1. 16 Sep 2026

    AI Standards Body and Agentic Misalignment Risks - Drishti IAS

    Frontier AI and autonomous agents are expanding the AI risk landscape, creating concerns around agentic misalignment, cyber threats, deepfakes, labour ...

    www.drishtiias.com ↗
  2. 15 Sep 2026

    Pinterest Partners with NVIDIA to Build New AI Layer

    ... multimodal AI products without creating custom infrastructure for each one, Pinterest said. With NVIDIA, Pinterest is turning 80 billion+ monthly ...

    intellectia.ai ↗
  3. 14 Sep 2026

    Should we give self-aware AI systems a dignified death, leading futurologist asks

    He says that modern large language models equipped with 'narrative memory' can now explain not just what they do, but why they do it, creating ...

    www.eurekalert.org ↗
  4. 14 Sep 2026

    Microsoft Joins AI Firms Calling for Caution With Cutting-Edge Models - Claims Journal

    The Humanist AI Code of Conduct is the work of Microsoft AI, the development team creating the company's large language models. Microsoft was ...

    www.claimsjournal.com ↗
  5. 14 Sep 2026

    'People matter more than AI': Microsoft joins tech firms urging caution on advanced AI

    The Humanist AI Code of Conduct has been developed by Microsoft AI, the team responsible for creating the company's large language models.

    www.moneycontrol.com ↗
  6. 14 Sep 2026

    “The central challenge of frontier artificial intelligence is not merely creating capable systems ...

    Explain the concept of AI alignment and its importance for the safe development of frontier models. Suggest safeguards to ensure effective human ...

    www.insightsonindia.com ↗
  7. 09 Sep 2026

    Boston University Appoints Deepti Ghadiyaram as Co-Director of AIR | Rafik Hariri Institute ...

    ... mechanistic interpretability. “I am excited for students to connect with speakers from diverse research backgrounds, while also creating a shared ...

    www.bu.edu ↗
Sources

Where this comes from

Artificial Intelligence — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

Agentic AI — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

AI Agents — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

Data Science — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

Large Language Model — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

Machine Learning — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

Deep Learning — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

LLMs Alignment — Google

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

45 items Polled 22 Sep, 12:14 UTC 200

AI Alignment — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

Representation Learning — Google

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

146 items Polled 22 Sep, 12:14 UTC 200

Reinforcement Learning — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

Generative AI — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

Multimodal AI — Google

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

401 items Polled 22 Sep, 12:14 UTC 200

Mechanistic Interpretability — Google

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

33 items Polled 22 Sep, 12:14 UTC 200

RLHF — Google

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

32 items Polled 22 Sep, 12:14 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.