Thinking Machines Lab details interaction models, which can think and respond in real time, letting users and AI interact continuously for better collaboration
Today, we're announcing a research preview of interaction models: models that handle interaction natively rather than through external scaffolding.
Thinking Machines Lab
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Discussion
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@swyx
@swyx
on x
lowkey the funniest videos of the batch. thinky has some comedians!! congrats to @thinkymachines on reviving the omnimodel dream that others could not [image]
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@giffmana
Lucas Beyer
on x
Very cool announcement from Thinky! The model looks nice (they go into some reasonable amount of detail), and reading some parts of the blog you can definitely see that the infea guys had a lot of fun there! [image]
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@clarejtbirch
@clarejtbirch
on x
AI changes us. Thinking Machines exists to build AI tools that increase human participation, preserve dignity across different minds, and move fast without severing society from our slower layers of memory, culture, and care. Interaction models are such a tool: an experiment in
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@scobleizer
Robert Scoble
on x
The demo of this model is cool. Interacts with multiple people in multiple languages. On multiple tasks. Now we know why @miramurati got the big bucks.
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@johnschulman2
John Schulman
on x
Sharing our work on full-duplex multimodal models — real-time interaction that's natural and intuitive without compromising on intelligence. We started Thinky in part to differentially advance capabilities for human-AI collaboration, which are underemphasized relative to
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@soumithchintala
Soumith Chintala
on x
Thinky's secret plan: 1: Increase Human<->AI bandwidth 2: Raise ceiling of human+AI intelligence 3: Help humans continue as main-characters in the new world We are at Step 1. Interaction Models are great real-time collaborative tools for humans. Here's a preview:
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@miramurati
Mira Murati
on x
We started Thinking Machines to advance human-AI collaboration, and this is our first bet on what that looks like. Most labs treat autonomy as the goal and interactivity as scaffolding around a turn-based core. We think the way we work with AI matters as much as how smart it is.
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@miramurati
Mira Murati
on x
The current “AI experience” often feels like a conversation that only begins after we stop talking. We have to batch our thoughts. We can't point at things. We phrase questions like emails. The interface doesn't leave room for us so we adapt to the models.
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@miramurati
Mira Murati
on x
Today we're sharing our work on interaction models. A new class of model trained from scratch to handle real-time interaction natively, instead of gluing it onto a turn-based one. https://www.youtube.com/...
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@thinkymachines
@thinkymachines
on x
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. [video]
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@thinkymachines
@thinkymachines
on x
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://thinkingmachines.ai/ ... [video]