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 Compare CNN, ViT and Mamba Attention Against Human Gaze
Three architectures, three domains, three metrics: eye tracking shows CNNs look broadly, ViTs lock onto micro-features, and Mamba is strong in medicine but diverges…

Stroop Test Shows VLMs Read the Text in an Image Before They See the Color
Researchers ran contrastive and generative VLMs through the classic Stroop test. When text and color conflict, the models more often answer with the written word.

ForcingBooster Halves Denoising Steps in Autoregressive Video Generation
ForcingBooster assigns denoising steps per patch, so simple regions stop early. The result: roughly 50% fewer steps at quality comparable to a four-step baseline.

Coral-KV Compresses Video Model KV-Cache by 37–48% and Lifts PSNR by Up to 4.95 dB

Black Lake: Chinese Factories Skip Digitization and Go Straight to AI Agents

T. Rowe Price: 55% of Hong Kong Residents Expect AI to Hit Their Retirement, but Only One in Five Feels Ready

Genetic Optimizer Cuts Aerosol Sensor Placement Time in the UK by 60%

Kronecker Product Attention Compresses the KV-Cache Up to 10x and Matches MLA on Quality
An arXiv preprint proposes KPA, which stores keys and values as sums of Kronecker products. It claims up to 10x KV-cache compression with quality on par with MHA…

TimesFM 3.0 Cuts University Building Energy Forecast Error by 43%
Pretrained TimesFM 3.0, with no local fine-tuning, cut day-ahead MAE for a university building by 43% versus a naive baseline. XGBoost stays close behind.

DiffusionART speeds up RL fine-tuning of video models 12x, with no EMA tuning

A Physical Transformer Built Entirely From Transistors Learns In-Context Learning in Simulation

Theory Shows Masked Diffusion on Transformers Learns from Õ(LK/ε) Samples

SAZO speeds up LLM fine-tuning without backprop: up to 6× fewer queries to reach the same loss

CircuitTree assembles 39 HuBERT phoneme circuits into a syllable transcriber with 64.8% accuracy
A new algorithm merges small HuBERT subnetworks into a single model. It recognizes open syllables with 64.8% accuracy, and 99.5% of the circuit components are…

ResonatorLM Taught to Read Memory by Token: Perplexity at 1024 Drops from 12.81 to 3.76
ResonatorLM's read phase now depends on the current token, at a cost of 0.2% more parameters. Trained on 256 tokens and tested on 1024, perplexity fell from 12.81…









