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).
NUS Teaches a Model to Find What It Described: gIoU Rises From 57.5% to 68.2%
Generalized CycleGRPO links describing a region and finding it from text in a single RL loop, with no reference captions and no LLM judge. On GroundingSuite, gIoU…
TenetBench: 11 of 14 LLM Configurations Violate Professional Ethics Codes
A new Russian-language benchmark tests models against specific clauses of professional ethics codes. 11 of 14 configurations produce conflicting content on most…
DetectorScope Turns the Black Box of AI-Text Detectors into a Transparent One
Google DeepMind researchers taught AI-text detectors to explain their decisions: sparse autoencoders pull human-readable features out of the model with no loss of…
Claude Designed 17 Proteins Against Scorpion Toxins in 64 Hours
250 subagents vs. 4 threads: why orchestration architecture matters more than a loud model name
Six Teams from UCSB, Stanford and J.P. Morgan Release an Agent Memory Benchmark
九章云极 Alaya-DFlash2 speeds up GLM-5.3 decoding by 3.41x
MemT 1.0 builds memory into the model and aims at AI self-improvement
MemT 1.0 is out: memory is meant to be a built-in model capability, not an external add-on. A story about DeepSeek and an exhausted context sparked the discussion.
Huawei openJiuwen connects an LLM to lab equipment for electrocatalysis
Huawei's openJiuwen team and its computing platform team closed the loop: an LLM designs an electrocatalysis experiment, and physical instruments carry it out.
Lovable Launches Auto-Deletion of "Dead" Apps: 60 Days of Silence, Then the Trash
Jiqizhixin Invites NeurIPS 2026 Authors to an Offline Meetup in Beijing
Xiaohongshu speeds up its sparse-attention indexer: DoSA halves TTFT
A Company's Immune System and 7,522 Hours Saved: What Actually Worked When Rolling Out AI at Alpina
Stratified Sparse Attention speeds up decoding 2.96x at 1M context
The SSA sparse attention method combines deterministic top-k with importance-weighted sampling of the remainder. At 50x sparsity on 128K, it retains 85% of…
StyleStream 2.0 Cuts Voice Conversion Latency in Half, to 520 ms
The second version of the streaming voice conversion system runs with 520 ms latency on a consumer GPU. It also learns to create and edit voices from text…