Zhemal Khamidun
Head of AI at Alpina Digital, CPO of AlpinaGPT (~30-person engineering & AI team). Founder of Vibe Academy & Hamidun Consulting, author of the AI channel «Готовим ИИшницу» (@jemal_hamidun).

Conversational Model Benchmark: GPT Realtime and Gemini Respond at Almost Every Pause
Researchers tested whether voice models can stay silent: on 427 pauses, APIs from OpenAI, Google and xAI almost always respond. Only Moshi and PersonaPlex hold back.

Linear Head on Qwen3-VL Beats GPT-4o at Scoring Answers Without Human Labels
A vision-language reward model with no human labels: a few thousand parameters on a frozen Qwen3-VL 32B beat GPT-4o on VL-RewardBench by 6.6 points.

GEPA Lifts a Deep-Research Agent's Reward from 0.702 to 0.781 on Unseen Topics
GEPA prompt evolution raised the citation reward on held-out topics by 0.079. Nearly half of the winning prompt is an answer key, but memorization is not what…

CLEAT Teaches Qwen3-4B Agents to Ask for Clarification at the Right Time: Up to +13.2 pp

SpireBench Puts 20 LLMs Through a Full Run of Slay the Spire: Experts Still Ahead

Beijing Moves to Calm A-Shares After Tech Selloff Over US Sanctions Fears

DBS chief: market is reassessing AI investment risk and will tighten financing

Refactoring C++ in OpenBMC: How an AI Agent Fought a 280-Line Function
A developer asked an AI to help with OpenBMC's createSensors function, which crams 12 tasks into 280 lines. The agent proposed 7 concrete improvements and split the…

CXMT claims breakthrough in 4F² memory cell architecture, prepares server DRAM for late 2026
China's CXMT has achieved a breakthrough in 4F² memory architecture, allowing for higher storage density. The company will launch a server DRAM product by the end…

Runpod Sponsors TreeHacks 2026: 36 Hours of GPU Compute at Stanford

RunPod Breaks Down 4 Quantization Methods: Going From FP16 to INT4 Cuts Memory 4x

UK to strengthen cyber defenses and demand more safety from AI labs

Dream2Discern Predicts Multi-Agent System Failures With Over 90% Accuracy

HACE Co-Trains a Domain Specialist and an LLM Agent Across Three Domains
The HACE framework co-evolves a domain model and an LLM agent as a pair. On the main metrics, it beat self-improvement methods in recommendations, biology and…

Anthropic cuts distillers' extraction of Claude's reasoning by 10–100x
Anthropic added a two-stage classifier and preserved thinking: the data distillers can collect fell by 90–99%, with false blocks under 0.1%.









