Zhemal Khamidun
Hamidun News editorial desk led by Editor-in-Chief Zhemal Khamidun (CPO of AlpinaGPT). Daily curation across 50+ global AI labs, research feeds, and industry reports in 6 languages.
Anthropic Updates Usage Rules for the First Time in a Year: No Cruelty to Claude
Anthropic has expanded Claude's usage policy with bans on propaganda, surveillance, and weapons. The headline change: the model can now end conversations with…
OpenAI's Revenue Is $20 Billion Below Investor Expectations
OpenAI told investors it generates $50 billion in revenue, not $70 billion. The $20 billion gap stems from methodological differences with Anthropic in how revenue…
USA Today Sues OpenAI for $250 Million Over Use of Articles in AI Training
USA Today Co. and its local newspapers are demanding compensation for the unauthorized copying of hundreds of thousands of articles to train AI models. This marks…
Five-Layer Immutable Memory for an AI Agent: Why One Vector Database Is Never Enough
Qwen-Image-PE Teaches Neural Networks Design: Prompt Enhancer Adds +7.81 Points
PatEx-Gym Teaches AI Agents to Hunt for Patent Prior Art: 1 Million Patents and a 4B Model
LLM Agents Spent 20 Days Building an AI for Hearthstone Battlegrounds That Beats Top-10 Players
CMU Researchers Teach RL Models to Stop Padding Answers: FORK Lifts Win Rate from 22% to 74%
The FORK reward adds a precision objective to rubric-based RL and cures bloated, inaccurate answers: win rate against the base model on HealthBench rose from 22.1%…
Mycelium: Researchers Break Down Hallucination Benchmarks Along Three Axes
Julia Belikova and Elisei Rykov analyzed LLM hallucination detection benchmarks along three axes and proposed a new metric, Span Coverage F1, for evaluation at the…
Raspberry Pi 5 off the grid: a signed poisoned knowledge package sailed through every check
RoboJev-27B judges robot success from 10 frames: 0.993 AUROC on SO-101
C3L Breaks the Explanation Drift Loop in Continual Learning: 5 Benchmarks, 20+ Baselines
ReGE Teaches Agents From Their Own Attempts: +9.9 pp Without Fine-Tuning
Zhejiang University and Peking University Propose SPADER for Multi-Answer QA
SPADER, accepted to EMNLP 2026 Main, is an RL method with step-wise GRPO and a diversity reward that trains models to find all answers, not just the most common…
Xiaohongshu and Fudan University Build DR-Rubric for RL on Open-Ended Tasks
Xiaohongshu and Fudan University present DR-Rubric at NeurIPS 2026, a way to build evaluation criteria for RL on tasks that have no reference answer.