1. 17 Sep 2026

    OpenAI reveals six new cases of artificial intelligence misbehaviour, vows transparency

    US artificial intelligence giant OpenAI has promised to more systemically report instances of its models going off track, while also publishing ...

    www.rnz.co.nz ↗
  2. 16 Sep 2026

    The Frontline Fortnightly | AI's atom bomb moment?

    ... giant that develops the Claude family of large language models (LLMs). Coxon spent three years training LLMs, first at OpenAI and then at ...

    frontline.thehindu.com ↗
  3. 15 Sep 2026

    Copyright proposal lets AI giants train for free if quotas are met - AFR

    ... model called Ginan and is developing a full large language model called Australis. He said recent calls to slow down development of frontier models ...

    www.afr.com ↗
  4. 14 Sep 2026

    Why are tech giants demanding AI safety pauses? - Buttondown

    Reinforcement learning incentivizes multi-agent coordination when joint goals offer higher overall training rewards. Audit training reward ...

    buttondown.com ↗
  5. 12 Sep 2026

    Anthropic CEO Dario Amodei calls for AI development slowdown - Firstpost

    Rather, it would be a measure to ensure that tech giants take adequate time to align and safeguard their models, while allowing third-party evaluators ...

    www.firstpost.com ↗
  6. 12 Sep 2026

    200000, 300000, 500000... Leading internet giants are scaling up their AI scholarship programs.

    New employees will be deeply involved in multimodal AI topic research after joining. The 2027 Alibaba Star Top Talent Recruitment and Cultivation ...

    eu.36kr.com ↗
  7. 10 Sep 2026

    “Too heavy of a hammer”: How Yutori is beating AI giants at building the web's future

    ... multimodal generative AI research and now runs a startup called Yutori. To solve this in the age of AI, the industry is now looking at agents that ...

    www.heyfuturenexus.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.