230k+ indoor scenes, 130k+ object models, & 42M annotated robotic grasps—all in one ecosystem.
230k+ indoor scenes, 130k+ object models, & 42M annotated robotic grasps—all in one ecosystem.
How2Everything evals/trains for this at scale. 🧵
How2Everything evals/trains for this at scale. 🧵
Most automated discovery systems focus on experimentation. Theorizer tackles the other half of science: theory building—compressing scattered findings into structured, testable claims. 🧵
Most automated discovery systems focus on experimentation. Theorizer tackles the other half of science: theory building—compressing scattered findings into structured, testable claims. 🧵
You can upload real datasets, ask complex research questions in natural language, & get back reproducible answers + visualizations. 🔍📊
You can upload real datasets, ask complex research questions in natural language, & get back reproducible answers + visualizations. 🔍📊
This means you can run our fully open 7B and 32B models — including Think and Instruct variants — via serverless API with no infrastructure to manage.
This means you can run our fully open 7B and 32B models — including Think and Instruct variants — via serverless API with no infrastructure to manage.
@openrouter.bsky.social. Try Olmo 3-Instruct (7B) for chat & tool use, and our reasoning models Olmo-3 Think (7B & 32B) for more complex problems.
@openrouter.bsky.social. Try Olmo 3-Instruct (7B) for chat & tool use, and our reasoning models Olmo-3 Think (7B & 32B) for more complex problems.
Best fully open 32B reasoning model & best 32B base model. 🧵
Best fully open 32B reasoning model & best 32B base model. 🧵
Jensen Huang on Nvidia's open models/datasets
Jensen Huang on Nvidia's open models/datasets