Habr AI
AI news source. Articles are auto-selected and adapted by Hamidun News editors.
Latest publications
Yandex explained the protection of smart devices: Secure Boot, TrustZone and external researchers
Yandex showed how it builds protection for speakers, TVs and cameras with Alice: from hardware chain of trust and Secure Boot to TrustZone, server checks and work with external researchers.
Why Cursor Is Losing Its Uniqueness Amid Claude Code and Codex Growth in Development
Cursor continues to grow rapidly, but as Claude Code and Codex enter IDE and terminal, the market is shifting: a separate AI editor is no longer an obviously necessary layer for developers.
Habr AI compared AI rewriters: many services proved to be ChatGPT wrappers
Habr AI analyzed 24 rewriting services and revealed that cheap SEO-synonymizers remain viable for uniqueness, while editorial quality today comes from LLMs and multi-agent pipelines.
DeepSeek-V4-Pro Compressed 50x, Now Runs on a Free Kaggle T4
An experimental project shows that DeepSeek-V4-Pro's 1.6 trillion parameters can be compressed via SVD, sharded, and deployed on a free Kaggle instance with NVIDIA T4.
Claude Code and Subagents Cut Legacy Project Rewrite from Three Months to One Week
The author compared two Go project refactorings of equal scale and demonstrated how Claude Code, subagents, and BDD reduced the work from three months to one week.
Lina Bessonova Presented Russian Cognitive Architecture as Alternative to Transformers
Lina Bessonova proposes considering sovereign AI not as a local version of transformers, but as a new biomimetic architecture capable of operating without large GPU clusters.
How Gemini drove the AI blog into mode collapse and forced a rebuild of the topic generator
In the AI blog's Friday column, the Gemini-based topic generator returned the same controversial AI question for a month straight, until the team replaced the open prompt with strict topic rotation.
"First Form" Explained Why Corporate AI Agents Need an Agent Loop
According to "First Form," corporate AI agents cannot rely on a single tool call. They need a cycle of planning, verification, step correction, and security control.
Russian companies are shifting to systematic security for AI agents instead of point checks
Russian businesses are increasingly deploying LLMs and coding agents, so their security should be built not through analyzing each new tool, but through unified access policies, isolation, and monitoring.
Koda Showed How It Trained Next Edit Suggestions Model for Code Edit Prediction
Koda described how it built a Next Edit Suggestions model that predicts not the next token, but the next code change based on the history of recent edits.
AMI Labs Bets on World Models Beyond LLM and Sees Path to Products Through VLA
AMI Labs proposes building AI not around text, but around predicting the physical world: through latent representations, JEPA approach, and integration with VLA for action.
Large Companies Are Creating a CAIO Position: Why Business Needs an AI Director by 2030
Big business is preparing to establish AI as a separate area of responsibility: by 2030, a CAIO role responsible for strategy, risks, and business impact may become entrenched in top management.
Anthropic Claude Code Compared to a Junior Developer: 5 Rules for Production
The creator of a production price-monitoring system describes how Claude Code accelerates development, but without TDD, documentation, regression tracking, and manual code review, it quickly breaks architecture.
Cursor on Claude Opus deleted PocketOS database on Railway in 9 seconds along with backups
PocketOS founder described how Cursor agent on Claude Opus 4.6 deleted the production database on Railway along with backups, exposing risks of AI automation.
Claude Code and Cursor: how context engineering turns AI memory into a working tool
The analysis shows how rule files, global settings, auto-memory, and MCP transform forgetful AI assistants like Claude Code and Cursor into a more stable development tool.
The Price of Intelligence: How Elon Musk's Mega Data Center Is Changing Memphis's Ecology
Artificial intelligence smells like soot and asphalt. We reveal how xAI's mega data center in Memphis, requiring the energy of an entire metropolis, exposes the real ecological cost of AI training.
OpenAI's Ad Compromise: Why ChatGPT Monetization Won't Cover Billion-Dollar Losses
OpenAI has begun implementing targeted advertising in ChatGPT, hoping to earn billions. But analytics show that this desperate move is unlikely to cover the company's colossal losses.
The End of AI Isolation: How Model Context Protocol Connects AI to Reality
Language models are no longer locked in a text vacuum. We break down how the MCP standard gives neural networks secure access to files, databases, and external APIs without unnecessary magic.
Kaggle Under Google DeepMind Launches Benchmarks SDK for Comparing Large AI Models
Kaggle changed its slogan and focus: under Google DeepMind's management, the platform launched Benchmarks SDK — infrastructure for standardized testing of AI models.
OpenClaw Outpaced Linux in GitHub Growth: Why Engineering Scaffolding Matters More Than the Model
Chief AI Architect Andrey Nosov explained how Kafka, Pydantic schemas, and Human-in-the-Loop transform unpredictable LLMs into reliable production systems.
Claude Opus 4.6 discovered a 23-year-old vulnerability in the Linux kernel over a weekend
Researcher Nicholas Carlini ran a simple Bash script with Claude Opus 4.6 — and the model discovered a critical flaw in the Linux file system that had existed since 2003.
Why SEO Won't Die—And What's Really Behind the Trendy GEO
Marketers are panicking: LLMs are stealing traffic, links don't convert. We break down why SEO isn't going anywhere and where every GEO article gets it wrong.
Testing Pyramid as a Task Decomposition Tool for AI-Agents in QA Assist
Mikhail Fedorov explains why the classic testing pyramid became a key architectural solution in the QA Assist system of 11 AI-agents.
LangChain Loses Reasoning Content in CoT Models: How to Fix the LLM Provider Bug
LangChain chat classes fail to preserve the reasoning block when working with Chain-of-Thought models—users wait silently while developers are forced to fix it manually.
AIRI Researcher on EACL 2026 in Morocco: A Computer Vision Specialist's Perspective on the NLP World
Andrey Moskalenko from AIRI's FusionBrain laboratory attended EACL 2026 for the first time, a conference that made history by being held in Africa for the first time — in Marrakech.
How a product manager can assess AI product quality: a guide to evals
Anthropic and OpenAI executives call evals the key skill for product managers — a podcast with researchers lays out a step-by-step process for evaluating an AI product.
The 12 best LLMs in 2026: comparing Claude, ChatGPT, Gemini, DeepSeek, and Grok
An honest breakdown of 12 current language models in 2026 — from ChatGPT 5.4 to DeepSeek v3.2 — with benchmarks, real-world scenarios, and an answer to the question of which model to choose for your task.
Gemini and semantic search: AI matches furniture to blueprints with 87% accuracy
Russian developers built a Gemini-based AI system that automates furniture selection from architectural drawings — recommendation accuracy reaches 87%.
How Gemini helps a non-programmer handle small-business IT tasks without freelancers
A manager without a technical background explains how Gemini replaced expensive contractors for routine IT tasks — and why that changes the economics of small businesses.
Raft’s AI КОМП-АС framework: how to avoid mistakes when choosing the architecture of an AI solution
The Raft team breaks down section ‘A’ of the AI КОМП-АС framework — an architecture and product design methodology that reduces the risk of choosing the wrong direction before development begins.