Habr AI
AI news source. Articles are auto-selected and adapted by Hamidun News editors.
Latest publications

After Jürgen Habermas's death, his ideas are again being discussed in the context of AI and media
After Jürgen Habermas's death, his ideas are again being discussed in the AI industry and the media: the concepts of the public sphere, distorted communication, and the power of algorithms precisely describe the era of s

AAF framework revealed the architecture of an autonomous AI agent with GraphRAG and a Docker sandbox
The open-source AAF project showed how to build an autonomous AI agent with hybrid memory, an event bus, and Docker isolation to reduce amnesia, looping, and code execution risks.

Why automakers still don’t warn about black ice: the role of data and machine vision
The story of a car that flipped on hidden black ice shows why even electronics-packed vehicles still do not combine cameras, road data, and risk forecasting into a single warning.

ProductSense and X5: 97% of product managers already use AI, but metrics are barely improving
Research by ProductSense and X5 among 1220 product managers found that AI has become a workplace standard, but companies still rarely embed it in processes and KPIs.

The main mistake in AI transformation: starting with tools instead of managers
Most companies deploy AI in individual departments rather than end-to-end processes — and see no business results. Brenzi suggests starting with managers.

The Russian cultural code as a test for neural networks: Shurik, panelki, and Nano Banana
A developer tested neural networks on their knowledge of post-Soviet aesthetics — panelki, Shurik, and Dr. Livesey. Nano Banana captured the “vibe” more accurately than Western models.

Raft sees a new market: integrators are offered a way to earn from AI security
Raft describes a new AI pentest market: companies are deploying AI en masse, regulators are tightening requirements, and integrators are gaining a new niche in auditing and testing such systems.

Habr AI: code generation is changing the developer’s role — less routine, more architecture
In a column for Habr AI, the author explains why mass code generation will not eliminate programmers, but will shift their work toward architecture, reading other people’s code, and debugging.

YADRO trained the KVADRA_T tablet to recognize multiple objects in a frame in 20 ms
YADRO showed how it trained the KVADRA_T tablet to recognize people, documents, text and codes in a single frame: the multi-label model achieved an F1-score of 94% and ran in 20 ms on the NPU.

Developer builds a YouTube video translation and dubbing system with Ollama
A developer decided to automate the translation and dubbing of YouTube videos using local models in Ollama, putting together a CLI, desktop interface, and repeatable pipeline for the job.

Habr AI: Context continuity could become a new efficiency layer for AI systems
Habr AI authors suggest treating context not as chat length, but as an operating mode in which AI preserves the goal, decisions, and constraints between steps and after failures.

GitHub Copilot, Cursor, and JetBrains: how lawyers assess AI in development environments
Habr has published an analysis of how GitHub Copilot, Cursor, and other AI-based tools are changing development environments: they speed up teams, but also raise questions about authorship, licensing, and code leakage.

Cursor helped build a Telegram bot for neighborhood classifieds without a single line of code
The author showed how, using Cursor and with virtually no team, he built a Telegram bot for neighborhood classifieds and did it without registration, subscriptions, or manual coding.

OpenClaw: config breakdown from first bot to multi-agent system in Telegram
A detailed breakdown of openclaw.json by section — workspace, bindings, session_policy, and heartbeat — with examples of moving from a test bot to a production configuration.

Study shows how AI autocomplete subtly shifts user opinions
A study found that AI autocomplete can subtly shift a user's opinion on controversial issues by introducing a predefined semantic slant into the text.

Fintech team launched an AI chatbot: concepts, pitfalls, and lessons from implementing GenAI
Developers at a fintech company described the path from early experiments to the production launch of a generative chatbot — and the concepts and challenges the team encountered.

AI agent for job hunting on hh.ru: vacancy monitoring and analysis in Telegram
A developer built an AI agent that monitors hh.ru on a schedule, selects relevant vacancies, and sends initial analysis to a personal chat.

Tesla hasn't run autonomous tests in California for six years, yet promises swift robotaxi launch
Tesla conducted zero autonomous test miles in California in 2025 despite Elon Musk's promise of rapid robotaxi deployment: regulators await not permits but actual company data.

SimpleOne explained why AI speeds up development but worsens code quality
The SimpleOne team described the downside of AI-assisted development: prototypes appear faster, but without architectural rules, metrics, and reviews, generated code quickly becomes a source of technical debt.

ChatGPT and Google are changing education: will AI replace tutors and teachers
ChatGPT, Photomath and Socratic are turning the AI tutor into a mass-market product, but along with convenient explanations and low-cost access they bring cheating, errors and a debate over the role of the human teacher.

2people IT CTO explained where AI in business really pays off and where companies lose money
2people IT CTO broke down which AI implementation scenarios deliver economic impact fastest—OCR, support, internal assistants, and routine IT tasks—and why process chaos kills ROI.

Habr AI: a meta-model for diagnosing neural network training detects failures from learning curves
Habr AI described a meta-classifier that uses learning curves and basic metrics to detect underfitting, overfitting, and data shift so training can be stopped earlier.

Larian and Microsoft at the center of the dispute: how neural networks are changing game development
Debates around AI in game development intensified following the cases involving The Alters, Larian, and Expedition 33, but studios use neural networks primarily for localization, prototypes, and routine tasks.

MTS Exolve showed how to automate deal data entry in Bitrix24 with YandexGPT
MTS Exolve broke down an MVP service in Python that, after a call, receives a transcript, extracts BANT fields via YandexGPT, and automatically updates an existing deal in Bitrix24.

ChatGPT helped set up a YouTube stream, but first made OBS harder to work with
The author wanted to quickly build an information banner for a YouTube stream in OBS, but ChatGPT sent him down a long path and only later suggested a more practical solution through an HTML overlay.

Vibe coding under the microscope: what static analysis finds in AI projects
PVS-Studio has begun systematically checking the code of “revolutionary” projects written using vibe coding — the first static analysis findings are predictable, but telling.

'Anna' is being developed on OpenClaw — an AI assistant for Windows with Telegram and email
The creator of the 'Anna' project showed an MVP of an AI assistant for Windows: an app with clear onboarding, Telegram, email, and background tasks for everyday users.

Project Gravity and the AI boom: how data centers divided Archbald, Pennsylvania
In the Pennsylvania town of Archbald, six AI data center campuses promise tax revenue and investment, but are already leading to evictions and disputes over water, noise, and electricity bills.

Habr AI: ontologies could become memory for LLMs, robots, and enterprise assistants
Habr AI explains why the next step after RAG should be ontological memory: it helps LLMs retain context, strengthens local models, and makes robots more useful.

Why Microsoft and Alphabet Are Driving Up Global Demand for Copper and Aluminum for AI
The boom in AI data centers and the expansion of power grids are sharply increasing demand for copper and aluminum: tech giants are investing hundreds of billions, while mining and processing cannot keep up with the pace