Thinking Machines Lab released Inkling, an open-weight 975B-parameter sparse Mixture-of-Experts model with 41B active parameters and a 1M-token context window, which outperforms GLM-5.2 on IFBench (79…
Enterprise AI agents are runtime products requiring a control plane, API, release path, rollback story, and ownership for regulated workflows. Focused Labs highlights the NemoClaw Deep Agents Blueprin…
NVIDIA and LangChain released NemoClaw for LangChain Deep Agents, an open framework combining NVIDIA's Nemotron 3 Ultra model and OpenShell runtime with LangChain's Deep Agents orchestration to help e…
NVIDIA released Nemotron 3 Ultra, a 550-billion-parameter open-weight MoE model with hybrid Mamba-2 and Transformer architecture, under the Linux Foundation's OpenMDW-1.1 license. The model requires s…
Nvidia and LangChain released the NemoClaw for LangChain Deep Agents blueprint on July 8, combining Nvidia's Nemotron 3 Ultra model with LangChain's Deep Agents framework to achieve benchmark-leading …
NVIDIA's Nemotron 3 Ultra, tuned with LangChain's Deep Agents harness, achieved benchmark-leading performance at 10x lower inference cost than top closed models, enabling enterprises to build speciali…
Nvidia released Nemotron 3 Ultra, a 550-billion-parameter open-weight model, but running it on personal hardware is impossible due to memory constraints. At full precision, it requires 1.1 terabytes o…
NVIDIA released Nemotron 3 Ultra, a 550-billion-parameter open model under a fully permissive license, competitive with GPT-4.5 on code and reasoning. Z.AI launched GLM-5.2 with MIT-licensed weights, …
NVIDIA released the Nemotron 3 Ultra NVFP4 checkpoint, a quantized model that achieves up to 5.9x higher inference throughput than GLM-5.1 754B FP4 on decode-heavy workloads while matching BF16 accura…
Ian Barber argues that large language models have entered the engineering phase long familiar in recommendation systems, where performance is now part of the research loop rather than an afterthought.…
NVIDIA released Nemotron 3 Ultra on June 4, 2026, a 550-billion-parameter open-weights model that achieves the highest intelligence score among US open models. The model uses a hybrid Mamba-Transforme…
NVIDIA released Nemotron 3 Ultra, a 550B-parameter hybrid Mamba-Transformer model with 55B active parameters, achieving up to 6x higher inference throughput than state-of-the-art LLMs while maintainin…
NVIDIA released Nemotron 3 Ultra, a 550-billion-parameter open-weights reasoning model, on June 4, 2026. It is the best US open model by Artificial Analysis's scoring but trails Chinese leader Kimi K2…
NVIDIA released Nemotron 3 Ultra, a 550-billion parameter open-weight model designed for production agent tasks rather than benchmark performance. The model prioritizes real-world deployment efficienc…
NVIDIA released Nemotron 3 Ultra, a 550-billion-parameter open-weight model, on June 1, 2026, and it became available on Ollama's cloud three days later. The model uses a sparse Mixture-of-Experts des…
Microsoft AI released a detailed technical report on the development of its first model, MAI-Thinking-1, emphasizing a controlled, reproducible training process built on human-generated data and propr…
Anthropic published research on recursive self-improvement (RSI) while OpenAI's ChatGPT crossed 1 billion monthly active users five months behind schedule and announced improved memory features. NVIDI…
NVIDIA used multi-tier on-policy distillation to train its Llama-3.1-Nemotron-Ultra-253B model, enabling it to outperform larger systems on reasoning tasks without additional compute. The technique ad…
NVIDIA released Nemotron 3 Ultra, a 550-billion-parameter open-weight model designed for agentic AI workloads such as multi-step reasoning, tool use, and autonomous task completion. The model competes…
Applied Compute trained a small open-source model (Qwen3.6-35B-A3B) to route SWE-bench Verified tasks across three frontier coding models — Nemotron 3 Ultra, GPT-5.5, and Claude Opus 4.7 — choosing th…