1. 11 Sep 2026

    Autonomous LLM post-training with Tunix on TPUs - Google Developers Blog

    Reinforcement learning is subject to hyperparameter sensitivity, instability, and longer execution times - making this task more challenging and ...

    developers.googleblog.com ↗
  2. 10 Sep 2026

    DeepSeek rolls out V4.1-Flash as it targets faster, lower-cost AI

    The company said new pre-training methods and larger-scale reinforcement learning post-training have delivered benchmark results ahead of its flagship ...

    enterpriseai.economictimes.indiatimes.com ↗
  3. 10 Sep 2026

    Baseten Acquires Blaxel to Build the Infrastructure for AI Agents in Production

    ... reinforcement learning startup specialized in post-training and continual learning. About Baseten. Baseten is the inference company behind a new ...

    www.businesswire.com ↗
  4. 24 Aug 2026

    The remarkably human task of giving AI 'good enough' taste - Fast Company

    ... (RLHF), a process where a panel of experienced humans provide feedback ... RLHF and other types of post-training. Huffman says he believes ...

    www.fastcompany.com ↗
  5. 20 Aug 2026

    No, LLMs don't just mimic human text | Pangram

    Without post-training, model alignment, that is, the ability to make large language models helpful, harmless, and safe, wouldn't be possible.

    www.pangram.com ↗
  6. 14 Aug 2026

    Benchmark Contamination Detection Inside AI Models: New Method Survives RL Post-Training

    Mechanistic interpretability began as an effort to explain what models know: which neurons respond to which concepts, how circuits route information, ...

    www.techtimes.com ↗
  7. 10 Aug 2026

    Nathan Lambert ships RLHF post-training textbook via Manning | AI Weekly

    Nathan Lambert's long-in-the-works textbook on RLHF is finally out, and the useful thing about the launch is how he's carved up the subject.

    aiweekly.co ↗
Sources

Where this comes from

Artificial Intelligence — Google

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

401 items Polled 22 Sep, 18:24 UTC 200

Agentic AI — Google

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

401 items Polled 22 Sep, 18:24 UTC 200

AI Agents — Google

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

401 items Polled 22 Sep, 18:24 UTC 200

Data Science — Google

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

401 items Polled 22 Sep, 18:24 UTC 200

Large Language Model — Google

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

401 items Polled 22 Sep, 18:24 UTC 200

Machine Learning — Google

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

401 items Polled 22 Sep, 18:24 UTC 200

Deep Learning — Google

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

401 items Polled 22 Sep, 18:24 UTC 200

LLMs Alignment — Google

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

45 items Polled 22 Sep, 18:24 UTC 200

AI Alignment — Google

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

401 items Polled 22 Sep, 18:24 UTC 200

Representation Learning — Google

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

146 items Polled 22 Sep, 18:25 UTC 200

Reinforcement Learning — Google

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

401 items Polled 22 Sep, 18:25 UTC 200

Generative AI — Google

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

401 items Polled 22 Sep, 18:25 UTC 200

Multimodal AI — Google

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

401 items Polled 22 Sep, 18:25 UTC 200

Mechanistic Interpretability — Google

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

33 items Polled 22 Sep, 18:25 UTC 200

RLHF — Google

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

32 items Polled 22 Sep, 18:25 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.