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.
rlhf
30 articles mention this topic.
-
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 ↗ -
23 Aug 2026
Guardian: Sidelined Hollywood Creatives Now Train AI Models - AI Weekly
Fowler is one of a smattering of Hollywood creatives now going public with the RLHF work. Editor's note. The people rating today's AI drafts are ...
aiweekly.co ↗ -
21 Aug 2026
Kawin Ethayarajh - t.co / X
Classic: learn a reward model from human feedback (RLHF), then optimize the policy to maximize expected reward. ... Khatri et al. (2026), Scaling RL ...
t.co ↗ -
21 Aug 2026
Custom LLM Training Services: Why Human Feedback Still Decides Model Quality
Meaningful RLHF and fine-tuning programs require large pools of trained evaluators, often across many languages simultaneously — a level of ...
markets.financialcontent.com ↗ -
17 Aug 2026
RLHF - LinkedIn
www.linkedin.com ↗ -
15 Aug 2026
Kindling in neural systems: progressive adversarial sensitization during LLM alignment ... - Nature
... RLHF. Sensitisation was tracked with 150 adversarial prompts stratified by strength, with 50 strong, 50 medium, and 50 weak prompts. Outcome ...
www.nature.com ↗ -
14 Aug 2026
How LLMs Are Trained After Pretraining: SFT, Reward Models, and RL Without the Alphabet Soup
After that it turned into soup. RLHF, PPO, DPO, RLVR, GRPO, reward model, value function. A pile of three- and four-letter acronyms all orbiting "fine ...
hackernoon.com ↗ -
13 Aug 2026
Teens Named AI Sycophancy as Mental Health Risk Before Any Regulation Did
Stanford study finds teens grasp the RLHF training flaw behind AI sycophancy. By Kyle Belmonte Published: Aug 12 2026, 9:39 AM EDT.
www.techtimes.com ↗ -
12 Aug 2026
Mercor's Brendan Foody on RL Environments for AI | StartupHub.ai
... (RLHF) data. This era enabled significant progress in models like GPT-3, leading to advancements like ChatGPT, GPT-4, and other agentic data ...
www.startuphub.ai ↗ -
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 ↗
Where this comes from
Artificial Intelligence — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/1990879549…
Agentic AI — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/4849751788…
AI Agents — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/4849751788…
Data Science — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/4836803184…
Large Language Model — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/8510459957…
Machine Learning — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/4836803184…
Deep Learning — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/1643871049…
LLMs Alignment — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/5121641697…
AI Alignment — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/1764885284…
Representation Learning — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/1758013403…
Reinforcement Learning — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/1720175169…
Generative AI — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/7811591585…
Multimodal AI — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/9568555102…
Mechanistic Interpretability — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/8541059511…
RLHF — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/7811591585…
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.