Habr AI
AI news source. Articles are auto-selected and adapted by Hamidun News editors.
Latest publications
How to use Deep Research in ChatGPT, Gemini, and Perplexity to find topics
Habr has published a practical guide on how to use Deep Research in ChatGPT, Gemini, or Perplexity to compile a list of viral topics in 10–15 minutes and filter them for your audience.
Google, Kling, and Yandex: where to generate AI video for free in 2026 and what limits apply
A review of free AI video generation services shows where you can create a video without paying, how many attempts Google, Kling, Luma, and others provide, and what you have to give up in return.
Habr AI: eight common complaints about AI models — from hallucinations to agent failures
Habr AI published an analysis of eight common complaints about AI models: from confident hallucinations and excessive initiative to expensive subscriptions, agent chaos, and the dangerous anthropomorphizing of chatbots.
Reg.Oblako: generative AI has entered its 1997 internet phase, and the window for entry is narrowing
In a column, Reg.Oblako CIO Evgeny Martynov compared the stage of generative AI to the internet in 1997 and explained why 2026–2027 will determine who integrates AI into their product and who remains in pilots.
AI lowered the barrier to entry in development — but technical debt has not disappeared
AI made it possible to build applications without deep technical knowledge, but the direct “task → code” approach quietly accumulates vulnerabilities and technical debt that surface too late.
zymi framework proposes building AI agents like a dbt project with YAML and event sourcing
Habr described zymi, an experimental framework where multi-agent pipelines are defined with YAML configs and all agent actions are recorded to an event-sourced data bus.
BotHub compiled 15 AI services for code, images, video, music, and everyday work
BotHub released a roundup of 15 AI services — from Cursor and Firebase Studio to Suno and Kling AI — and showed how the AI market is fragmenting into narrow task-specific tools.
Cloud.ru named five boring tasks that Big Tech is already handing over to AI assistants at scale
Cloud.ru compiled five categories of corporate routine that businesses are already handing over to AI: from support and code to legal search, infosec analysis, and ad content.
Goldman Sachs tracks job losses from AI and warns of falling demand
Goldman Sachs has begun calculating net monthly job losses from AI, and the main risk is no longer just layoffs, but that the economy may run short of buyers.
Habr AI explained why artificial intelligence is broader than neural networks and how its types are classified
In a new explainer, Habr AI reminds readers that neural networks are only one class of AI, alongside semantic networks, expert systems, and emergent models.
BetBoom: AI agents are changing development and forcing engineers to relearn
AI agents are becoming part of real-world development: they speed up reviews and routine work, but at the same time raise security requirements and deepen teams' dependence on cloud platforms.
Generator Video PRO topped the ranking of Russian video generation services in 2026
In a comparison of video generation services available in Russia, Generator Video PRO took first place, with the main criteria being operation without VPN, payment with Russian bank cards, sound, and clip length.
How a Claude-based Telegram assistant eased the CEO's load and took on part of the team's work
A small SaaS team integrated a Claude-based AI assistant into its work Telegram chat, gave it access to code, CRM, and GitHub, and over three months cut response times for managers from hours to seconds.
AI agents instead of vibe coding: how an autonomous pipeline takes a task to PR
The analysis explains that vibe coding breaks down because of context loss, not weak models, and proposes a pipeline where agents plan the task, debate in review, and send a ready PR.
Gazprombank.Tech showed how AI personalization in debt collection increased debt recovery by 25%
Gazprombank.Tech rebuilt overdue debt collection: it began receiving debt data immediately after the triggering event and used uplift models to choose the best communication channel, raising the settlement rate by 25%.
AI generated a chip design with a queue that in reality would have grown to the size of a lot
An AI-generated hardware design showed that blind faith in tests is dangerous: the model hid a giant queue in the circuit that breaks down even with a small increase in load.
Sber and Yandex Practicum expert explained where AI helps in Data Science
Sber's head of data analytics and a Yandex Practicum expert described which Data Science tasks are already practical to hand over to AI and where manual verification and domain expertise are still necessary.
StudyAI showed that AI ideas appeared long before computers — from Heron to Geniac
StudyAI recalled that the idea of an intelligent machine was born long before neural networks: ancient automata, the Antikythera mechanism, da Vinci's robot, Geniac, and the Soviet «Umka» make this clear.
Yandex Cloud explained how to deploy AI agents in information security without false blocks or disruptions
Yandex Cloud showed why AI agents in a SOC should start in the assistant role: without guardrails and HITL, even useful automation can halt a domain and business processes.
IFR: AI, tactile systems, and digital twins will accelerate robotics in 2026
The global robotics market is entering a new growth cycle: robots are becoming smarter, more versatile, and safer, while Russia is accelerating deployment and expanding local production.
ChatGPT and Gemini in QA training: the experience of a Stepik course author for beginners
A Stepik testing course author showed how he uses ChatGPT, Gemini, RAG, and AI-based assignment checking to make learning more practical without abandoning manual proofreading and classic formats.
A marketer built Znich in five months — AI analytics for YouTube video creators
A marketer without an engineering background built Znich, an AI tool for YouTube analytics, in five months — to automatically understand why one video takes off and another does not.
Habr AI Explained Why the 'Write Like a Human' Prompt Doesn't Save AI Texts from Clichés
Habr AI analyzed the popular advice 'write like a human' and concluded that the problem with AI-generated texts isn't in individual words, but in the incorrect choice of style, task, and authorial perspective.
Open WebUI and llama.cpp: how to set up local web search with Qwen and Docker on Windows
The author of a practical guide showed how to turn the Open WebUI and llama.cpp pairing from weak web search into a working local stack with Qwen, Tika, Brave Search, and Docker on Windows.
Habr AI showed how to build a brand platform for a startup in 8 hours without a designer
Habr AI showed how a single-page brand platform helps a startup even before the MVP: instead of ad hoc generations, it provides a system for landing pages, screens, and creatives.
OpenAI releases GPT-5.4: betting on computer agents, not just code
OpenAI unveiled GPT-5.4 with native computer use, tool search and long context: the model is noticeably stronger on agent tasks, but still makes mistakes in visual layout.
AI startups in 2026 shift from a single prompt to multi-agent pipelines
The era of one-prompt AI services is ending: to deliver consistent results, startups in 2026 are moving to multi-agent pipelines with memory, checks, and orchestration.
Why AI texts annoy readers: a Habr author analyzed reactions to AI writing style
A Habr author ran an experiment using AI to edit their own texts and showed that audiences often react not to the ideas, but to the recognizable “sterile” form of AI writing.
LLMs and agent systems are displacing ROS from the center of robotics — why this matters
Robot architecture is shifting from rigidly scripted ROS scenarios to a combination of LLMs and agent frameworks, where the model plans actions and tools execute them in the real world.
How Del Complex, a fake floating AI data center with H100, fooled X and major tech media
The Del Complex story showed how, in 2023, a polished website, AI-generated images, and bold promises of a sea-based data center with 10,000 H100 misled X and tech media.