1. 14 Sep 2026

    The language AI uses to reason can affect the quality of its reasoning, research finds

    Large Language Models often switch to a high-resource language such as English for their internal reasoning, even when the user asks a question in ...

    futurecio.tech ↗
  2. 13 Sep 2026

    KAIST Develops AI That Reads Brain Waves to Correct Its Own Errors

    KAIST developed neural value alignment, a brain-computer interface that lets AI read users' brain waves and correct its own actions in real time.

    en.sedaily.com ↗
  3. 11 Sep 2026

    ChatGPT Edu rollout opens new opportunities | Inside UNSW

    “I am a multimodal, multi-model AI user, which means constantly switching between different kinds of work. In any given week, that includes script ...

    www.inside.unsw.edu.au ↗
  4. 10 Sep 2026

    Snap CEO discusses ad development and AI | Social Media Today

    But multimodal models, powered by artificial intelligence, are providing new ways to sequence user actions in order to generate recommendations ...

    www.socialmediatoday.com ↗
  5. 08 Sep 2026

    China Deploys AI App to Strengthen Fraud Prevention - Telecom Review Asia

    By incorporating large language models, multimodal models, and AI agent technologies, the app lets users enter details of suspicious situations via ...

    www.telecomreviewasia.com ↗
  6. 24 Aug 2026

    Context-DPO: Aligning Language Models for Context-Faithfulness - Microsoft Research

    ... (LLMs) require adherence to user instructions and retrieved information. While alignment techniques help LLMs align with human intentions and ...

    www.microsoft.com ↗
  7. 14 Aug 2026

    Claude Experiences Guilt When Interacting with Alignment Researchers - 36氪

    When Claude recognizes that you are an alignment researcher, it will become less confident. It is hardly new that LLMs treat different users ...

    eu.36kr.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.