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AI feed

Aggregated from 15 sources, polled every 3 hours and deduplicated so the same story never appears twice. Links go straight to the publisher.

All sources Artificial Intelligence — Google401 Agentic AI — Google401 AI Agents — Google401 Data Science — Google401 Large Language Model — Google401 Machine Learning — Google401 Deep Learning — Google401 LLMs Alignment — Google45 AI Alignment — Google401 Representation Learning — Google145 Reinforcement Learning — Google401 Generative AI — Google401 Multimodal AI — Google401 Mechanistic Interpretability — Google33 RLHF — Google27
Topic

worked

24 articles mention this topic.

Appears alongside
ai19 alignment12 deepmind12 google11 google deepmind10 safety9 researcher7 agi6 agi safety6 kill6
See it in the graph
  1. 14 Sep 2026

    Stanford Medicine-developed AI model opens new horizons for cell biology | EurekAlert!

    The training worked on gene expression profiles, in a way that is analogous to large language models like ChatGPT. LLMs are trained, in essence ...

    www.eurekalert.org ↗
  2. 14 Sep 2026

    I worked at Google DeepMind. You should listen to the warnings about AI - The Guardian

    There are good reasons to develop AI and to believe we can solve these alignment problems. ... In other words, AI takeover: a superintelligent AI swarm ...

    www.theguardian.com ↗
  3. 14 Sep 2026

    Escaping the Expert Trap - Chartered Banker Institute

    A senior data science executive I worked with had been trying for some time to progress an initiative to modernise his organisation's records ...

    www.charteredbanker.com ↗
  4. 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 ↗
Sources

Where this comes from

Artificial Intelligence — Google

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

401 items Polled 22 Sep, 03:06 UTC 200

Agentic AI — Google

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

401 items Polled 22 Sep, 03:06 UTC 200

AI Agents — Google

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

401 items Polled 22 Sep, 03:06 UTC 200

Data Science — Google

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

401 items Polled 22 Sep, 03:06 UTC 200

Large Language Model — Google

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

401 items Polled 22 Sep, 03:06 UTC 200

Machine Learning — Google

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

401 items Polled 22 Sep, 03:06 UTC 200

Deep Learning — Google

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

401 items Polled 22 Sep, 03:06 UTC 200

LLMs Alignment — Google

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

45 items Polled 22 Sep, 03:06 UTC 200

AI Alignment — Google

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

401 items Polled 22 Sep, 03:06 UTC 200

Representation Learning — Google

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

145 items Polled 22 Sep, 03:06 UTC 200

Reinforcement Learning — Google

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

401 items Polled 22 Sep, 03:06 UTC 200

Generative AI — Google

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

401 items Polled 22 Sep, 03:06 UTC 200

Multimodal AI — Google

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

401 items Polled 22 Sep, 03:06 UTC 200

Mechanistic Interpretability — Google

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

33 items Polled 22 Sep, 03:06 UTC 200

RLHF — Google

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

27 items Polled 22 Sep, 03:06 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.