Thinking Machines

Thinking, beeping, and booping.
@tinkerapi

[Thinking Machines @thinkymachines]

Today, we are introducing Inkling.

Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available.

https://t.co/Ghebq5mG30

Available today for fine-tuning on Tinker. Play with it in the Inkling Playground. 🧵

[Thinking Machines @thinkymachines]

We hope you enjoy Inkling, and as always we’re keen to see what you build.

[Thinking Machines @thinkymachines]

Today, we are introducing Inkling.

Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available.

https://t.co/Ghebq5mG30

Available today for fine-tuning on Tinker. Play with it in the Inkling Playground. 🧵

[Thinking Machines @thinkymachines]

Inkling is the first in a family. We’ve included some details of Inkling-Small, a lighter-weight model trained on a similar recipe, with full weights to follow.

[Thinking Machines @thinkymachines]

We're building AI that people and organizations can shape and make their own. AI should extend our will and judgment instead of neglecting it; enabling that is the technical challenge we are working to solve.
https://t.co/Bi558y4vqD

[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