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).

Nullify Erases Knowledge From LLMs Without Retraining, Using Null-Space Vectors
Nullify makes an LLM "forget" private data at inference time: the weights stay unchanged, and forgetting quality on TOFU and MUSE matches baseline methods.

Multimodal Alzheimer's AI model reaches 0.935 AUROC on 2649 patients
A new framework combines MRI, clinical transformers and ODE-GRU. On ADNI, OASIS-2 and MIRIAD, diagnostic AUROC is 0.935, but on the external OASIS-3 cohort it drops…

CARing teaches LLMs to predict diagnoses: R@30 hits 46.52% on MIMIC-IV
CARing's authors encode diagnoses as Semantic IDs and reward the model for covering distinct diagnoses. In reasoning mode, R@30 is 46.04% on MIMIC-III and 46.52% on…

MoE Router Telemetry Leaks Fine-Tuning Data: Attack Gains 2.7–9.4 pp in Accuracy

SPERA Trained on 80,000 Hours of EEG From 29,048 People and Tested on 9 Tasks

80 Synthetic Dialogues Are Enough to Train Activation Probes for Gemma-3-27B, but Not Everywhere

Temporal Transformer for the CAN Bus Catches Anomalies Without Sharing Raw Data

Freezing the Decoder in KV-Cache Compression Saves 3x Memory but Doesn't Improve Accuracy
An arXiv paper finds that when a KV cache is compressed with SVD, fine-tuning only the encoder matches the alternatives on quality at a third of the trainable…

SFT-as-Context Restores General Skills in Fine-Tuned LLMs, Within 2.2 Points
A training-free method has a base model use its SFT version's answer as context. Across 19 model pairs, general-skill losses average no more than 2.2 percentage…

Doctors Don't Ask LLMs About Diagnoses: 127 833 Queries vs. 58 Benchmarks

FedAlphaEdit Merges Knowledge Edits from Different Organizations into One LLM Without Sharing Data

Three LLMs Follow Prompts for Stutters and Interruptions Poorly; Rules Do Better

Sociolinguistics Instead of LLM Judges: Testing User-Simulator Personas on 5 Agents

Routed Sparse Autoencoders Separate Words From Intonation in Speech on WavLM and SPEAR
A new TopK autoencoder method sends speech content and voice with emotion down separate routes. Tested on two encoders, two corpora and independent probes.

Galahad-kv stores KV cache on NVMe and loads a block 2.8–4.3x faster than recomputing it
The galahad-kv package stores the KV state of 50M tokens on encrypted NVMe. On an H100, loading a block is 2.8–4.3x faster than recomputing it and uses 8.8–12.3x…









