Habr AI
AI news source. Articles are auto-selected and adapted by Hamidun News editors.
Latest publications
Emergence AI launched 5 AI civilizations: Claude built a utopia, Grok died in 4 days
Emergence AI company created five virtual cities managed by Claude, Gemini, Grok and GPT — and observed how AI agents evolved over 15 days.
ChatGPT Marketing Strategy in 20 Minutes: Real Prompts and Error Breakdown
Habr broke down why ChatGPT outputs fluff instead of strategy — and showed a workflow with real prompts, a case study, and an honest list of where AI falls short.
Code agents: subscription vs API — pricing breakdown for custom harnesses
A Coddy Agent developer compared Claude Max, Cursor, Windsurf, and Copilot subscriptions against direct API — which is more cost-effective and what works for embedding in your own agent pipeline.
Neuro-punk: decentralized AI beyond corporate control
A Habr essay urges ML researchers and hardware engineers to become "neuro-punks" — to build AI independent of corporations and states while it's still possible.
Claude Fable 5 lasted three days: system prompt breach, degradation, and US directive
Anthropic released Claude Fable 5, but withdrew access three days later — after a system prompt leak, a response degradation scandal, and US government intervention.
MCP Server for Obsidian: How to Connect Your Personal Knowledge Base to Any LLM
A developer created the obsidian-agent MCP server, which connects an Obsidian vault to any LLM client and gives the language model direct access to personal notes without manual copying.
Why ChatGPT Forgets: Explaining the Context Window of Language Models
We explain what a context window is in language models and why ChatGPT begins to 'forget' task details after a long conversation — this is an architectural limitation, not a bug.
Anthropic on AI Agents in Cybersecurity: Capabilities and Pitfalls
Anthropic published research on the application of AI agents in cybersecurity — developer Edgar Sipki analyzed the document and asked difficult questions about their actual reliability.
Claude Code Launched Agent Team Mode: A Team of AI Agents Instead of One
The experimental Agent Team mode in Claude Code launches multiple independent agents in parallel: each breaks down tasks from a shared list and communicates with colleagues.
An engineer dictated a diary to an AI agent for four months — and realized memory matters more than the model
A developer built a voice diary system using faster-whisper and Telegram, but the main discovery proved surprising: reliable memory is more important than language model power.
A Single Suffix Breaks Any LLM: Researchers Found One Universal Refusal Vector
Different adversarial attacks on LLMs — GCG and AutoDAN — turned out to be two paths to the same place: a single refusal vector that controls the entire model's security.
Developer Turns Prompt Into Full-Fledged RPG: Locations, NPCs, Music, and Combat From Neural Networks
A funded team has relaunched an RPG game neural generator project: now a single prompt produces a turn-based game with locations, NPCs, storyline, voice acting, and combat.
Anthropic released Fable 5 and secret Mythos 5 without safety filters — via Project Glasswing
A week after Dario Amodei's warnings about AI dangers, Anthropic released Fable 5 and its version without safety classifier — invitation-only.
Blind Sages and AI: Why Engineers, Scientists, and Users See Different Elephants
An ancient parable about blind sages and an elephant best captures why different specialists fundamentally understand artificial intelligence in such different ways.
Developer curates daily digest of Habr articles on agent-driven development
Since April 2026, a developer has been daily selecting the best Habr articles on agent-driven development from the AI, Java, Python, and testing hubs — and sharing an open digest.
Why developers argue about AI-agent memory: technique or philosophy?
A discussion of an article about SQLite memory for AI agents escalated into a philosophical debate: what does it mean to 'remember' for an agent and does it need continuous identity?
How an AI agent organized a photo archive of 36,000 images and emails from 2005 in one evening
A developer shared on Habr how he automated processing of a 20-year-old photo archive containing 36,000 files totaling 222 GB in a single evening using an AI agent running on local models.
Why AI Detects Threats in Industrial Networks Where Antivirus Fails
AI and ML are fundamentally changing how industrial control systems are protected: replacing outdated antivirus signatures with real-time behavioral analysis of anomalies in OT environments.
How to Optimize Work with Claude Fable 5: Anthropic's Tips
Anthropic shared two key recommendations for using the Fable 5 model in production applications.
How AI code review works in 2026 and what errors it actually catches
AI code review has evolved from a niche tool into a standard practice in development teams. Models already find missing tests, typical vulnerabilities like SQL injections, and even questionable…
Biology Meets Silicon: Neural Networks of Non-Traditional Computing
Neural networks in laboratories are increasingly inspired by biology—from molecular computers to neuromorphic chips. Researchers seek nature's answers to AGI challenges.
Telegram Bot with RAG Without Vector Databases: Example on Cloudflare Workers
A developer demonstrated building a Telegram bot with RAG-powered knowledge search without vector databases or expensive infrastructure, using the Jaccard algorithm, Groq API, and Cloudflare Workers.
Prompt Converter: How a Skill Turns an Idea into Ready-Made Instructions for AI
A developer created an open-source skill that automatically generates proper prompts for Claude, GPT, Gemini, and DeepSeek directly from a task description.
Running Claude Code and Fable 5 from Russia: New Ways to Bypass Restrictions
Anthropic updated Claude Code and Fable, but the tools stopped working from Russia. Developers found ways to overcome restrictions through VPS and local servers.
MITRE ATLAS: Protecting AI and ML Systems from New Cyber Threats
MITRE ATLAS helps organizations protect AI systems from growing threats by offering a structured approach to attack modeling and defense through four key elements.
A Year Later: Qwen3 Still Holds the Price/Quality Crown — LLM Model Battletest
Qwen3-235B from July 2025 once again tops the price/quality ratio. A year on, competitors like Gemini and DeepSeek failed to surpass it.
How Content AI Built an AI Code Reviewer That Catches Small Bugs
Content AI embedded an AI code reviewer into GitHub to catch small bugs and forgotten edge cases — and shared initial findings.
Infrastructure Before Model: How Business Rethinks Its Approach to AI
A company faced hardware constraints when developing an AI agent and devised an AI-ready module — infrastructure prepared for AI before selecting a specific model.
LLM Writes, Code Works, Nobody Understands: Why This Happens
The code works and tests pass, but reading it is impossible. The problem isn't poor LLM training, but a collision of two completely different ways of thinking between humans and models.
Vector search without brute force: how IVF and HNSW work
Habr analyzed two key vector search algorithms — IVF and HNSW, which allow finding similar embeddings in milliseconds instead of seconds and form the basis of vector databases.