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).
EinsiaAI Launches Quant Arena: Half of 9 LLMs Lose Money on China's A-Share Market
Nine models from six vendors wrote and refined trading strategies for the Chinese market. On held-out data, only GPT and Opus 5.5 stayed profitable; the best result…
ReGDiff Teaches Diffusion Models to Design Metamaterials Without Copying or Producing Defects
ReGDiff first organizes the latent space, then pushes the model away only from its nearest training samples during sampling. The resulting structures are novel and…
Researchers Gauge LLM Uncertainty by the Robustness of Internal Mechanisms in 3 Models
The causal robustness margin metric shows the smallest internal intervention that changes an LLM's answer. Tested on three open models and five QA datasets.
ACT3D teaches a VLM to explore 3D scenes and beats Gemini 3.6 Flash: 53.2% across six benchmarks
Librarian Agents: LLMs Pre-Build the Workspace and Gain 33 Points on BrowseComp-Plus
Intact cuts prompt injection success in browser agents from 73.1% to 12.8%
Vercel launches Drives: agents get persistent storage of up to 16 TiB
Vercel launches BYOC on AWS and an agent authorization beta as AI token usage quadruples
Vercel made BYOC on AWS generally available and opened a beta of Enterprise-Managed Authorization. Enterprise token spend on AI Gateway grew 4x in three months.
Lovable launches Deploy on Azure: your apps and data live in your own subscription
Lovable opened a private preview of Deploy on Azure: apps, database and logs run in the customer's subscription on AKS and PostgreSQL, while the editor and agent…
Mistral releases Timestral: a 209M-parameter model that tops three benchmarks
Anthropic lets six METR auditors into its office, with the right to publish reports without a veto
Claude Traced the Origin of the NIST ECDSA Curve Seeds in Half an Hour
OpenAI: GPT‑5.6 Sol model finds critical flaw in PHP, which runs 70% of websites
Anthropic compares AI expectations: 91% of its employees and 39% of Americans expect a Nobel-level discovery by 2030
Anthropic surveyed its employees and a representative sample of American adults. The gap is huge: 91% vs 39% expect AI to make a Nobel-level discovery by 2030.
Anthropic: AI Agents Now Outnumber Employees 6 to 1, and Junior Hiring Is Shrinking
Two Anthropic reports: by August 2026 the company has six times more AI agents than people, juniors make up a shrinking share of hires, and 91% of staff expect an…