Habr AI
AI news source. Articles are auto-selected and adapted by Hamidun News editors.
Latest publications
Lyapunov Against the System: How Forbidden Cybernetics Was Developed in the USSR
In 1954, mathematician Alexei Lyapunov opened a cybernetics seminar at Moscow State University when it was branded a reactionary pseudoscience. His courage helped save the ideas that became the foundation of modern AI.
Anthropic exposes G20 banks’ vulnerabilities, Meta invests 130 billion in AI
Anthropic held a briefing for the Bank of England and showed how Claude finds thousands of critical flaws in banking infrastructure. At the same time, Meta is investing 125-145 billion in AI and cutting its workforce by
Three AI models instead of BI tables: how to analyze product profitability on Ozon
Sellers on Ozon have been losing money for years because they cannot see the real profit for each product. SKUmind uses three AI models instead of traditional BI rules to show the true margin and suggest what to do.
Google completely redesigned Gemini: thinking levels instead of Thinking model
Google has completely redesigned Gemini. Both the web version and the mobile app have been updated—new interface, built-in thinking depth modes, a new lightweight Flash Lite model.
Why bots based on protected LLMs are frequently hacked: analysis of 14,000 GPTs
It turns out that even if the base LLM model is protected from attacks, a custom bot built on it can be vulnerable. Analysis of 14,904 GPTs revealed where exactly security gaps appear.
RAG in enterprise: why 80% of problems are in data, not in the model
A RAG prototype is built in a week and demonstrated. It looks magical: the model answers questions about your documents without hallucinating from general knowledge.
ICLR 2026 in Rio: What Researchers Think About Scaling Large Models
ICLR 2026 took place in Rio de Janeiro in late April and confirmed its status as the premier annual gathering of AI researchers.
Why AGI benchmarks will never be objective
Researchers are trying to develop tests for strong AI, but they face a fundamental problem: even human intelligence has 70+ definitions, and scientists do not agree on what consciousness in neural networks is.
Designer equated AI agents with medical intermediaries rather than with users
This week on Habr, a discussion unfolded about who should be considered AI agents in interface design.
How to Create a Fully-Functional AI Agent in 10 Steps: A Guide for Russian Business
AI agents are neural networks assembled into working systems capable of independently performing repetitive tasks.
LLMs struggle with unsafe Rust: six months of testing revealed critical errors
For six months, a researcher had language models write unsafe Rust and found seven categories of recurring errors — from aliasing to memory issues.
MTS launched Methan: AI for data search in a catalog of 500 thousand tables
MTS has created a system called Metan — an intelligent assistant that helps analysts find the necessary data in a corporate catalog of 500 thousand tables simply by asking a question in Russian.
Yandex Music is one-third AI-generated tracks — investigation results
Yandex Music faced an uncontrollable flood of AI tracks. Investigation results showed that the platform has essentially lost the ability to distinguish human music from AI-generated content, and this…
How Google Cloud Protects Systems from AI Agents: Agent Gateway
A developer from the startup PocketOS gave an AI agent based on Claude Opus 4.6 a task. The agent executed it literally — in 9 seconds, it deleted the entire company database along with backups.
AI agent at the medical assistance desk: how Sovcombank automates complex calls
How the insurer integrated an LLM into client call processing, where errors can be costly and resolution speed is critical.
Tested Popular GPT Shortcuts: What Works in Real Tasks
When you work with GPT every day, the first thing you want to do is speed up the process. For this, people invented shortcuts: short commands like EL5 or /BULLET that suggest to the model a style and…
Agent Development: What Strategies Actually Work with AI
Manual coding is inefficient — no one doubts that anymore. But agent-driven development is not a universal solution: there are optimal and suboptimal ways of working with neural networks.
Pollux by Sber AI: an LLM judge for evaluating Russian-language models
Sber AI has opened access to Pollux, a specialized model for automatically evaluating the quality of language models in Russian before deployment to production.
Software Development Is Not Coding: Why AI Solves the Wrong Problem
Software development is not simply writing code. AI solves this narrow task well, but the entire engineering process consists of dozens of other problems that machines cannot handle.
How to Get Into ChatGPT Answers: New SEO for Business
A client asked web consultant Dmitry, 12 years in the industry: help, I want ChatGPT to show our company at the top when someone searches in our category.
Three rules for development with an AI assistant: from requirements to maintainable code
Developers have long been afraid to hand over their code to an AI assistant. The fear makes sense: an assistant can violate requirements, break legacy code, or write unmaintainable solutions.
OTUS launches open lessons on AI agents, Kubernetes and Go in May
OTUS is preparing an intensive block of open lessons for May 18–28. Over 10 days, you can participate in 9 different tracks — from Kubernetes to AI-agents — and understand which topics to explore in…
Spring Agent Toolkit: effective tools for managing AI agents
AI agents are rapidly moving from the category of experiments into production systems, where every penny spent on tokens matters.
Codex: when an AI assistant becomes a universal work tool
A developer shares how Codex allows stepping beyond programming and automating a wide variety of work tasks. This became possible thanks to tool updates that made it a truly universal assistant.
MAX messenger launched AI Hub: 10 models and 5,900 users in 54 days
The team integrated 10+ AI models into the MAX messenger in just two months: already 5,900+ users and an operational premium subscription via YooKassa.
Robot with Google LLM: how a 270M-parameter model was trained to control movement
An engineer integrated a compact Google language model into a tracked robot and trained it in simulation to independently grasp items, manipulate objects, and move through space — an example of the successful use of comp
Perplexity in court over content: the four founders behind the $21 billion scandal
AI search engine Perplexity is valued at $21 billion, but has already been hit with lawsuits from The New York Times and the BBC — the company is accused of copying content without a license.
LEGO Education abandons its own platform and introduces AI and NFC cards
LEGO Education is reshaping STEM education: abandoning its own platform, reducing the emphasis on programming, and introducing AI assistants and control via NFC cards.
Why GPT gets letter counts wrong: the secret of tokenization
When processing text, LLMs use tokens rather than letters — and that explains why neural networks make mistakes in simple character counts within words.
Chrome automatically downloads a 4 GB AI model without user consent
By default, Chrome downloads the 4 GB local AI model Gemini Nano without asking the user. Estimates suggest that a single rollout to one billion devices results in 6,000-60,000 tons of CO2.