Thinking Machines, the AI lab founded by former OpenAI leader Mira Murati, released its first AI model, Inkling, with 975 billion parameters including 41 billion active parameters, positioning it as a…
No independent measurement exists to verify whether enterprise AI investments pay off, because every headline ROI figure in the debate was produced by a party with a financial stake in the answer, a c…
Mira Murati's AI startup Thinking Machines Lab released its first AI model Inkling this week, a 975-billion-parameter mixture-of-experts model trained on 45 trillion tokens, but the company admitted i…
Thinking Machines Lab, the startup founded by former OpenAI CTO Mira Murati, launched Inkling, an open-weight 975-billion-parameter large language model that lets users adjust thinking effort. The mod…
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…
Mira Murati launched Inkling, a 975-billion-parameter open-weights AI model, on July 15, admitting it is not the strongest overall model but betting that enterprise customization will outcompete scale…
Thinking Machines Lab, the startup founded by former OpenAI CTO Mira Murati, launched Inkling on July 15, a 975-billion-parameter open-source multimodal AI model with a 1-million-token context window,…
Thinking Machines Lab released Inkling, a 975-billion-parameter open-source AI model trained from scratch on 45 trillion tokens, as a generalist base for customization. The model launched on the compa…
Thinking Machines Lab released Inkling, its first open-weights foundation model, a 975-billion-parameter Mixture-of-Experts transformer with 41 billion active parameters, available for fine-tuning via…
Thinking Machines Lab released Inkling, a 975-billion-parameter Mixture-of-Experts model that the company explicitly says is not the strongest available, positioning it as a platform for fine-tuning r…
Mira Murati's Thinking Machines Lab released Inkling, a 975-billion-parameter open-weight mixture-of-experts model that activates only 41 billion parameters per task and natively handles text, image, …
Thinking Machines Lab, founded by former OpenAI executive Mira Murati, released its first AI model, Inkling, an open-weight model designed for versatile and efficient processing across media while bal…
Murati's Thinking Machines released Inkling, an open-weights 975B parameter mixture-of-experts LLM with 41B active parameters, supporting text, image, and audio input with a 1M-token context window. T…
Inkling, a new open-weights AI model with 975B total parameters and 41B active parameters, has been released by an unnamed organization to advance its mission of building AI that extends human will an…
AI startup Thinking Machines released Inkling, an open-weight AI model with 975 billion parameters, as a Western alternative to popular Chinese open-source models. The San Francisco-based startup, fou…
An open-source pipeline called ai-trains-ai uses nested reinforcement learning loops where an outer agent is RL-trained to write inner training jobs for small models, with the entire system run for ro…
An independent developer built a pipeline where an AI agent uses reinforcement learning (RL) to train smaller models via RL, achieving a peak reward of ~0.63 over 54 training steps and transferring to…
Thinking Machines Lab, led by Mira Murati, published a report arguing for human-centered AI built on customizable model weights. The lab proposes four technical directions to make AI distributed and s…
Bridgewater's AIA Labs and Thinking Machines Lab fine-tuned a Qwen3-235B model on the hedge fund's internal investor judgement, achieving 84.7% accuracy on triage tasks versus 78.2% for the best front…
Thinking Machines Lab released two open-source libraries, `tinker` and `tinker-cookbook`, to help developers and researchers fine-tune large language models. The `tinker` SDK handles distributed train…