Reasoning Models
Reasoning models are a new class of AI that "thinks" before answering: spending extra compute at inference time, building chains of thought and solving problems ordinary LLMs cannot — math, code, science. They kicked off the test-time-compute race. Here is all our coverage of reasoning models: releases, benchmarks (GPQA, ARC-AGI), limits and cost.
Google Releases Gemini 3.1 Flash Live for Voice AI Agents and Multimodal Dialogue
Google opened preview access to Gemini 3.1 Flash Live — a model for voice and visual AI agents with low latency, tool support, and more natural dialogue.
Veai 5.7 for JetBrains IDE adds directories to chat and auto-retry for agent tasks
Veai updated its AI agent for JetBrains IDE: version 5.7 brings directories to chat, model selection directly in the dialog, auto-retry, and a less intrusive…
IWE and OpenAI: How to Turn Markdown Notes into a Knowledge Graph for AI Agents
Using IWE as an example, we showed how to build a local knowledge graph from markdown, connect OpenAI function calling, and construct an agentic RAG with…
DeepSeek V4 Pro vs Claude Sonnet 4.6 on 50 real tasks: where to save, where the risk lies
NVIDIA Introduced Nemotron 3 Nano Omni for Long Documents, Audio, Video, and AI Agents
NVIDIA Releases Nemotron 3 Nano Omni on Amazon SageMaker JumpStart on Release Day
Musk's Lawsuit Against OpenAI Begins: AI Industry Secrets Set to Go Public
NVIDIA at GTC 2026 Shifts Focus From Chips to Token Factories and Agent-as-a-Service
At GTC 2026, NVIDIA showcased a bet not on individual GPUs, but on token factories, the modular Vera Rubin architecture, and AI agents as a service economics.
PageIndex from VectifyAI offers embedding-free search for long documents
PageIndex builds a tree-structured document outline and searches for relevant sections through LLM reasoning, promising RAG without embeddings, but at a notable…
Rocket Close Accelerated Mortgage Document Processing by 15x with AWS
LLM-based system reduced quality control map preparation at metallurgical plant from 2 hours to 5 minutes
Google Gemma 4, NVIDIA, and OpenClaw: Local AI Agents Without Per-Token Billing
Flant: How a Go Developer Turned Zed and Gemini into a Useful AI Agent
ecom.tech compared evolutionary fine-tuning of Qwen3-4B with SFT and GRPO for Kotlin tests
The ecom.tech team fine-tuned Qwen3-4B-Instruct for generating unit tests in Kotlin and showed that the evolutionary algorithm outperforms SFT and GRPO on quality…
Claude and Qwen Omni: How a Developer Integrated Video Analysis into a Production Pipeline
A Habr author connected Claude with Qwen Omni to work around the lack of native video processing and automatically categorize 29 animation references by motion and…