026

    TypeSafe AI Releases Jev: A System One Model That Returns Typed, Calibrated Decisions ...

    Those flaws keep a human in the loop. Jev uses a new stack: a new architecture, a parallel sampler, and Reinforcement Learning for Calibrated ...

    www.marktechpost.com ↗
  3. 19 Sep 2026

    TypeSafe AI Releases Jev: A System One Model That Returns Typed, Calibrated Decisions ...

    Those flaws keep a human in the loop. Jev uses a new stack: a new architecture, a parallel sampler, and Reinforcement Learning for Calibrated ...

    www.marktechpost.com ↗
  4. 19 Sep 2026

    Machine-learning-guided process co-optimization for flexible carbon nanotube transistor logic

    Schematic of the machine-learning-guided process co-optimization framework. Through an iterative "Specify-Verify" loop, the framework maps ...

    www.eurekalert.org ↗
  5. 19 Sep 2026

    AI Agents Get a Reality Check: AT&T and Crocs Want Automation but Still Need Humans in the Loop

    At Dreamforce, brands dish on unrealistic agentic AI goals—and why the future of AI agents still needs plenty of humans.

    www.adweek.com ↗
  6. 18 Sep 2026

    'Doom Loop': OpenAI and Microsoft Admits LLMs Are Destroying the Web and Built on Theft

    An internal Microsoft document said generative AI products have created a “doom loop” that is killing “the entire web.” Those statements and a ...

    www.404media.co ↗
  7. 17 Sep 2026

    'Doom Loop': OpenAI and Microsoft Admits LLMs Are Destroying the Web and Built on Theft

    Executives working on AI at Microsoft and OpenAI admitted what its critics have been saying all along: Large language models are predatory pieces of ...

    www.404media.co ↗
  8. 17 Sep 2026

    Google Researchers Announce Dream-RSI, Which Recursively Improves AI Discovery ... - OfficeChai

    It's a loop that borrows directly from model-based reinforcement learning approaches like DeepMind's own Dreamer line of world models, applied ...

    officechai.com ↗
  9. 16 Sep 2026

    From a Medical Content Pipeline to a Medical Content Loop | PharmExec

    They can open a large language model (LLM), ask a question and receive an answer synthesized from thousands of sources in seconds. That experience ...

    www.pharmexec.com ↗
  10. 16 Sep 2026

    ScienceBuddy paper nests harness evolution inside RL loop | AI Weekly

    The abstract calls this "recursive-in-recursive self-improvement, a paradigm that couples harness evolution with model reinforcement learning.

    aiweekly.co ↗
  11. 15 Sep 2026

    From idea to final frame: Where Autodesk can shorten the production loop - ADSK News

    Generative AI can produce an impressive image or clip quickly, but professional production requires work to hold together across shots, teams ...

    adsknews.autodesk.com ↗
  12. 13 Sep 2026

    AI Startup Discovery Loop, founded by former Google Chief Scientist Jeff Dean, seeks to ... - Mint

    Quoc Le, one of the early members of Google Brain, became a leading researcher in deep learning and large-scale neural networks, with his work ...

    www.livemint.com ↗
  13. 13 Sep 2026

    AI Startup Discovery Loop, founded by former Google Chief Scientist Jeff Dean, seeks to ... - Mint

    ... reinforcement learning. About the Author. Swati Gandhi's profile image. Swati Gandhi. Swati Gandhi is a digital journalist with over four years of ...

    www.livemint.com ↗
  14. 26 Aug 2026

    AI Feedback Loops Explained: How Artificial Intelligence Learns, Improves

    RLHF is a technique where humans rate AI outputs and provide guidance that helps models produce higher-quality and safer responses. 4. Can AI systems ...

    www.analyticsinsight.net ↗
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.