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.

Meta Releases New Features in AI-Glasses for People with Disabilities
Meta has launched updates for its Ray-Ban AR-glasses that make the technology more accessible to people with various health conditions. New features include…

Google Expands SynthID: Invisible AI-Generated Content Watermarking Becomes Standard
Google launches a major expansion of SynthID and C2PA technologies to watermark AI-generated images, videos, and audio, making it easier for people to identify fake…

llms.txt: how to help ChatGPT, Claude, and Perplexity cite your site correctly
llms.txt is a file in your site's root directory that tells ChatGPT, Claude, and Perplexity how to cite you and what to treat as canonical information.

Meta launched an AI assistant in WhatsApp for small businesses in India

TechEx North America: Why Corporate AI Projects Get Stuck in Pilots

YouTube Shorts Remix: Google Lets Users Reimagine Videos with Gemini AI

Zabbix and Local LLM Integration: How to Design an Architecture for Smart Alerts

NVIDIA Vera Rubin: How Developers Will Scale Agentic AI Without Latency
NVIDIA introduced Vera Rubin—a platform for scaling agentic AI that combines the Vera Rubin NVL72 GPU and Groq 3 LPX accelerator to achieve 400 tokens per second on…

Vercel reveals the top AI models in production: Anthropic leads in spending
Vercel analyzed 7 months of AI Gateway traffic and found that Anthropic leads in spending (61%), Google leads in token volume, and agentic workloads already account…

Vibe coding on Android: create apps right on your phone

A conductor instead of an assembly line: how AI rethinks the classic pipeline

NVIDIA Shows the Difference Between Evaluating Models and Evaluating AI Agents

DeepMind Ready to Reimagine Drug Discovery and Defeat Diseases

Alibaba Introduces Its Own AI Chip for Neural Network Training and Inference
The Chinese tech giant unveiled its own processor, strengthening vertical integration in AI development and reducing dependence on Nvidia.

NVIDIA Released AI-Q for Deep Research in Agent Frameworks
NVIDIA introduced AI-Q — a specialized component for delegating complex research to a separate backend. Supports enterprise data via MCP and works with Claude Code…









