Thinking Machines
@thinkymachines
Thinking, beeping, and booping.
@tinkerapi
1 Following 149.1K Followers
1. (System design) - The Interaction Models see your screen and collaborates with you live. Here we're building a scalable system architecture together — no copy-pasting, no switching tabs, just thinking out loud and drawing on the screen together.
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The technical report includes our motivation, early evaluation results, and technical approach.
The model works in more real situations too, like when Mianna is trying to say words she's only read before.
Lili and Martin get some help controlling themselves.
The team has been sweeping at local trivia night thanks to a model that's aware of continuous time.
The model can multi-task!
Long thinks the model knows everything, but the model actually searched while listening and responding to him so he didn't notice.
and draws when things are easier to explain visually!
Our model interjects to save Alex's parents from his eccentric ideas.
With the model's simultaneous speech capability, Horace has gotten a lot easier to work with recently.
While Lilian is telling a story, the interaction model can track when she is thinking, yielding, self-correcting, or inviting a response; there is no specific built dialogue management system.
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Tessa's quality of life has improved a lot with some nagging.
People talk, listen, watch, think, and collaborate at the same time, in real time. We've designed an AI that works with people the same way.
We share our approach, early results, and a quick look at our model in action.
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Guest post by @_Mantic_AI on training LLMs to predict world events in Tinker
Mantic used Tinker to RL gpt-oss-120b on judgmental forecasting; the result outperformed frontier models on event predictions. Combined with @_Mantic_AI's forecasting architecture, task-specific training takes us to the cusp of automated superforecasting.
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We’re thrilled to partner with @thinkymachines to deploy at least 1 gigawatt of NVIDIA Vera Rubin systems for frontier AI model training.
We are partnering with @nvidia to power our frontier model training and platforms delivering customizable AI.
Four Qwen 3.5 models from @Alibaba_Qwen are now live on Tinker. Qwen 3.5 introduces hybrid linear attention that enables long context windows, as well as native vision input.
Custom fine-tuning has boundless applications. This week’s roundup shows Tinkerers taking models in unexpected directions, from science research to fun and games (literally).
Our second roundup of community projects highlights all things RL, from tutorials to APIs to cutting-edge research.
Kimi K2.5 is live on @tinkerapi:
Kimi K2.5 from @Kimi_Moonshot is now available on Tinker. We currently support text input for K2.5, with vision support coming soon. Update the SDK to use the latest in Tinker.
Tinker now has a dedicated home on X 🤖🏡
We’ve loved watching the Tinker community grow, and we're excited to have a place to share product updates, helpful recipes, and spotlights on the amazing things Tinkerers are building.
Get started with Tinker here:
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