Habr AI
AI news source. Articles are auto-selected and adapted by Hamidun News editors.
Latest publications
Generative AI puts copyright and the very idea of intellectual property into question
The latest turn in the dispute around generative AI is no longer limited to the content market: the technology blurs the role of the author and forces a rethink of the very logic of copyright.
BHV adapted a book on Python and ChatGPT: from architecture to CI/CD and hardware integration
BHV released a Russian adaptation of a book on Python development with AI: instead of a set of prompts, it offers a methodology, an end-to-end Raspberry Pi project, and an honest look at ChatGPT's limitations.
Habr: according to Yandex Wordstat data, demand for "AI agents" trails bots and services
Habr published a column on the gap between the hype around AI agents and real demand: users search for bots, stores, and payments, not architectural terms.
Why artificial intelligence will not replace doctors and scientists, but become a tool in their work
An author with 15 years of experience in pharma explains why neural networks will not replace doctors and scientists, but are already useful for diagnostics, data analysis, and hypothesis generation.
Piter Publishing released a book on GraphRAG and advanced RAG on knowledge graphs
Piter Publishing introduced a book on GraphRAG — an approach that combines knowledge graphs and vector search to make RAG systems more accurate and useful in real-world tasks.
Apple showed how the @Generable and @Guide macros in FoundationModels simplify Swift development
In Apple’s FoundationModels framework, the @Generable and @Guide macros make it possible to describe data structures in Swift and receive pre-filled typed objects from a language model.
Apple unveils Foundation Models: how to embed local AI into SwiftUI apps
Apple has released Foundation Models, a framework for local AI in SwiftUI apps that runs directly on the device, preserves privacy, and removes cloud costs.
Why artificial intelligence triggers old fears — from witches to algorithms
The analysis shows that anxiety around artificial intelligence follows the same pattern as fear of witches, the plague, and machines: society first demonizes what it does not understand, then learns to live with it.
Habr AI: how a working no-code AI prototype raised questions about developers' future
In a Habr AI column, the author describes the moment when a product manager with no programming skills built a working prototype using AI and explains why this is already changing the developer's role.
Contextual amnesia: why AI agents in 2026 forget everything they knew yesterday
In 2026, AI agents work like senior developers, but each new session starts from a blank slate — with no memory of decisions, mistakes, or the project's architecture.
Cursor sped up development 10x and left a financial company with a million lines to review
After adopting Cursor, one financial company increased its code output tenfold, but along with the speed it also accumulated a million lines awaiting review, a rise in vulnerabilities, and stress across the team.
Claude Opus helped a business analyst launch two apps in two weeks without a team
The author of the experiment, with no programming experience, built a time tracker and a game for RuStore in Flutter in two weeks, and called Claude Opus the best assistant in development.
Yandex SpeechKit and CosyVoice compared on voice bot and audio podcast tasks
In a new review, Raft’s author examined how the open-source CosyVoice and the proprietary Yandex SpeechKit perform in two applied scenarios: a realtime bot handling abbreviations and narration of long texts.
Generative AI in software development: not a replacement for junior developers, but a new source of burnout
For two years, researchers at the AI Research Institute have been observing how developers work with generative models — and documenting not efficiency gains, but a new type of professional burnout.
Habr AI showed how to build your own RAG retriever in LangChain for names and terms
Habr AI published a practical walkthrough on how to build a custom RAG retriever with TF-IDF and LangChain for cases where vector search performs worse on names, titles, and terms.
ChatGPT instead of search: how to track brand presence in AI responses
77–85% of informational queries do not lead to clicks to websites — AI assistants provide the answers. New GEO and AEO metrics help determine whether an AI model mentions your brand.
Colleague Skill: how a Chinese project digitizes employees before dismissal
The Chinese project Colleague Skill proposes turning employees' work into training datasets for AI even before they are dismissed — and that is already a legal and ethical problem.
DeepSeek and Qwen: how China turned open models into a leap forward in the global AI race
China bet on open AI models, built its own ecosystem around them, and has already led Western startups to choose DeepSeek, Qwen, and other Chinese solutions more often.
Yandex Practicum showed where AI speeds up English course creation and where instructional designers are still needed
The Yandex Practicum team explained how it uses neural networks for texts, exercises, illustrations, and voice-over, and why final quality still depends on instructional designers.
Why latency determines AI system architecture more than model accuracy
Latency is the most underrated parameter in AI design: a smart model that responds slowly loses users faster than a less accurate but faster one.
Harry Tan and Y Combinator face criticism over a bloated 6.4 MB AI-built site
An audit of garryslist.org showed what production without review looks like: 169 requests, a 6.42 MB homepage, test files, and uncompressed PNGs on a site built in AI-sprint mode.
Kaiten and ChatGPT helped PF-FORUM cut task assignment time from 30 to 3 minutes
PF-FORUM connected Kaiten to ChatGPT via an open API, and now managers create dozens of tasks in 2–3 minutes instead of half an hour, while planning meetings have been cut to 5–10 minutes.
Why ChatGPT and other LLMs became far more powerful than simple "word prediction"
The article explains why the success of LLMs was unexpected: it is not only about scale, but also about models' self-critique, access to tools, and reasoning training.
Cambridge satire on neural networks: an article can supposedly be compressed to 50 tokens and reconstructed
Habr published a translation of a satirical text about a “Cambridge study” in which any text can supposedly be reduced to a short prompt and reconstructed with 98% semantic accuracy.
Boring Meeting for macOS adds 32 languages and faster local meeting transcription
The updated Boring Meeting app for recording online meetings on Mac now supports macOS 15, adds 32 languages, a fast large-v3 turbo mode, and noticeable UX tweaks.
Nine reasons not to rush: why AI agents are still not ready to replace your employees
Investors demand AI plans, and CEOs dream of cutting headcount. Habr analysts outlined nine systemic reasons why replacing people with AI agents is not yet working as promised.
Voicaj explained why a knowledge base in an AI product is first and foremost a trust policy
Voicaj breaks down why an internal knowledge base for an AI service is not just RAG or a mini wiki, but a set of rules that defines what the product is prepared to assert when it comes to finance, health, and education.
Google, IETF, and new protocols for AI agents: why A2A, Pilot, and OpAMP are needed
New protocols are emerging that help AI agents exchange data directly, describe their capabilities, and send telemetry without custom integrations.
Diasoft: how AI and Industry 4.0 make engineers the conductors of development
Diasoft described how AI and Industry 4.0 approaches are changing development: engineers write less code by hand and increasingly design, configure, and oversee the digital assembly line.
Peng Shao published a book on machine learning interviews with 151 questions
Author Peng Shao compiled 151 ML interview questions in one book — from basic theory and Python to system design, model evaluation, and phone screenings.