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).
Honeycomb Gives Video Models Constant-Size Memory for Loop Closure
Researchers unveil Honeycomb, a fixed-size memory that helps a video model recognize a room after the camera completes a full circle, without context growing with…
New Survey Maps AI in Humanitarian Work: Six Tasks, From Weather to Refugees
A survey on Hugging Face Daily Papers describes AI as a tool for six humanitarian tasks: weather forecasting, energy, forests, poverty, post-disaster damage and…
ARC-SORT hits 81.82 HOTA on SportsMOT and runs at 50 fps
The training-free ARC-SORT tracker scores 81.82 HOTA on SportsMOT with the fewest ID switches among 69 entries, and runs at about 50 fps on a laptop RTX 3060.
LIBERO-Industry tests 5 robot policies on 216 factory tasks
Cohere pitches utilities on running North AI agents inside their own perimeter
LLM-Attacker Benchmarks Split-LLM Attacks: Gradients Raise Leakage to 37.77%
Data Rewriting Beats DP-SGD on the Privacy-Quality Trade-Off
Kolab: 115 Hours of Recordings Show That AI Agents Don't Understand Their Human Colleagues
Minnesota NLP researchers recorded 50 professionals from 40 occupations working with AI agents. Frontier models overestimate how well that collaboration goes.
DialFork measured procedural hallucinations in agents across 36,278 dialogues
The DialFork benchmark catches agents that sound smooth and factually correct but drift off script. It includes 36,278 dialogues, 24 tasks, 12 domains, and two new…
RealCLI: The Best Terminal AI Agent Scores 49% on a Test of Working With a Human
OpenAI Engineer Hid a "Bug" in Toilet Paper and Got Caught Within 48 Hours
OpenAI shows how ChatGPT builds a catering pitch for a Toronto restaurant
Natura-1 Teaches Robots Dexterous Hands With a Million Hours of Human Experience
Tsinghua Unveils SRHarness and MechBench: AI Agents That Look for Formulas and Mechanisms
Tsinghua's data science and intelligence lab proposed SRHarness for agentic symbolic regression and the MechBench benchmark to help AI find formulas and mechanisms…
Tsinghua Unveils Jev-LDE: Edit ICL Examples Once, Boost 1-Shot Accuracy
Tsinghua researchers propose Jev-LDE, a method that edits in-context learning examples once and noticeably raises average 1-shot accuracy.