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.

OpenAI and Anthropic Guardrails Are Getting in the Way of Cybersecurity Researchers
TechCrunch spoke with offensive security researchers about how the safety filters in OpenAI and Anthropic models slow down vulnerability hunting and exploit…

Anthropic Upgrades Claude's Voice Mode: Rescheduling Meetings and Drafting Emails
On July 23, 2026, Anthropic moved Claude's voice mode to more capable models. You can now reschedule a meeting or draft an email by voice.

AMD Helios Takes On Nvidia: Rack-Scale AI System Arrives in Late 2026
AMD is launching Helios, a rack-scale AI system built on Instinct MI400 accelerators and a direct rival to Nvidia's server platforms. First customer shipments start…

Anthropic Releases Claude Opus 5 — Close to Fable 5 in Capability and Stronger at Coding

Anthropic Unveils Opus 5: Cheaper and Less Restricted Than Fable

Moonshot AI vs. Anthropic: Wired Podcast Examines Accusations of Copying Claude

Why China's Moonshot Kimi K3 Spooked Wall Street and the US AI Industry

Midjourney Buys Astrology App Co-Star in Its First Acquisition
Image generator Midjourney has made its first acquisition, buying astrology app Co-Star. The parties have not disclosed the financial terms of the deal.

Prentis: Reid Hoffman and Mark Pincus Launch an AI Lab and Seek $100M
Reid Hoffman and Mark Pincus are launching AI lab Prentis and negotiating a $100M round, betting on automating routine computer tasks rather than coding.

AI Data Centers Dropped 3 GW at Once, Nearly Taking Down the PJM Grid

OpenAI Shows Off an AI Keypad: A Gadget for Coders That Will Mostly Puzzle Everyone Else

OpenAI Launches Health in ChatGPT: Medical Records and Apple Health Integration in the US

Moonshot AI's Kimi Has Spooked Silicon Valley: Why Investors Are Panicking Over Chinese AI

OrderBench: Why a JSON Schema Doesn't Protect LLM Agents from Dangerous Orders
OrderBench shows an LLM agent can return a perfectly schema-valid order, yet about 20% of such orders are semantically wrong. A schema guarantees form, not meaning.

PCS Method: Probabilistic Control of Steering Vectors for Safer LLM Output
PCS moves control over large language model output from a binary mode to a probabilistic one: it preserves model quality and adds a controllable shift toward safety.









