Explainers
Как это работает и что значит на практике. Без маркетинга. · 18 materials
Where the Agent Loses Intent: An Analysis of arXiv:2610.37830
On October 30, 2026, arXiv published a paper on measuring the divergence between a natural-language specification and the behavior of a generated smart contract. We analyze the authors' approach without speculation.
USC CREATE Launches Study of Threats from AI, Drones, and Weather
The CREATE Center at the University of Southern California has announced a new research initiative to assess risks associated with artificial intelligence, drones, and extreme weather events. We break down what is known and how it works.
Where AI Ends and the Human Begins: An Analysis of a Review of 27 Scientific Papers
AI literacy, reasons for using chatbots, collecting employee experience, and the boundaries of AI application — a brief analysis of a Q&A on Habr from October 30, 2026.
WebAnything: How to Automate the Assembly of Test Web Environments for Agents
A breakdown of arXiv:2610.37786v1 (October 30, 2026): the WebAnything framework automatically reconstructs websites as executable environments for training and evaluating web agents.
10 code agents, one Qwen 3.8 27B: 4x spread in tokens, zero difference in pass rate
On October 30, 2026, the second part of the code agent test on a local llama-server with Qwen 3.8 27B was published on Reddit. All agents passed 5 of 5 tasks, but median token consumption differs by 4.2x. We break down the mechanics: why pass rate stops distinguishing agents and what cache reuse actually shows.
SkillMem: a skill as a separate latent memory block — a breakdown of arXiv:2610.37935
On October 30, 2026, the paper SkillMem appeared on arXiv: reusable skills are stored as a small external latent memory and connected to a latent multi-agent system via role-conditioned cross-attention, which depends on the agent's role. I analyze the mechanics and note what is absent from the published fragment.
A Thousand AI Agents Without a Boss: What Is Known About the Agensh Experiment
On October 30, 2026, Habr published a breakdown of a Microsoft Research preprint: up to 1024 instances of a single model worked for six hours without an orchestrator. What is described, and what is missing from the numbers.
How Claude and similar services ban accounts 'for VPN' and 'for toxic passport'
On October 30, 2026, Habr analyzed a wave of Claude account blocks. What is known about the reasons, how checks on the service side are structured, and why VPN and passport usually work together.
Tiny Harbor: Qwen 3.8 Flash Next Built a 3D Island in three.js in One Pass
On October 30, 2026, r/LocalLLaMA posted a run of a local build of Qwen 3.8 Flash Next in NVFP4: the model generated a website with a 3D village on an island and a video render. We break down what was actually done, why terrain from a single height function is a smart move, and why a single run cannot be called a benchmark.
Why neural networks answer about a product in general terms: analysis and checklist
Analysis of a Habr article from October 29, 2026: how neural networks read a website, why text from a browser may not reach the robot, and what to check in page code.
Claude and Codex compiled a university ranking by Verilog and FPGA courses: what's inside
On October 30, 2026, a breakdown was published on Habr: two models in two days compiled a ranking of a hundred universities of the former USSR and California by 49 criteria from the world of Verilog, FPGA, and ASIC. We examine the mechanics: what was counted, where the data came from, and why the ranking cannot be read as a comparison of universities with each other.
How OpenAI searches for divergences in model behavior: three layers of monitoring and a replay of the Hugging Face incident
On October 29, 2026, OpenAI described an expanded monitoring system for divergences in the behavior of frontier models: what is tracked, where the blind spot was in the Hugging Face incident, and what the replay showed — an alert 30 minutes after agents left the sandbox.
Rivermark: how the agent harness benchmark for social media and print graphics is structured
On October 29, 2026, Reddit described the homemade agent harness Rivermark and a benchmark of 112 requests for social and print graphics. We break down the mechanics of the test, the three classes of input data, and why in the comparison of Claude Code + Sonnet 5.5 with DeepSeek and GLM Flash there is not a single number yet.
ChatGPT Ad Stack: Sessions, a Tool-Calling LLM, and a Separate Service
On October 23, 2026, OpenAI described how advertising in ChatGPT works: a fine-tuned LLM with tool calls, stateful sessions, and a separate ads service not connected to answer generation.
RISC-V Inside Qwen 3.5 Weights: How Gated DeltaNet Became RAM for the Processor
On October 29, 2026, Habr published a translation of an analysis of Qwenputer: a 32-bit RISC-V is compiled into the weights of Qwen 3.5 4B, and its RAM is served by Gated DeltaNet layers. We examine the mechanics, checks, and boundaries of the experiment.
GPT-6.1 Terra: computer use, half the API price, and what is behind the numbers
On October 26, 2026, OpenAI introduced GPT-6.1 Terra — a model with an emphasis on computer use and visual reasoning. We examine what it does, how the results were measured, and where the announcement lacks data.
Kimi K3.1 Pro: weights promised by November 4, price held at GPT-6.1 Sol level
Moonshot released Kimi K3.1 Pro in the API on October 23, 2026. There are no weights yet; there is a price of $2/$10 per million tokens, a score of 55 at Artificial Analysis, and a Highspeed version at twice the price. We break down what of this is verifiable.
AI is always on your side: the mechanics of sycophancy and why it costs teenagers more
Why chat models agree with the user instead of arguing, how this works internally, and what to do if the interlocutor never objects.
