1. 20 Sep 2026

    Will AI models achieve the ability to improve autonomously? Leading labs say the scenario is near

    ... AI models to train and improve new AI ... Key concepts. Large language modelsAI alignmentAgentic consumer AIGenerative AI ethicsMachine learning ...

    techxplore.com ↗
  2. 19 Sep 2026

    Naples Team Cuts CNOT Gates In Clifford Circuits - Quantum Zeitgeist

    To achieve this, Daniele Lizzio Bosco and colleagues employed Reinforcement Learning, a trial-and-error process akin to training an animal with ...

    quantumzeitgeist.com ↗
  3. 19 Sep 2026

    Will AI models achieve the ability to improve autonomously? Leading labs say the scenario is near

    The company said in that announcement that while RSI can help align models' actions with human values and intentions, that doesn't mean "rapid RSI is ...

    techxplore.com ↗
  4. 19 Sep 2026

    QCraft's Qian Xiangjun: World Model + Reinforcement Learning is the Core Technical Path ...

    The vehicle world behavior model integrates VLA and reinforcement learning algorithms to achieve full-chain modeling from perception to action.

    autonews.gasgoo.com ↗
  5. 19 Sep 2026

    Will AI models achieve the ability to improve autonomously? Leading labs say the scenario is near

    Machine learning & AI · Other · Robotics · Security · Software · Telecom. 18 minutes ago. Machine learning & AI. The GIST. Will AI models achieve the ...

    techxplore.com ↗
  6. 19 Sep 2026

    Will AI models achieve the ability to improve autonomously? Leading labs say the scenario is near

    Still, the company has not expressly said how close it is to achieving fully autonomous model improvement. ... Key concepts. Large language modelsAI ...

    techxplore.com ↗
  7. 19 Sep 2026

    Will AI models achieve the ability to improve autonomously? Leading labs say the scenario is near

    While some companies push forward, others emphasize the need for human control and global cooperation to ensure safety and alignment in AI development ...

    www.bozemandailychronicle.com ↗
  8. 18 Sep 2026

    Google just built the infrastructure for agentic commerce - Fast Company

    That's when an AI agent attempts to purchase something for a consumer, but a failed credit application stops it. For agentic commerce to achieve the ...

    www.fastcompany.com ↗
  9. 18 Sep 2026

    VISH-GUARD: a multi-agent and LLM-powered framework for multilingual voice phishing detection

    ... large language model (LLM)-based reasoning to achieve robust, multilingual, and explainable threat detection. The system coordinates specialized ...

    www.nature.com ↗
  10. 18 Sep 2026

    Clarifying some AI terms: LLM vs Agent (and what does “alignment” mean?) - Daily Kos

    We would just have a better version of Google search. But agents are different. They are given goals to achieve, and typically start by using LLM's to ...

    www.dailykos.com ↗
  11. 17 Sep 2026

    AI model “Jev” to make machines decide faster | heise online

    To achieve this, the company has developed a training method called “Reinforcement Learning for Calibrated Decisions” (RLCD). It is intended to ...

    www.heise.de ↗
  12. 17 Sep 2026

    Runaya achieves 55 per cent women representation across organisation

    Runaya achieves 55% women representation and targets 60% as it expands opportunities for women across manufacturing ... learning. Some employees pursue ...

    www.manufacturingtodayindia.com ↗
  13. 16 Sep 2026

    Hybrid explainable AI approaches for interpreting large language models | PLOS One

    Large Language Models (LLMs) achieve state-of-the-art performance across natural language processing tasks but remain opaque, limiting adoption in ...

    journals.plos.org ↗
  14. 12 Sep 2026

    Rising Embodied Intelligence Sector Star Achieves Unicorn Status in Just 3 Months - 36氪

    UC Berkeley, where he works, is itself a leading global academic center for research on robot learning, reinforcement learning and embodied ...

    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, 09:12 UTC 200

Agentic AI — Google

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

401 items Polled 22 Sep, 09:12 UTC 200

AI Agents — Google

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

401 items Polled 22 Sep, 09:12 UTC 200

Data Science — Google

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

401 items Polled 22 Sep, 09:12 UTC 200

Large Language Model — Google

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

401 items Polled 22 Sep, 09:12 UTC 200

Machine Learning — Google

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

401 items Polled 22 Sep, 09:12 UTC 200

Deep Learning — Google

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

401 items Polled 22 Sep, 09:12 UTC 200

LLMs Alignment — Google

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

45 items Polled 22 Sep, 09:12 UTC 200

AI Alignment — Google

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

401 items Polled 22 Sep, 09:12 UTC 200

Representation Learning — Google

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

146 items Polled 22 Sep, 09:12 UTC 200

Reinforcement Learning — Google

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

401 items Polled 22 Sep, 09:12 UTC 200

Generative AI — Google

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

401 items Polled 22 Sep, 09:12 UTC 200

Multimodal AI — Google

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

401 items Polled 22 Sep, 09:12 UTC 200

Mechanistic Interpretability — Google

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

33 items Polled 22 Sep, 09:12 UTC 200

RLHF — Google

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

31 items Polled 22 Sep, 09:12 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.