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.
Structured AI Output: How to Use Outlines and Pydantic
A new guide shows how to build LLM pipelines with a strict schema, typed data, JSON repair and validated function calls using Outlines and Pydantic.
Tesla hasn't run autonomous tests in California for six years, despite promising a quick launch
Tesla logged zero autonomous test miles in California in 2025, even though Elon Musk promised a robotaxi launch soon. Regulators are waiting not for permission, but…
ByteDance Delays Seedance 2.0 Video Generator Over Copyright Concerns
ByteDance has postponed the global release of its Seedance 2.0 video generator, fearing that familiar characters and plots in AI clips could trigger copyright…
Meta AI agent triggers internal outage and exposes sensitive data to engineers
Volcengine releases OpenViking, a file-based context database for AI agents like OpenClaw
Habr AI: Meta-Model for Diagnosing Neural Network Training Flags Failures from Learning Curves
Neural Networks in Game Development: How Larian and Microsoft Use AI
AI for CRM: Automating Deal Entry with YandexGPT
MTS Exolve walks through a Python MVP that takes a call transcript, extracts BANT fields with YandexGPT and automatically updates an existing deal in Bitrix24.
How ChatGPT Helps a Vibe Coder Run a YouTube Stream
The author wanted to quickly build an info bar for a YouTube stream in OBS, but ChatGPT led him down a long path and only later suggested a smarter fix: an HTML…
Apple unveils $549 AirPods Max 2 with live translation and stronger noise cancellation
Micron to raise capital spending as memory chip sales for AI data centers hit records
Bringing AI to Industry: Bezos's Project Prometheus
AWS shows how to build an offline feature store in SageMaker Unified Studio and Catalog
Deploying AI: Giving Neural Networks Long-Term Memory with Ontologies
Habr AI argues that ontological memory should be the next step after RAG: it helps LLMs hold context, strengthens local models and makes robots more useful.
AI for Business: 4 Rules for Building Reliable AI Agents
Thomson Reuters explains how companies can build AI agents for real work: clear metrics, expert review, a shared language across teams and reliance on proven tools.