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.
Mimesis for Bias Audit: Check if Your Model Discriminates
The Mimesis library helps developers detect hidden biases in machine learning models by generating balanced synthetic datasets for controlled bias auditing.
The Deficit Spiral: Why There Won't Be Senior Developers by 2031
Junior developer hiring has fallen 40%, and AI has pushed companies to cut training investments even further. A shortage of juniors today will turn into an acute…
Google I/O 2026: Leaders Discussed Quantum Computing, Robotics, and AI for Creativity
At Google I/O 2026, leading experts gathered for Dialogues discussions to explore the future of quantum computing, robotics, and AI applications in creative…
Cathie Wood predicts a robotaxi boom — the largest market for embodied AI
PaddleOCR 3.5 Gains Support for Hugging Face Transformers
Agent Harness in LangChain: the architecture of autonomous AI assistants
Together AI Unveiled ATLAS: A Speculator That Accelerates LLM by 4x
China's biotech leap: AI, clinical trials, and rising investment
China's biotech sector is growing thanks to AI for drug design and a more efficient drug approval system, making the country a leader in clinical trials and…
NVIDIA Shows Efficient Method to Train Cosmos for Robot Video Generation Using LoRA
NVIDIA released a guide for fine-tuning Cosmos Predict 2.5 using LoRA/DoRA—a parameter-efficient adaptation method that enables robot video generation training in…
LangChain Introduced SmithDB — A Distributed Database Built for AI Agents
Together AI Launched Self-Service Instant Clusters on NVIDIA H100 and B200
Robot apocalypse is a myth: what really worries Oxford AI professor
Amazon Bedrock: Custom Lambda-evaluators for AI Agent Control
Amazon Bedrock Adds Three Ways to Manage AI Agent Tools
AWS Bedrock offers developers a choice between a Docker sandbox, managed Code Interpreter, and an Anthropic SDK-compatible proxy for calling tools from AI agents.
LangChain optimized Deep Agents for different models: +10–20% performance gain
Deep Agents now have model-specific profiles that tailor behavior to OpenAI, Anthropic, and Google models. On the tau2-bench benchmark, this delivered a 10–20 point…