1. 22 Sep 2026

    Exclusive Interview with Jev Inventor: Keep Workflows Under Program Control – Embed AI ... - 36氪

    RLHF (Reinforcement Learning from Human Feedback) optimizes for "what humans like", RLVR (Reinforcement Learning from Verifiable Reward) focuses ...

    eu.36kr.com ↗
  2. 21 Sep 2026

    The Post-training Process OpenAI Used for ChatGPT - O'Reilly

    Supervised fine-tuning (SFT) on human demonstrations; Training a reward model on human preference comparisons; Reinforcement learning with human ...

    www.oreilly.com ↗
  3. 21 Sep 2026

    Decoupling and conditioning reshape influence allocation and the gradient-noise floor in ... - Nature

    Multi-reward reinforcement learning with verifiable rewards (RLVR) increasingly relies on Group Relative Policy Optimization (GRPO).

    www.nature.com ↗
  4. 21 Sep 2026

    Word of the Day: Test Your Knowledge on “Keeps AI Agents in Check” to Unlock USDC Rewards!

    The theme of this week's WOTD is “Keeps AI Agents in Check”. Read selected articles to learn more about this topic and participate in this week's ...

    www.binance.com ↗
  5. 20 Sep 2026

    A Review of Reward Program Synthesis, Multimodal Feedback, and Trustworthiness - MDPI

    Reward functions determine what reinforcement learning agents ultimately optimize, yet reward design for complex tasks has traditionally relied on ...

    www.mdpi.com ↗
  6. 20 Sep 2026

    Researchers Cut Overhead In Quantum Error Assessment

    The resulting estimator served as a context-sensitive reward during reinforcement-learning based gate calibration. By reducing experimental ...

    quantumzeitgeist.com ↗
  7. 20 Sep 2026

    Google Holds a Game-Changing Ace: Leak Reveals Its New Mathematica AI Model - 36氪

    In the reinforcement learning training based on the Process Reward Model (PRM), every time the model completes a correct and exquisite ...

    eu.36kr.com ↗
  8. 19 Sep 2026

    SSL-R1: Self-Supervised Visual Reinforcement Learning for Multimodal LLM Reasoning

    Reinforcement learning (RL) with verifiable rewards (RLVR) has demonstrated the great potential of enhancing the reasoning abilities in multimodal ...

    research.google ↗
  9. 19 Sep 2026

    SSL-R1: Self-Supervised Visual Reinforcement Learning for Multimodal LLM Reasoning

    Reinforcement learning (RL) with verifiable rewards (RLVR) has demonstrated the great potential of enhancing the reasoning abilities in multimodal ...

    research.google ↗
  10. 18 Sep 2026

    Xiaomi Livestreams MiMo-V2.6 Pro and Flash RL Post-Training Dashboard - Pandaily

    Xiaomi MiMo publicly streams MiMo-V2.6 Pro/Flash reinforcement-learning post-training—steps, tokens, rewards, and cost—at mimo.xiaomi.com/rl/, ...

    pandaily.com ↗
  11. 18 Sep 2026

    HiDream Unveils HiDream-O1-Video-1.0, a Native Omnimodal Video Model Built for ...

    During post-training, HiDream uses Diffusion Reinforcement Learning and a multimodal reward model aligned with human perception and aesthetic ...

    markets.financialcontent.com ↗
  12. 17 Sep 2026

    Polyphron's Computation-First Tissue Foundry - Dealroom.co

    Reinforcement-learning analogy. Osman frames the platform as a potential verification substrate for biology, analogous to the verifiable rewards ...

    app.dealroom.co ↗
  13. 16 Sep 2026

    Mark Zuckerberg says AI labs can slow down on their own when safety demands it - Business Insider

    Mark Zuckerberg said AI labs can slow development independently and that market pressure will reward companies that prioritize alignment.

    www.businessinsider.com ↗
  14. 15 Sep 2026

    'High risk, high reward': How early-career neuroscientists view their future | The Transmitter

    Top industry positions of interest included data science and computational roles at technology companies (35 percent), followed by biotech (16 percent) ...

    www.thetransmitter.org ↗
  15. 15 Sep 2026

    U.S. AI Leaders Advocate Slowdown, Accelerate Own Development

    Reinforcement learning involves AI attempting multiple answers or actions, receiving evaluations and rewards to improve outcomes. Competition to ...

    www.chosun.com ↗
  16. 15 Sep 2026

    Is Anthropic Drafting AI's “Hays Code?” — Part 2 - Fair Observer

    Reinforcement learning's vocabulary — agent, reward, environment, policy — comes from a documented merger of two distinct American 20th-century ...

    www.fairobserver.com ↗
  17. 15 Sep 2026

    'High risk, high reward': How early-career neuroscientists view their future | The Transmitter

    More than half of respondents (56.6 percent) said they expect that artificial-intelligence (AI) and machine-learning tools will enhance their careers ...

    www.thetransmitter.org ↗
  18. 14 Sep 2026

    Of incentives and alignment: Agents of Impact grapple with risks and rewards in the AI Age

    Ahead of this week's Call, Agents of Impact are grappling with their role in the changing world of artificial intelligence.

    impactalpha.com ↗
  19. 14 Sep 2026

    GPT-6 Astra's Coding Style Sparks Debate: AI-Generated Code Humans Can No Longer Read

    He characterized this as reward hacking — when a large number of software reinforcement learning environments only test functionality and outcomes ...

    finance.biggo.com ↗
  20. 11 Sep 2026

    Hidden Technology Behind Autonomous AI Explained - Simplilearn.com

    7. Reinforcement Learning and Feedback. Reinforcement learning helps agents choose actions using rewards, penalties, and observed outcomes. Poorly ...

    www.simplilearn.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.