Habr AI
AI news source. Articles are auto-selected and adapted by Hamidun News editors.
Latest publications
2GIS's MCP Server: How to Stop LLMs From Making Up Addresses and Coordinates
2GIS has released an MCP server with six tools that connect AI agents directly to its geo-services: place search, geocoding, routes, isochrones, and static maps. The core problem: even with data access, models confidentl
October 2026 Video Model Rankings: Luma Ray 3.14 Wins on a Single Prompt for 5 Tokens
A test of 12 video models on an identical prompt (8 sec, 720p, single run): Luma Ray 3.14 scores 9.1 out of 10 while being the cheapest (5 tokens, 2-minute generation), while Seedance 2.5 is 27 times more expensive (138.
Why AI Agents Are Vulnerable to Prompt Injection — and How to Secure Them at the Architecture Level
Independent expert Andrey Biryukov explains the fundamental difference between AI systems and traditional software: in LLM agents, the control plane and data plane merge into one, making them vulnerable to injections. Se
AI Won't Replace Psychologists — But It Will Rebuild Their Workday by 2028
By 2028, artificial intelligence will be embedded in a psychologist's work not as a replacement, but as a tool for routine tasks. Help with journals, session prep, and formatting exercises — the system takes all of that
A Russian-Language Decision Model Trained on One Evening of GPU Time: What It Can Do and Where It Loses to Big LLMs
A developer on Habr fine-tuned the open Qwen3.5-4B model via LoRA to produce a specialized decision model for Russian. It picks from offered options in 60-100 ms with honest confidence calibration — its main edge over la
AI Agents: PRs Up 98%, But Review Time Slips 91%. Where the Queue Really Went
Developers using AI assistants close 98% more pull requests, but review time has grown 91%, and QA time 300%. AI sped up code generation, but review and integration throughput didn't keep pace. The bottleneck simply move
600 billion tokens later: how to manage AI agents decompiling a game
Three months of work by AI agents built on Claude, Codex, Luna, and other models — a full reconstruction of a C++ shooter. 99% of functions recovered, 83% match the original byte-for-byte. The key to success: byte-level
State of IT in 2026: Agents Wrote More Code Than Humans
In August 2026, agents opened more pull requests on GitHub than humans did. Since July, they've filed more tickets on Linear too. IDEs are disappearing, every company is building its own harness, and migrations now take
Russia Already Has 18 AI Code Agents, but 'Russian' Means Three Different Things
RuBench's census counted 18 Russian AI code agents (10 for IDE/CLI and 8 builders): from GigaCode, SourceCraft, and Kodik to T-Code, Koda, and 1C:Naparnike. We analyze the complete list, prices, and three architectures u
Eight Security Assumptions AI Agents Are Breaking: From Two Weeks to Ten Hours
AI agents have rewritten the economics of cyberattacks. Work that would take a human two weeks now takes agents ten hours. Here are eight critical security assumptions you need to drop right now.
Google teaches EmbeddingGemma 2 to understand text, images, video, and audio
Google DeepMind released the open multimodal embedding model EmbeddingGemma 2 on October 6. It converts text, code, images, video, and audio into vectors, placing them all in a unified 768-dimensional space. The first ve
What the Claude Code leak revealed about the future of Anthropic's AI agents
Anthropic accidentally published the full source code of Claude Code version 2.1.88 due to an npm configuration error. The code revealed 44 hidden flags for autonomous agents, background thinking, and a controversial mod
Claude Cowork's File Autopilot: Three Examples of Hours Saved
Claude Cowork turns hours of routine work into minutes. With direct access to local files, a single prompt lets Cowork build a plan and execute the task — from organizing folders to sorting videos and structuring receipt
Why Microsoft, OpenAI, and Anthropic Are Telling You Not to Trust Their Own AI
Microsoft's Terms of Service declares Copilot pure entertainment, OpenAI demands a human check every output, Anthropic caps its liability at £100. Tech giants are trying to inflate the AI bubble and legally shield themse
Fine-Tuning Gemma 4 with GPUs on Cloud Run: From 89% to 94% in Animal Classification
A complete breakdown of fine-tuning Gemma 4 on custom data in Google Cloud. An architecture with native support for video and audio, QLoRA quantization, and accuracy climbing from 89% to 94% on the Oxford-IIIT Pet datase
Anatomy of AI Text: How Editors Spot Articles Generated by Neural Networks
A flawless structure and zero errors no longer guarantee a job. We look at why editors are rejecting candidates' immaculate writing samples en masse, and how to spot the fingerprints of AI.
