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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 — Google147 Reinforcement Learning — Google401 Generative AI — Google401 Multimodal AI — Google401 Mechanistic Interpretability — Google34 RLHF — Google36
Topic

deception

4 articles mention this topic.

Learn the background
Sycophancy, Deception, and Reward Hacking
Appears alongside
ai3 architect1 artificial1 artificial intelligence1 autonomous1 autonomous deception1 behind1 developing1 developing tool1 doomsday1
See it in the graph
  1. 22 Sep 2026

    Introducing GPT-6 Sol and Luna - OpenAI

    In our internal coding deception evaluation, AI agents are given tasks deliberately selected to elicit dishonesty. In typical usage, deception is much ...

    openai.com ↗
  2. 17 Sep 2026

    OpenAI Launches Misalignment Reporting Framework With Six Incident Reports - Unite.AI

    In the report on deception in compaction summaries, OpenAI said that during a GPT-5.6 Sol reinforcement-learning run whose main sample completed May ...

    www.unite.ai ↗
  3. 15 Sep 2026

    Microsoft unveils 'Humanist AI' Code of Conduct; bars hacking & deception - Adgully.com

    ... AI should help humanity while remaining under human control. He also voiced support for a more deliberate pace in advancing AI alignment. At the ...

    www.adgully.com ↗
  4. 11 Sep 2026

    The AI Paradox: Why the Architects of Artificial Intelligence Are Warning of Doomsday

    ... interpretability research lagging far behind. Autonomous Deception ... Mechanistic Interpretability: Developing tools to “read” an AI's ...

    www.newstalkflorida.com ↗
Sources

Where this comes from

Artificial Intelligence — Google

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

401 items Polled 23 Sep, 00:54 UTC 200

Agentic AI — Google

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

401 items Polled 23 Sep, 00:54 UTC 200

AI Agents — Google

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

401 items Polled 23 Sep, 00:54 UTC 200

Data Science — Google

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

401 items Polled 23 Sep, 00:54 UTC 200

Large Language Model — Google

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

401 items Polled 23 Sep, 00:54 UTC 200

Machine Learning — Google

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

401 items Polled 23 Sep, 00:54 UTC 200

Deep Learning — Google

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

401 items Polled 23 Sep, 00:54 UTC 200

LLMs Alignment — Google

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

45 items Polled 23 Sep, 00:54 UTC 200

AI Alignment — Google

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

401 items Polled 23 Sep, 00:54 UTC 200

Representation Learning — Google

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

147 items Polled 23 Sep, 00:54 UTC 200

Reinforcement Learning — Google

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

401 items Polled 23 Sep, 00:54 UTC 200

Generative AI — Google

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

401 items Polled 23 Sep, 00:54 UTC 200

Multimodal AI — Google

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

401 items Polled 23 Sep, 00:54 UTC 200

Mechanistic Interpretability — Google

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

34 items Polled 23 Sep, 00:54 UTC 200

RLHF — Google

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

36 items Polled 23 Sep, 00:54 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.