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).
OpenAI's Interpretability Founder Says 90% of Neurons Have a Single Function
OpenAI's Nick Cammarata argues that with agentic tools even a trillion-parameter model is nearly readable, and 90% of neurons serve one function. The essay is…
Kunlun Wanwei launches Matrix-Game 4.0: a video model that plays in 480p at 60 FPS on a single GPU
Kunlun Wanwei has released Matrix-Game 4.0, a game video model that outputs 480p at 60 FPS on a single consumer GPU. A game engine runs the world; a neural network…
DeepSeek releases V4.1-Flash-1017 and opens its Search API at $0.75 per 1000 calls
DeepSeek's updated Flash model, V4.1-Flash-1017, finishes tasks faster, writes shorter answers and is open source. Search and Fetch APIs cost $0.75 per 1000 calls.
Anthropic to put 5% of its shares into a Public Benefit Fund, with the stake growing as the company grows
Researchers Propose Anti-Persistence: LLM Agent Memory Without Stored Rules
3D Scene Generation: DiT Works in a 3D Latent and Encodes a Scene in 1K Tokens
POPE audit: the choice of "yes/no" tokens shifts LLaVA-1.5 F1 by 6.13 points
Parallel Refinement Instead of Diffusion: DRLMs Hit 93.9% on Sudoku-Extreme
Microsoft has introduced DRLMs — a parallel reasoning method that generates a full draft and iteratively refines it instead of running reverse diffusion. On three…
TokenWorth Teaches AI Agents to Forget: Best Results on Three Environments With the Fewest Tokens
Researchers introduce TokenWorth, a lightweight agent memory system that scores the "worth" of memories and outperforms more complex baselines on three…
Anthropic: junior share of hires fell from 27% to 9%, while agent hours outpaced human hours 6x
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
IQuest-Q1: An Open 320-Billion-Parameter MoE Model for Agentic Coding in the CLI
IQuest-Q1 is an open MoE model with 320 billion parameters, 15 billion of them active. It is trained for agentic coding in the command line and built by merging…
Naive RAG Beat Agentic Memory Systems in Six of Seven Tests
Raw-RAG, which uses dense retrieval and reranking over raw conversation history, took first place in six of seven setups and beat the best agentic memory by…