Thinking Machines

Thinking, beeping, and booping.
@tinkerapi

[Thinking Machines @thinkymachines]

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.

https://t.co/AFJZ5kH7Ku

[Thinking Machines @thinkymachines]

We are offering grants of $100,000 + Tinker credits to researchers advancing the field of human-AI interactivity. Submit your proposals by June 19th!

https://t.co/907HfBy7g3

[Seongsik Kim @SeongsikKi5837]

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.

[Thinking Machines @thinkymachines]

The technical report includes our motivation, early evaluation results, and technical approach.

https://t.co/AFJZ5kH7Ku

[Thinking Machines @thinkymachines]

Lili and Martin get some help controlling themselves.

[Thinking Machines @thinkymachines]

The model works in more real situations too, like when Mianna is trying to say words she's only read before.

[Thinking Machines @thinkymachines]

and draws when things are easier to explain visually!

[Thinking Machines @thinkymachines]

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.

[Thinking Machines @thinkymachines]

The team has been sweeping at local trivia night thanks to a model that's aware of continuous time.

[Thinking Machines @thinkymachines]

With the model's simultaneous speech capability, Horace has gotten a lot easier to work with recently.

[Thinking Machines @thinkymachines]

Our model interjects to save Alex's parents from his eccentric ideas.

[Thinking Machines @thinkymachines]

Tessa's quality of life has improved a lot with some nagging.

[Thinking Machines @thinkymachines]

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.

[Thinking Machines @thinkymachines]

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.

https://t.co/AFJZ5kH7Ku

[Thinking Machines @thinkymachines]

Guest post by @_Mantic_AI on training LLMs to predict world events in Tinker
https://t.co/29rc4qBxwT

[Tinker @tinkerapi]

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.

[NVIDIA AI @NVIDIAAI]

We’re thrilled to partner with @thinkymachines to deploy at least 1 gigawatt of NVIDIA Vera Rubin systems for frontier AI model training.

[Thinking Machines @thinkymachines]

We are partnering with @nvidia to power our frontier model training and platforms delivering customizable AI.

https://t.co/JFlf9hJkKh

[Tinker @tinkerapi]

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.

[Tinker @tinkerapi]

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).

[Tinker @tinkerapi]

Our second roundup of community projects highlights all things RL, from tutorials to APIs to cutting-edge research.