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).

Researchers Annotate 2,122 WildChat Conversations: 71.1% of Legal Chats Seek Personal Advice

StopLoss Cuts Off Doomed Coding-Agent Runs and Saves Up to 48% of Costs

An LMS and CRM at 205,000 Lines of Code, Built by AI Agents: The Real Cost of Running It, Three Lead States, and One \r Character

Changing the definition of "unsafe" moves a guardrail score from 0 to 100 with 0.03% of weights
The authors labeled ~53 thousand prompts twice under different policies and trained 20 guardrail models. Benchmark spread reached 23x, and some test sets were…

Anthropic to put 5% of its shares into a Public Benefit Fund, with the stake growing as the company grows
Anthropic is allocating 5% of its shares to a new Public Benefit Fund; the board may add 2% per 50% valuation gain. With founder and staff pledges, about 20% goes…

Researchers Propose Anti-Persistence: LLM Agent Memory Without Stored Rules
A new memory design for LLM agents stores trajectories and outcomes, then rebuilds guidance from scratch for each task. It uses the fewest LLM calls of the designs…

TokenGate speeds up LLM prefill by up to 11.3x with learnable token pruning

Vercel sets deadlines for vendors: static keys must go by 2027

T2Quant Reallocates Precision Across Diffusion LLM Steps: Up to +6.7 pp

RIDAR catches integrity violations by AI scientists: 3964 cases across 300 runs

FilmFlow: Four Agents Build 3D Camera Trajectories from Text and Video
The FilmFlow agent system turns text or a reference video into an executable 3D camera trajectory. On CinemaBench, a 750-task benchmark, it beat baseline methods…

BrickWright Teaches Coding Agents to Build with LEGO: 100% Valid Builds vs. 9–69%
The BrickWright framework and its Python toolkit BrickLayer lifted physically valid LEGO builds to 100% on 512 prompts, while baseline agents managed between 9% and…

IQuest-Q1: An Open 320-Billion-Parameter MoE Model for Agentic Coding in the CLI

Naive RAG Beat Agentic Memory Systems in Six of Seven Tests

AgentVQA Tests 22 VLMs on Agentic Tasks: The Best Scores Just 58.5%

Cola2 beats Llama-3-8B on HellaSwag with 43 times fewer tokens

Anthropic opens a call for life sciences researchers: 8–12 weeks with Claude, free of charge
Anthropic invites labs to joint biology and drug discovery projects: 8–12 weeks with the company's researchers, compute paid by Anthropic, data stays with the…

Anthropic Hands Agent Skills Standard to AAIF: 1 Million Skills, 280 Million Installs
Anthropic gave the Linux Foundation the Agent Skills standard, along with its name, logo and domain. Since December 2025, more than 70 platforms have adopted it…






