Habr AI
AI news source. Articles are auto-selected and adapted by Hamidun News editors.
Latest publications
Prompt decomposition in Gemini and Kling: how to recreate a Pinterest visual in a brand style
Step-by-step method: break a Pinterest reference into components, rebuild it in Gemini to match the brand style, and animate it in Kling — without a designer or videographer.
Clinical review of Gemini: attention deficit, pica, and hallucinatory party
An author on Habr analyzed Gemini's behavior as a clinical case: diagnosis — attention deficit and pica, recommendations — directive guidance and hallucination verification.
AI funding bubble threatens Western bank deposits — on two fronts
A closed-door meeting of the Federal Reserve, the U.S. Treasury and bankers was held in Washington: officially, about AI-related cyber risks; in reality, about the bursting $1.8 trillion private credit bubble.
Vibe-code review: how Claude Opus writes beautiful C++ that does not work correctly
An analysis of the markus project created by Claude Opus: why beautifully written AI code can hide serious problems with quality and correctness.
How YOLO and OpenCV Learned to Parse Transport Waybills — and Why That Isn’t Enough
An analysis of the three main limitations of YOLO, OpenCV, and Hugging Face when parsing real transport waybills — and how to build logic on top of raw detector outputs.
Sediment Palace: local memory for AI agents built on a geological-layer model
A developer proposed a memory architecture for AI agents in which fresh data settles in layers like geological sediment, compacting over time.
SpeShu.AI launches feature crowdsourcing: Habr users decide what goes into the next patch
Russian neural network aggregator SpeShu.AI invited the Habr audience to influence the product directly — vote for an idea, and the team will implement it in the next patch.
Claude Code barred to minors, Qwen Code goes paid, and Opus 4.7 uses 30% more tokens
In the weekly digest: Anthropic introduces an age restriction for Claude Code, Alibaba monetizes Qwen Code, and OpenAI expands Codex into a full computer agent.
Vibe coding without AI slop: how the targetai team sped up development 12x
The targetai team shared a method for working with LLM tools that can shorten the development cycle 8–12x without quality loss or AI slop buildup.
Confessions of an AI Agent: How Memory Limits Break Neural Networks at Work
An honest account of the real problems facing AI: why models forget their tasks once the context window closes, and how 12 pixels can kill a bot.
The Illusion of Universality: Why the Same AI Skill Behaves Differently Across Models
Hundreds of ready-made AI skills on GitHub promise a smarter assistant. But one instruction run on four different models gives unpredictable results. Here is the catch.
The Illusion of Intelligence: What Popular LLM Benchmarks Actually Measure
Companies brag about high test scores, but does that mean neural networks are ready for real-world tasks? We examine 14 major benchmarks, their hidden flaws, and their actual value.
A Senior Without AI Is the New Junior: How Neural Networks Are Changing Development Standards
Refusing to use AI tools is becoming grounds for dismissal. Data shows a 19% productivity gain, and experienced developers without AI risk losing their value.
AI-Powered Anti-Spam: Gemini Flash Proves More Cost-Effective Than Russian LLMs
A hands-on comparison of the free tiers of YandexGPT, GigaChat and Gemini Flash for building an anti-spam bot. The gap in cost-effectiveness reaches a staggering factor of a thousand.
Russian AI Agent Soyuz Goes Open Source: Security Comes First
The developers of Soyuz, a desktop AI agent, have put predictability ahead of feature bloat. The project's source code is now fully open to the community.
From Hype to Practice: How to Work Neural Networks into Everyday Life
The gap between knowing about AI and actually using it remains huge. We walk through practical use cases for work, creativity and automating routine tasks.
The Age of AI;DR: Why We Are Giving Up on Reading Text Written by Neural Networks
The new term AI;DR marks the end of an era of trust in content. We now skip reading altogether, suspecting there is no living author behind the text.
The End of the ESI Illusion: How ExoLogica AI Rewrote the List of Habitable Worlds
The traditional Earth Similarity Index has proven flawed. ExoLogica AI applied the Critical Density Law to weed out false candidates and find truly habitable planets.
AI Layoffs: How Fear of Neural Networks Became a Profitable Business
Who profits from the panic over AI replacing human workers, and how tech giants and course sellers are cashing in on it.
Ultra Deep Research: How Triangulating AI Search Changes the Rules of Working with Data
We break down triangulation across Claude, ChatGPT and Gemini: why AI search returns different results in each chatbot, and how to avoid collective AI hallucinations.
The Road to Autonomy: How One AI Agent Grew Into a Digital 'Village'
An attempt to automate routine work turned into a complex system of 12 AI employees with their own infrastructure and admin panel.
The Evolution of AI Assistants: Why Existing Frameworks Fall Short of the New MicroClaw
The story behind MicroClaw, a new AI framework. Why popular solutions suffer from token overspending and data leaks, and how a custom Python approach addresses both.
The Magic of Quantization: How to Run Giant Neural Networks on an Ordinary Laptop
Modern neural networks demand terabytes of memory, but quantization is changing the rules. Here's how to shrink giant LLMs 4x to run on a laptop with almost no loss in quality.
The Evolution of SEO: How to Get Into ChatGPT and Perplexity Results
Search engines are changing the rules. Here's how to adapt your content so AI systems like ChatGPT, Perplexity and Google's AI Overviews recommend your site.
The Dark Side of AI: Why Corporations Are Really Building Neural Networks
Productivity tool or Trojan horse? We examine how leading AI companies use technology to build an exploitative corporate oligarchy.
Battle of coding titans: comparing ChatGPT, Gemini, and Claude on real-world tasks
Which tech giant currently offers the best tool for developers? We tested the flagship models from OpenAI, Google, and Anthropic on tasks of varying complexity.
Vibe coding: how AI assistants erode engineering thinking
An ML engineer with four years of experience built an app in a few days without knowing either the language or the stack. But alongside the quick result came technical debt and an unexpected shift — the willingness to so
Gemini 3.1 Flash Lite: How Google Is Changing the Affordable AI Model Market
Google has introduced Gemini 3.1 Flash Lite, the most affordable and fastest model in its lineup. We examine whether the new release can outperform rivals in real-world tests and architectural efficiency.
Who Is Responsible for AI Agent Errors: Three Models of Legal Liability
When an autonomous agent makes an error, finding the culprit becomes a legal quest. We examine three liability scenarios — from a simple tool to full system autonomy.
Autonomous agents and a “spy novel”: a new level of human-AI interaction
The story of how the OpenClaw platform and Anthropic models turned routine development into a compelling process of creating digital personalities and writing code on the fly.