Portfolio ↗

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 — Google146 Reinforcement Learning — Google401 Generative AI — Google401 Multimodal AI — Google401 Mechanistic Interpretability — Google33 RLHF — Google32
Topic

formulate explicit

4 articles mention this topic.

Appears alongside
case4 explicit4 explicit safety4 formulate4 frontier4 frontier reinforcement4 openai4 reinforcement4 safety4 safety case4
See it in the graph
  1. 14 Sep 2026

    OpenAI CEO Sam Altman concerned about artificial intelligence taking control over humans ... - Mint

    For example, at OpenAI, we now formulate explicit safety cases in advance of frontier reinforcement learning runs we expect to significantly ...

    www.livemint.com ↗
  2. 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 ↗
  3. 14 Sep 2026

    Sam Altman urges caution on AI; Trump says US must keep its lead over China

    OpenAI now formulates explicit safety cases before frontier reinforcement learning runs that are expected to significantly increase a model's ...

    www.business-standard.com ↗
  4. 14 Sep 2026

    Sam Altman Backs Federal AI Safety Framework As Capabilities Race Ahead - NDTV Profit

    "At OpenAI we now formulate explicit safety cases in advance of frontier reinforcement learning runs we expect to significantly increase capability," ...

    www.ndtvprofit.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.