Habr AI
AI news source. Articles are auto-selected and adapted by Hamidun News editors.
Latest publications
Habr AI Shows How to Build an SEO System for a Niche and Prepare Your Site for AI Search
Habr AI analyzed why LLMs don't replace SEO strategy: you must first design demand, clusters, and page types, then launch content generation.
Albumentations explained how to systematically select augmentations for computer vision models
Albumentations released a practical guide on selecting augmentations: don't gather them randomly, but test them as hypotheses about data, transformation strength, and label invariance.
MiniMax Replaces Claude API: AI Agent Costs Cut from $200 to $20
Developer migrated social media AI agent from Claude API to MiniMax and Kimi, cutting monthly model costs from $200+ to approximately $20 with no noticeable quality loss.
Habr AI Compared Claude, Gemini, and ChatGPT on Text, Math, Analysis, and Creativity
Habr AI compared ChatGPT-5.4, Claude Opus 4.6, and Gemini 3.1 Pro not on standard demos, but on unconventional tasks involving text, mathematics, analysis, and creativity.
Qdrant and DRAG with KNEE: How to Make RAG Adaptive and Avoid Wasting Extra Tokens
The author proposes DRAG with KNEE — an adaptive RAG approach based on Qdrant and Python that builds a document hierarchy and removes unnecessary context without fixed top_k.
Why the Pentagon-Anthropic conflict became a warning sign for AI business
The dispute between the US Department of Defense and Anthropic over model usage restrictions revealed a new corporate risk: AI strategy dependence on a single vendor's rules and policies.
How to Write Prompts for Midjourney, DALL-E, and Kandinsky to Get Precise Images
We break down why vague requests break image generation and how prompt structure, word weights, negative instructions, and settings deliver more predictable results.
OpenAI and Sam Altman: how the board crisis became a power struggle
The article connects Sam Altman's firing and return, questions about the Startup Fund, and a controversial Pentagon contract into one story about power and control.
Habr AI: LLMs Can Take Over Routine in Business Research—But Not Strategy
A Habr AI author divides product and marketing research into three levels, arguing that LLMs will quickly automate routine tasks and part of the analytics, but not the restructuring of the research framework itself.
DeepMind and Yann LeCun Push AGI Toward World Models — Why This Concerns More Than LLMs
The author links the path to AGI not with LLM growth, but with world models: if AI learns to understand the physics of the world and gains a "body," its decisions could become more efficient and less predictable.
OpenClaw deployed on Wiren Board: how an AI agent controls the controller and writes scripts
A Wiren Board engineer deployed OpenClaw directly on the controller, connected Telegram, trained the agent to work with Modbus, and tested whether it could write rules and collect sensor readings.
Who's Behind Claude: How Former OpenAI Employees Built Anthropic's Team
Anthropic grew out of a team of former OpenAI employees, and Claude's success is driven not only by Dario and Daniela Amodei, but also by researchers shaping the model's character and safety.
ChatGPT Helped Design a Controller for a 32-Juice Vending Machine
The author on Habr demonstrated a conversation with ChatGPT where the model clarifies requirements and builds a controller architecture for a juice vending machine — from NFC and LTE to pumps and display.
"First Form" Implemented MCP to Configure BPM Processes via AI Agent
Russian BPM platform "First Form" implemented support for Model Context Protocol: now categories, forms, and business processes can be configured through dialogue with an AI agent.
OpenAI, Google, and Anthropic Accelerate AI Model Race, but the Market Is Already Tired of the Noise
In February 2026, leading AI labs released dozens of models, but the real story isn't record-breaking benchmarks—it's falling prices, growing open source, and weak ROI for businesses.
Resilience: AI Accelerated Cyberattacks, Response Window for Defenders Narrowed to Minutes
Reports from Resilience, IBM, and ReliaQuest show: generative AI hasn't invented new attack types, but has dramatically accelerated phishing, breaches, and fraud, narrowing defense response time to minutes.
Why Neural Networks Fail to Predict Moscow Exchange Markets—and Where ML Actually Helps Traders
Analysis of ML in trading reveals why neural networks struggle with direct price forecasting, yet help identify market regimes, filter trades, and calculate transaction costs.
Habr AI: Self-Organizing LLM Agents Outperformed Hierarchical Systems by 14%
An experiment on 25,000 tasks showed that LLM agents perform better without imposed roles: self-organization, specialization choice, and the right to opt out improve quality.
Habr AI Author Proposes Deterministic AI on MacBook Air Over GPU Race
A GPU race manifesto has appeared on Habr: the author argues that a deterministic AI kernel in Rust with O(1) logic can run locally on MacBook Air and reduce hallucinations.
AI agents reshape the development cycle: where Scrum contracts, where humans remain essential
AI agents do accelerate development, but unevenly: in new projects, control shifts to observability; in legacy code, validation becomes more critical; and regulators don't forgive mistakes.
FSBio Describes Metabolic AI Runtime — AI Architecture with "Homeostasis" Instead of Empathic Prompts
FSBio Claims That True Machine Empathy Is Impossible in Standard Transformer Models, Proposing Metabolic AI Runtime with Internal State, Memory, and "Will"
Lansoft names AI technologies that will reach production in 2026
In Lansoft's analysis, optimized transformers are named as the main candidates for production in 2026, while quantum ML and mass-market BCI remain outside practice for now.
AiConf 2026 shifts format: interactive sessions, networking, and hands-on work replace lectures
AiConf 2026 moves away from traditional AI conference format, pivoting toward interactive sessions, collaborative work, and networking so participants leave with solutions, not notes.
How ecom.tech sees the union of AI, analytics, and 1C: what already works and where the risks lie
ecom.tech demonstrated how AI is integrating into the 1C ecosystem: from semantic search and code review to video support bots, but without an analyst's oversight, such tools create a dangerous illusion of accuracy.
Raft Analyzed Where MCP and Thin MCP Add Latency to AI Agents
Raft compared five architecture options for AI agents and showed that the main cause of delays is often not Python or HTTP, but the number of inter-service transitions and the interaction model.
Anthropic Accidentally Leaked Claude Code Source Code via npm Source Map
Internal Claude Code source code was exposed through .map files in an npm package, revealing a multi-agent mode, memory 'dreams' system, hidden features, and a cover mode for open-source work.
DeepSeek V4 Launches With Focus on Price and Everyday Tasks: Review and First Tests
DeepSeek V4 is positioned as an affordable alternative to leading chatbots: early reviews praise its competitive pricing, reliable performance in everyday scenarios, and notable model improvements.
EVRAZ Implements Neural Network for Steel Heating and Gas Consumption Reduction in Rolling Mill
EVRAZ deployed a recommendation system with digital twins of furnaces in NTMK hot rolling: it suggests heating modes for blanks and helps reduce gas consumption.
Turnitin and OpenAI Are Losing: Why AI Detectors Can No Longer Distinguish Humans From Models
Language models have learned to mimic human style so well that AI detectors work almost like a coin flip: they make mistakes, catch the innocent, and increasingly fail to protect education and the online environment.
OpenAI and LinkedIn: Why Prompt Writing Has Become Critical for Career
OpenAI, Microsoft, and LinkedIn reveal one trend: the ability to write precise prompts is becoming a work skill, and vague requests now harm both answer quality and hiring prospects.