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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 — Google146 Reinforcement Learning — Google401 Generative AI — Google401 Multimodal AI — Google401 Mechanistic Interpretability — Google34 RLHF — Google36
Topic

scaling reinforcement

4 articles mention this topic.

Appears alongside
learning4 mimo-v24 reinforcement4 reinforcement learning4 scaling4 open-source3 xiaomi3 model3 open-source mimo-v22 xiaomi open-source2
See it in the graph
  1. 22 Sep 2026

    MiMo-V2.6: Scaling Reinforcement Learning Towards Self-Improvement | alphaXiv

    Reinforcement learning for agents works by having the model attempt a task, receiving a signal about how well it did, and adjusting the numbers that ...

    www.alphaxiv.org ↗
  2. 22 Sep 2026

    Xiaomi open-sources MiMo-V2.6, publishes the bill for scaling reinforcement learning

    Chinese labs have spent the year arguing that reinforcement learning, not pre-training, holds the next gains. Xiaomi has now put a price on that ...

    www.digitimes.com ↗
  3. 22 Sep 2026

    Xiaomi open-sources MiMo-V2.6 models after scaling reinforcement learning - TechNode

    Xiaomi also released MiMo-V2.6-Distill-Qwen-9B and research resources for reinforcement learning. MiMo-V2.6-Pro scored 46 on the Artificial ...

    technode.com ↗
  4. 22 Sep 2026

    Xiaomi releases MiMo-V2.6-Pro and MiMo-V2.6-Flash open-source AI models with scaled ...

    The company says the release focuses on scaling reinforcement learning (RL) compute on verifiable and complex tasks through exploration and feedback.

    www.fonearena.com ↗
Sources

Where this comes from

Artificial Intelligence — Google

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

401 items Polled 22 Sep, 21:25 UTC 200

Agentic AI — Google

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

401 items Polled 22 Sep, 21:25 UTC 200

AI Agents — Google

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

401 items Polled 22 Sep, 21:25 UTC 200

Data Science — Google

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

401 items Polled 22 Sep, 21:25 UTC 200

Large Language Model — Google

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

401 items Polled 22 Sep, 21:25 UTC 200

Machine Learning — Google

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

401 items Polled 22 Sep, 21:25 UTC 200

Deep Learning — Google

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

401 items Polled 22 Sep, 21:25 UTC 200

LLMs Alignment — Google

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

45 items Polled 22 Sep, 21:25 UTC 200

AI Alignment — Google

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

401 items Polled 22 Sep, 21:25 UTC 200

Representation Learning — Google

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

146 items Polled 22 Sep, 21:25 UTC 200

Reinforcement Learning — Google

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

401 items Polled 22 Sep, 21:25 UTC 200

Generative AI — Google

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

401 items Polled 22 Sep, 21:25 UTC 200

Multimodal AI — Google

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

401 items Polled 22 Sep, 21:25 UTC 200

Mechanistic Interpretability — Google

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

34 items Polled 22 Sep, 21:25 UTC 200

RLHF — Google

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

36 items Polled 22 Sep, 21:25 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.