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.
Habr AI Demonstrates How Reflex Architecture for LLM-Agents Eliminates Lag Down to 60 FPS
Habr AI explored dual-process architecture, where a fast reflex layer handles instantaneous reactions, while the LLM handles semantics, planning, and real-time…
AWS and Artificial Genius demonstrated a way to reduce LLM hallucinations in finance and medicine
AWS and Artificial Genius described a hybrid approach where Amazon Nova understands the request, and a deterministic layer restricts answers only to what can be…
KDnuggets picked 10 X accounts to follow for LLM news
KDnuggets compiled 10 X accounts that help track LLM news without the noise: from Andrej Karpathy and Simon Willison to DAIR.AI, alphaXiv, and release feeds.
SkillMarket built a marketplace of skills for AI agents on FastAPI and Claude Sonnet
Apple Will Allow Connecting Gemini and Claude to Siri in iOS 27 Through Extensions System
Qwen3.5: Running Reasoning-Models in GGUF and 4-Bit Format via Colab
Google Releases Gemini 3.1 Flash Live for Voice AI Agents and Multimodal 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…
OpenAI, Google, and Anthropic Accelerate AI Model Race, but the Market Is Already Tired of the Noise
How a YADRO Developer Configures Claude Code with Spec-Driven Development
Machine Learning Mastery showed how to build AI agents in Python with Pydantic AI
IBM reveals how it built Granite 4.1: 15 trillion tokens, 512K context window, and focus on quality
Musk's Lawsuit Against OpenAI Begins: AI Industry Secrets Set to Go Public
Musk and Altman meet in court: the trial promises to expose behind-the-scenes secrets of OpenAI's founding, early investments, and the conflict over AI…
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.