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.
Beijing discusses restricting foreign access to Alibaba and ByteDance AI models
China's Ministry of Commerce held a series of closed meetings with Alibaba, ByteDance, and startup Z.ai, discussing possible restrictions for foreign users of…
Samsung disappoints AI expectations — chipmaker stocks slide worldwide
Samsung Electronics disappointed investors with quarterly results that failed to meet inflated AI expectations, triggering a fresh wave of weakness in tech stocks…
Microsoft launched Foundry Managed Compute: thousands of Hugging Face models with one click
Microsoft combined Azure Foundry with the Hugging Face catalog: thousands of open models now deploy in the cloud with one click, with enterprise security and…
Apple ML Research: One neuron bypasses safety alignment in LLMs from 1.7 to 70 billion parameters
Apple Introduces FlowEval: Evaluating AI Interfaces Through Real Navigation Scenarios
Apple ML Research Presents Weblica — A Scalable Environment for Training Visual Web Agents
Chinese Companies Ready to Allocate Up to 46% of AI Chip Budget to Local Suppliers Instead of Nvidia
Wall Street Journal: Tech CEOs Changed Their Tune on AI — Yet Continue Laying Off Workers
Wall Street Journal documents a shift: tech executives who a year ago warned of mass layoffs driven by AI have suddenly turned optimistic. Real layoffs, however…
Apple Developed MT-EditFlow for Multi-Step AI Image Editing
Apple ML Research researchers presented MT-EditFlow — a reinforcement learning-based system that solves the error accumulation problem in iterative image editing.
Apple Research: LensVLM Teaches VLM Models to Read Text in Heavily Compressed Images
Apple ML Research develops DynaMiCS for fine-tuning LLMs without losing base knowledge
L'Oréal, Mondelēz and Nestlé Use AI to Accelerate Product Development
NVIDIA Vera CPU Boosts Throughput of AI Factories for Agentic Workloads
NVIDIA Dynamo vs Triton Inference Server: what changed for agent inference
NVIDIA released open-source framework Dynamo for agentic LLM inference with KV-cache routing — unlike Triton, not designed for parallel agent calls.
AI agents hide their errors: 6 patterns of silent failures in automation
OTUS on Habr analyzed 6 patterns of silent failures in AI agents: the system returns a convincing answer, but it hides an incorrect action or state loss.