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.
Hugging Face and Lambda: how to parse and fine-tune agent reasoning traces
MarkTechPost published a practical guide to the lambda/hermes-agent-reasoning-traces dataset: how to parse agent thoughts, tool calls, create charts, and prepare…
IBM Research analyzed where AI agents break down on APIs, documents, and rules in VAKRA
IBM Research's analysis of VAKRA shows that even strong models lose reliability when they have to combine APIs, documents, multi-step reasoning, and tool…
Alibaba releases Qwen3.6-35B-A3B — a multimodal MoE model focused on agentic coding
Qwen has released the weights for Qwen3.6-35B-A3B: with 35 billion parameters and 3 billion active, the model works with code, images, and video, with an emphasis…
An open-source stack of 6 models and 9 agents showed how to build an AI team on a single server
NVIDIA introduces NeMo Retriever — agentic search for complex enterprise data
Anthropic and ETH Zurich: a long CLAUDE.md worsens agent performance and raises costs
DeepSeek and GLM-5 beat Yandex in a test of 34 AI models for managers without VPN
Nvidia unveiled the first open dataset and foundation AI models for medical robots
Nvidia and partners on Hugging Face released the first large open dataset for medical robots and two foundation models for surgery, simulation, and future autonomy.
NVIDIA at GTC 2026 announced a 'ChatGPT moment' for self-driving cars and robots
At GTC 2026, NVIDIA said self-driving technology had reached a new milestone, expanded its robotaxi partnership with Uber, and updated its physical AI stack for…
Nvidia unveils Vera Rubin: seven chips and a full platform for AI factories
Nvidia introduced Agent Toolkit and NemoClaw for rapid and secure AI agent deployment
NVIDIA released Nemotron 3 Nano 4B — a compact hybrid model for on-device deployment
OpenAI Released GPT-5.4 Mini and Nano — Near-Flagship Quality at Lower Cost
OpenAI is devoting its core resources to building a fully autonomous AI researcher
The company is restructuring its research agenda around an autonomous agent that will be able to conduct multi-day research on its own, with the first “AI intern”…
OpenAI, Google, and Tesla set the week's agenda: GPT-5.4 mini, AI Studio, and Terafab
OpenAI opened GPT-5.4 mini to broad access, Google turned AI Studio into an app-building environment, and Tesla promised its own $20–25 billion chip factory.