Reasoning Drift in AI: How a Model Degrades While the Service Keeps Running
Commercial AI models like Claude can quietly lose quality without ever breaking the service itself. Reasoning drift — a decline in the ability to handle multi-step reasoning — is becoming a real business problem. And pro
Three AI Inflection Points: From ChatGPT to Agents and Physical Intelligence
Jensen Huang described AI's evolution through three inflection points: generative AI, reasoning AI (the O1 model), and agentic AI. Token consumption has grown by millions of times. The next frontier is physical AI, which
Claude Mythos Is Big Tech-Only, CaveMan Cuts Token Spend Threefold
Anthropic has restricted Claude Mythos to the Project Glowswing consortium (AWS, Google, Microsoft, Nvidia, Cisco, Apple). The model hits 77.8% on SWE-bench Pro versus 53.4% for Opus and has already surfaced bugs in Linu
Altman's Shadow: How One Man's Ambitions Are Shaping the Future of AI
How Sam Altman took control of the AI industry and pushed rivals aside. Is the current path of the technology just a reflection of one person's interests?
Why Multimodal Models Can't See Web Interfaces
Multimodal models struggle with interfaces: code hides reality, and screenshots require analyzing millions of pixels. What's needed is a built-in module for understanding structure instead of code or pixels.
KodaCode rolls out agent control via Telegram and voice input
KodaCode 0.9.0 lets developers control the agent through a Telegram bot and voice input. Remote control is already available in VS Code, with both features planned for CLI and JetBrains IDEs.
The End of Openness: Meta Replaces Llama With the Closed Muse Spark Model
Meta stunned the AI community by dropping Llama in favor of the proprietary Muse Spark. The move to a closed model puts thousands of startups at risk and changes the rules of the market.
Hidden Details of Claude Opus 4.7: Trade-Offs, Tokenization and a New Personality
A look at the less obvious details of the Opus 4.7 release: why it trails its predecessor on some benchmarks, how the tokenizer changed, and why the model now argues with you more when you write code.
Automating Code Review: How Neural Networks Are Taking Over Developer Grunt Work
A team of LLM engineers automated code review using Qwen3-Coder-30B through a three-stage pipeline: issue generation, comment validation, and semantic deduplication. Processing 1,000 PRs per week, the system achieves 85%
How Automating 70% of Tasks Revealed the True Value of Human Work
An AI expert automated 70% of his routine and discovered that the remaining 30% of tasks are the real key to success.
LLM as Decoder in ASR: Adapting Nvidia's SALM Architecture for Russian-Language Telephony
Kontur adapted Nvidia's hybrid SALM architecture for Russian-language telephony and video conferencing. Instead of a classic cascade system, they used an LLM (Qwen) as the decoder paired with a FastConformer encoder. The
BCG: Half of Managers See AI Eroding Their Employees' Skills
Half of the managers BCG surveyed notice deskilling: employees are losing professional skills because of AI. A Habr author breaks down ten habits for working with AI, five harmful and five useful.
A honeypot repo with 1,774 stars: two filters for detecting malware and hallucinations
A Telegram bot sent a repo with 1,774 stars — a disguised malware trap. After auditing 321 repos from trending feeds, the author built two filters: one to detect malware, one to check DeepSeek's AI hallucinations.
Developer Puts Claude Code and Codex Agents in the MacBook Notch, at 0.5% CPU
A Habr author built a macOS app that shows Claude Code and Codex status in the MacBook notch. A glow signals a waiting agent, and each session appears as a figure in a pixel-art office.