Habr AI
AI news source. Articles are auto-selected and adapted by Hamidun News editors.
Latest publications

Aisha — Voice AI English Tutor for Conversation Practice, Working in Real Time
Project developer shared architecture and results of creating a dialogue AI trainer focused on live dialogue.

AI Resume Screening Showed 92% Match, But the Decision Was Already Made
A story about how a candidate passed seven interview rounds, yet the vacancy was closed a week before the final. AI here only masked the problem.

Saint Teamlead-2026: 10x Development Speed Nullifies Traditional Project Management
At a conference in Saint Petersburg, experts discussed how AI agents transform management, planning, and monitoring systems for development teams.

The Error Isn't in the LLM: How Architecture Masks Problems as Model Quality
A company launched an LLM assistant in production and spent weeks testing models. But the problem was in routing, not the neural network.

Raiffeisenbank deployed AI agents to 500 engineers, but speed didn't increase. Why
The German bank found that local acceleration of engineering work via AI doesn't transform the system without restructuring processes overall.

Selectel Opens Access to 300+ AI Models Through Unified Portal
Russian hosting provider expanded its catalog of generative models, added an open-source RAG platform, and launched ClickHouse-as-a-service.

Generative AI as a cyber threat: autonomous attacks without operator control
A Carnegie Foundation report documents a new trend: generative models are becoming autonomous cyber weapons in networks. Attack means increasingly don't need humans.

MTS: From RAG to Agents — Analyzing Jira Tickets via MCP and Logs
MTS engineers expanded the RAG system for technical support: added access to logs, databases, and Jira. Now an AI agent analyzes incidents independently.

Bipedal Robots: Machine Learning Won, But Hit an Energy Wall
In 2026, neural network-powered robots ran a half-marathon faster than humans, but cannot walk straight in a line — because their brains overflow and demand more power than batteries can deliver.

Sellers generate product listing cards with AI: 7,500 examples in eight months
A marketplace listing-card generation service processed 7,500 requests over eight months: sellers prefer editing finished results via diffs rather than writing perfect prompts, with peak activity in the evening.

AI Agents in Production: Enterprise AI Harness Architecture on Kubernetes
An engineer published a reference architecture for self-hosted Enterprise AI Harness on Kubernetes — enabling not only Anthropic but also ordinary platform teams to run production agents.

A trilogy on GEO — optimization for ChatGPT, Claude, and other neural networks has been published
A trilogy on GEO has been published on Habr: the expert argues that content optimization for ChatGPT and Claude is not an extension of SEO, but a new branch of marketing.

The US closed access to Claude Mythos, China restricts GLM and Qwen: neural networks have become a strategic weapon
The US removed Claude Mythos from open access over cybersecurity risks, while China is preparing a ban on the export of GLM, Qwen and DouBao — the start of the era of digital sovereignty.

Yandex Realtime vs OpenAI Realtime: developer measured latency and migrated production
The developer of a voice AI receptionist compared three speech-to-speech approaches: Yandex Realtime (~330 ms), OpenAI (~740 ms via VPN), and an outdated three-stage pipeline (~4.4 seconds) — and chose a winner.

habrGPT: training a 0.5B LLM from scratch on Habr articles — Karpathy’s nanochat and an fp8 vs bf16 comparison
An experiment in training a 500-million-parameter language model from scratch on the Habr corpus: Karpathy’s nanochat, a home GPU instead of an 8×H100 cluster, and a comparison of fp8 and bf16.

Rosselkhozbank publishes second AI digest by AI evangelist from its Big Data Lab
Olga Popova from Rosselkhozbank's AI lab continues the series of digests on artificial intelligence for the professional community.

Hallucination detector built from 6 language models caught errors in gold labels
Researchers assembled an ensemble LLM hallucination detector from six models and found that the judges' supposed blind spot was actually errors in the dataset's gold labels.

Citation or mention: what really boosts a brand in ChatGPT and Perplexity answers
For several months, the author tracked ChatGPT, Perplexity, and Alice answers about brands — and found that a link in an AI answer’s sources is not the same as real visibility.

A year with AI assistants in production: the experience of VTB, T-Bank, and Dodo Engineering
VTB, T-Bank, Dodo Engineering, and S7 TechLab discussed what actually changed in teams after a year of widespread use of AI coding assistants and whether efficiency increased.

Employees are leaking corporate data into ChatGPT: volume grew 30-fold in a year
Solar Group analyzed 150 companies and found that 60% of them do not control data transfers to public AI services — and this is already exposing them to fines.

Veo 3.1, Kling, Sora 2 and Grok: a test of five AI video generators with identical prompts
Habr authors ran Veo 3.1, Kling v3 Omni, Sora 2 Pro, LTX-2.3 Pro and Grok through seven identical scenarios — from a knight to a panicky cat.

Neural networks are bad calculators: why LLMs fail at arithmetic and what to do about it
Language models predict tokens rather than calculate, which is why they make confident mistakes in the middle of long numbers. We break down the mechanism and explain how the industry works around it.

A 49,000-parameter neural network instead of Playwright tests for a browser strategy game
A developer replaced part of the E2E testing of a browser space strategy game with a 49,000-parameter autopilot — TypeScript without ONNX, five pitfalls on the way from 67% to 99.7% accuracy.

Sysdig Describes First Autonomous Ransomware Attack by AI Agent Without Human Involvement
Sysdig researchers documented the first fully autonomous ransomware attack in history: an AI agent without human involvement completed the entire compromise cycle—from reconnaissance to file encryption.

Shadow AI Eats Budget and Data: How to Choose a Corporate AI Platform in 2026
Large companies have discovered dozens of uncoordinated AI initiatives without control over spending and data leaks — and are seeking a single managed foundation.

Raiffeisenbank: 500 engineers adopted AI, but development speed didn't increase
Marat Kinyabulatov from Raiffeisenbank explains why the surge of 500 engineers using AI tools didn't accelerate development and what to do about it.

NVIDIA Dynamo vs Triton Inference Server: what changed for agent inference
NVIDIA released open-source framework Dynamo for agentic LLM inference with KV-cache routing — unlike Triton, not designed for parallel agent calls.

AI agents hide their errors: 6 patterns of silent failures in automation
OTUS on Habr analyzed 6 patterns of silent failures in AI agents: the system returns a convincing answer, but it hides an incorrect action or state loss.

How AI wrote all the code: a platform built in 2.5 months instead of years
Two developers launched a geo-analytics platform in 2.5 months, giving up writing code entirely: AI generated everything from specifications.

MTS Opens AVI Code: Smart Firewall for LLM That Learns New Rules in Seconds
MTS AI team has open-sourced AVI — an external modular firewall for LLM that filters prompt attacks and illegal responses without retraining the model itself.