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.
Nvidia expects opening of Chinese market for American AI chips
Nvidia CEO Jensen Huang expressed optimism that China will eventually permit imports of American AI chips.
Google chose licenses over consulting: a new strategy in the battle for enterprise
Google, OpenAI, and Anthropic are taking different paths: Google is signing licensing agreements with the largest funds, while the other two are building consulting…
Apple will present iOS 27 with a private AI assistant at WWDC
Apple is preparing a major update to its Siri voice assistant, which will debut in iOS 27. The company will present the new AI assistant at the WWDC conference with…
Jensen Huang and Michael Dell on the AI-agents revolution and memory
AMD Soars on the Wave of AI Chip Demand
IREN invests $2.1 billion with Nvidia to develop AI clouds
Amazon Nova 2 for content moderation: a structured prompting approach
Amazon launched Alexa for Shopping, combining Rufus with the Alexa+ platform
Amazon has launched **Alexa for Shopping**, combining its Rufus (an AI assistant for shopping) with the Alexa+ platform into a unified system available everywhere…
AudioHijack: How Hidden Sounds Force AI to Execute Malicious Commands
Voice assistants and AI systems are penetrating deeper into our lives — from smart speakers and smartphones to corporate chatbots and customer service systems.
LawX raised €7.5M to automate legal office operations
Johns Hopkins created an agentic AI system to coordinate robot teams
Why bots based on protected LLMs are frequently hacked: analysis of 14,000 GPTs
Melbourne becomes a center for AI research with the MAVERIC supercomputer
How to Create a Fully-Functional AI Agent in 10 Steps: A Guide for Russian Business
AI agents are neural networks assembled into working systems capable of independently performing repetitive tasks.
LLMs struggle with unsafe Rust: six months of testing revealed critical errors
For six months, a researcher had language models write unsafe Rust and found seven categories of recurring errors — from aliasing to memory issues.