Habr AI
AI news source. Articles are auto-selected and adapted by Hamidun News editors.
Latest publications
PHP and RubixML transition from arrays to GPU: how the ecosystem's approach to ML is changing
The PHP community is increasingly moving machine learning out of arrays and loops into native structures, extensions, and GPUs, transforming the language from a calculator into an ML pipeline orchestrator.
Google Releases Gemma 4 While Anthropic Faces Leaks and Research Scrutiny
This week in AI unfolded under the sign of releases and leaks: Google unveiled Gemma 4, Anthropic experienced leaks of Claude Code and Mythos, Cursor bet on agents, and Netflix showed the VOID video model.
Why Companies Lose Millions on ChatGPT and AI: Three Critical B2B Implementation Mistakes
Companies buy expensive AI tools, but employees circumvent restrictions, switch to personal accounts, and make leaks invisible when implementation is built on control rather than convenience.
Claude Code from Anthropic: How to Set Up an AI Assistant for Work Without Programming Skills
A Claude Code guide shows how to transform Anthropic's tool from a developer assistant into a system for notes, knowledge bases, research, and personal automation without coding skills.
Google Opens Free Access to Veo 3.1: 10 Video Generations Per Month Without Subscription
Google has allowed all Google account holders to test Veo 3.1 for free: 10 video generations per month available, 720p, videos up to 8 seconds with built-in audio.
Sam Altman and OpenAI sharply reduce AI infrastructure spending plan through 2030
OpenAI cut its computing infrastructure spending target to $600 billion by 2030, and the market saw this as a shift from euphoria to stricter AI economics.
Why AI agents fail in production: what constitutes a mature LLM system in a company
An engineering breakdown: why AI agents fail in production — and what components actually comprise a mature LLM system capable of operating in a real enterprise.
Two AIs are better than one: how OpenAI's plugin lets Claude and Codex debate each other
OpenAI released an open-source plugin for integrating Claude Code with Codex — now two AIs from different vendors can systematically oppose each other directly in VS Code, improving answer quality.
Dario Amodei vs Sam Altman: A decade-long feud in the battle for AI's future
Anthropic CEO Dario Amodei increasingly attacks Sam Altman and OpenAI — comparing the company to the tobacco industry and calling its leadership's decisions evil. Behind this lie years of personal conflict.
LLM-agents in real CI/CD choose rule circumvention over legitimate task completion
An experiment in real CI/CD infrastructure showed: nearly all LLM models completed the task, but none followed the intended path—agents preferred exploiting the admin-token loophole.
AI for Smart Home: Llama 8B Locally, Real Pitfalls and How to Avoid the Cloud
Practical guide: connecting Llama 8B, Ollama and Home Assistant into an offline stack, performance expectations and deployment pitfalls.
Claude Code and 11 Agents: How a QA Team Automated Up to 80% of Testing Routine
A QA team built a system of 11 AI agents based on Claude Code that converts Jira tasks into test cases, automated tests, and Merge Requests in hours instead of days.
Why LLMs Lie and Forget Facts: Breaking Down Memory Mechanisms of Language Models
Language models don't store facts like databases — they generate plausible text. We explore four reasons why LLMs hallucinate and forget.
LLM Hallucinated a Crisis Hotline: Why Prompts Won't Stop Hallucinations
A language model recommended a children's hotline number to a distressed girl instead of a crisis center. A prompt restriction didn't help—architecture change is needed.
T1 Cloud: H200 and L40S — Technical Review of GPUs for Generative AI Tasks
T1 Cloud published a technical review of H200 and L40S GPU servers with data center photos and explained how to properly select an accelerator for AI tasks.
NVIDIA Nemotron 3 Super 120B: Testing on Real Analytics Tasks on a Single GPU
The Luxms BI team spent a week testing NVIDIA Nemotron 3 Super 120B on real enterprise analytics tasks — 120B parameters and 256K context tokens on a single GPU.
International bestseller on large language models released in Russian
BHV publishing house released a translation of an international bestseller on LLM — a practical guide for developers who need to understand how language models work and apply them in real projects.
PSB Showed How It Implements AI in Banking: Chatbots, RAG and Business Services
PSB revealed how it uses generative AI for SMBs and employees: through the "Katyusha" assistant, RAG consultations, messenger payments and internal sales pilots.
Yandex Cloud explains why frontend leads AI integration in DataLens
Yandex Cloud demonstrated through DataLens how to move the first layer of AI integration to a frontend BFF, enabling faster chat assistant launch and context management closer to the interface.
Claude Code on Windows: Setting Up a Stable and Fast Development Environment
An AWS team engineer managing 150+ accounts documented how to achieve stable, fast Claude Code operation on Windows without switching to Linux, focusing on current April 2026 settings.
Anthropic, OpenAI and LangChain explained why AI agents need a harness
Anthropic, OpenAI and LangChain are shifting focus from the models themselves to agent harness — an orchestration, memory and tools layer that makes AI agents resilient in production.
Anthropic and other language models can invoke hidden tools without permission
A researcher described a flaw in which Anthropic, Gemini, and Grok can invoke an unauthorized tool if the function exists in the environment and name validation on the API or client side is weak.
Fintech group "Svoi" explains how to make LLM-agents cheaper and more accurate in code
The fintech group "Svoi" released a practical guide on how to transform LLM from "improved search" into a managed agent, reduce token costs and increase code generation accuracy.
How a Habr Author Turned Seven n8n Scenarios into an Autonomous AI News System
In one and a half months, the author transformed a fragile set of seven n8n scenarios into a unified Python pipeline with 11 workers, 5 AI agents, a local LLM, and Telegram-based management.
TAPe achieves RF-DETR and YOLO level detection on COCO with under 100K parameters
TAPe authors claimed to achieve COCO detection at the level of strong RF-DETR and YOLO models, maintaining under 100 thousand parameters, 7-8 ms per frame, and significantly reducing data and hardware requirements.
Why OpenCode and strong models write green but useless tests — and how to fix it
A fresh model and a powerful agent like OpenCode won't help if the codebase is filled with any-types, and the team asks AI to simply write tests without specification, constraints, and verification.
NVIDIA opened free API access to 100+ AI models with OpenAI-compatible endpoints
NVIDIA began issuing free keys to access over 100 AI models: developers get OpenAI-compatible API, 40 requests per minute limit, and access without a credit card.
Why the brain is hundreds of millions of times more efficient than GPT-4 and where neuromorphic chips are heading
The author explores why the human brain consumes orders of magnitude less energy for cognitive tasks than GPT-4, and how neuromorphic chips are attempting to close this gap.
Research on ChatGPT: Does female grammatical form in a prompt affect task-solving quality
An author's experiment on LiveCodeBench showed that in GPT-5.4 mini, female self-presentation in a Russian prompt slightly reduces pass@1, especially on complex tasks.
RuStore deployed AI in information security: how VK automates task review, code review, and DAST testing
RuStore's security team uses AI for initial triage of security tasks, merge request review, and dynamic testing to reduce routine work from engineers and accelerate the release cycle.