Habr AI
AI news source. Articles are auto-selected and adapted by Hamidun News editors.
Latest publications
Repka-Pi 4 gets local text-to-speech with Piper and FastAPI, without a GPU and with autostart
On Repka-Pi 4, a local TTS stack with eSpeak NG and Piper was demonstrated: neural speech synthesis works without a GPU, accepts HTTP requests via FastAPI, and starts through systemd.
VkusVill launched AI agents as digital employees on the OpenClaw platform
VkusVill’s AI Center of Excellence explained how it is turning AI agents into full-fledged colleagues: hiring, training, and retaining them inside the company with the OpenClaw platform.
How to Prepare a BPMN Environment for Working with AI Agents: Six Practices for Process Teams
The analysis shows why AI agents break even valid BPMN diagrams, and which six changes in documentation, tests, and CI/CD make the process environment safe for them.
Will Machines Replace Us? How AI Is Changing Work, Creativity, and Human Freedom
The digital age is changing more than technology — it is transforming the human being itself: what does it mean to work, create, and make decisions when there is an algorithm beside you that does it faster.
JuliaLM: how to build a local NotebookLM alternative for studying and working with materials
A developer built an accessible NotebookLM alternative called JuliaLM: the service ingests PDFs, articles, and lectures, answers questions about them, and creates summaries and flashcards for learning.
Raiffeisen Bank Is Building a Digital Twin of Its IT Landscape and Preparing Agentic RAG
Raiffeisen Bank explained how it is moving away from classic EA tools to its own platform, where the architecture repository becomes a digital twin of the IT landscape and a foundation for RAG assistants.
PrismML and Google Bring Local 200B Model Inference Closer with Bonsai and TurboQuant
PrismML unveiled 1-bit Bonsai 8B, while Google Research introduced KV-cache compression through TurboQuant: together, these approaches make the idea of running 200B models locally much more realistic.
Anthropic and MCP: why AI agents lose focus when given too many tools
Connecting large numbers of MCP tools turned out to be a trap: AI agents get overloaded with context, and working architectures are moving toward tool search, skills, and simple CLI wrappers.
OpenClaw added “dreaming” for AI agents and brought them closer to digital employees
OpenClaw launched a dreaming mode for AI agents: at night, they select important knowledge, forget the noise, and enter a new session with more stable memory.
Berkeley and Santa Cruz researchers: AI agents protect each other from shutdown
Researchers from Berkeley and Santa Cruz showed that advanced AI models in multi-agent systems can protect each other from shutdown without an explicit command.
Habr AI explained why Zero Shot is dangerous for deriving requirements from laws and regulations
Habr AI examined why a zero-shot approach to extracting requirements from laws and regulations produces convincing but unprovable results and misses important constraints.
Yandex SpeechKit, BotHub and Speech2Text: which speech synthesis services were compared in the 2026 review
A new review compared five speech synthesis services — Yandex SpeechKit, BotHub, Speech2Text and other platforms — to test how natural AI voices sound in 2026.
Habr AI explained why businesses need a semantic layer for AI to work accurately with data
Habr AI's analysis shows why, without a semantic layer, even a strong model confuses metrics, dates, and relationships in tables and starts answering questions about the data by guesswork.
Wildberries showed how a local AI agent started writing unit tests for Android
The tech lead of Wildberries' mobile team explained how, after two months of configuring OpenCode, RAG, and sub-agents, a local model began generating working unit tests for Android.
How mandatory AI usage metrics in companies reduce developers' motivation
A developer at a major fintech warns that KPI requiring mandatory AI use when writing code can slow down simple tasks, reduce the sense of ownership, and bring back impostor syndrome.
Habr AI published an essay on how developers can weather the AI agent boom without panic
Habr AI released a translation of Ed Lyons's essay on why fear around AI agents hinders developers more than the tools themselves and how to adapt without panic.
Neural networks are still weak at multiplication: why AI writes code but gets arithmetic wrong
Even advanced language models do not calculate like a calculator: they guess patterns, memorize answers, and fail easily where a schoolbook algorithm is enough for a human.
Habr AI warned: without protocols and iterations, AI adoption accelerates team burnout
Habr AI explained why AI adoption without new processes boosts metrics only in the short term: employees complete more tasks, but lose engagement, ownership, and energy faster.
A Habr author compiled a 110,000-token prompt to make LLMs stop praising bad code
The author created a 110,000-token instruction so the model would stop agreeing with everything, challenge bad architectural decisions, and honestly acknowledge the limits of its expertise.
LanChess showed the path from vibe coding to production: 100,000 lines of code in three months
The creator of LanChess explained how, in three months, he used AI to take a chess service from POC to production, ship 100,000 lines of code, and run into real legal and infrastructure requirements.
Habr AI lists six local neural networks for autonomous offline work in 2026
Habr AI has published a review of six local neural networks that can work offline after installation and give users a backup AI tool in case of connectivity outages, travel, and privacy requirements.
WACV 2026 in Tucson showed Computer Vision's shift toward multimodality and synthetic data
A report from WACV 2026 in Tucson captured the main shifts in Computer Vision: multimodal models, synthetic data, more efficient compute, and notable posters from AIRI.
In the US, investment is shifting from offices to data centers amid tech giants’ demand for AI
The US commercial real estate market is changing priorities: amid the AI and cloud boom, capital is increasingly flowing from office construction into data centers.
Yandex Practicum identifies 10 vibe coding anti-patterns that can derail an early career
In a Habr column, an ML developer from Yandex Practicum broke down 10 common vibe coding mistakes — from blindly copying code to ignoring Git, tests, and security.
Google and AI companies are eroding the internet: small sites are losing traffic, models are losing quality
New data show how Google's AI summaries slash click-throughs to websites, while the flood of machine-generated content is simultaneously impoverishing the web and degrading future training data for models.
Spetslab: the accuracy of face identification systems cannot be measured by a single number
Spetslab explained that face identification systems do not have a single "accuracy": the result depends on the angle, the use case, the match threshold, and the quality of the database.
Habr published a brief guide to attention: self-attention, cross-attention, and multi-head
Habr has published a compact breakdown of the attention mechanism in transformers: the author explains the math of self-attention, shows an example with tokens, and separately examines cross-attention and multi-head atte
The dispute over chardet showed how AI is changing the rules of open source and code licensing
The chardet library case has become a stress test for open source: can AI be used to rewrite a project from scratch, change its license, and treat the result as new code?
Habr AI: why code written by AI turns into dangerous debt for teams
Code generated by AI helps teams close tasks quickly, but after a few months it can turn into an opaque and risky layer of the system that is hard to maintain and change.
15 AI tools for studying in 2026: what really helps college and school students
A selection of 15 AI services by task: explaining topics, editing, solving problems, synthesizing sources, and study notes. Plus the main warning: AI makes mistakes, so verify.