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Thinking Machines Lab unveils a preview of interaction models, which can think, respond, and act in real time, letting users continuously collaborate with AI

Today, we're announcing a research preview of interaction models: models that handle interaction natively rather than through external scaffolding.

Thinking Machines Lab

Discussion

  • @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/...
  • @kimmonismus @kimmonismus on x
    I think this is bigger than it sounds at first glance. Thinking Machines hasn't just unveiled “ChatGPT, but better.” Instead, they've introduced something that addresses a much deeper issue: the very way we interact with AI. So far, AI often feels like email with very clever [ima…
  • @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]
  • @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]
  • @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
  • @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:
  • @chhillee Horace He on x
    In modern ML accelerators, FLOPS have absolutely exploded. Often though, the bottleneck is not FLOPS but memory bandwidth. Similarly, model intelligence has exploded, causing the bottleneck to be human<->AI bandwidth. At Thinky, we think that it's important to solve this. 1/4 [im…
  • @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.
  • @eliebakouch Elie on x
    the “small” model behind this demo is a 276B total 12B active MoE (larger pretrains are cooking), sparsity ratio looks pretty standard compared to open models of the same size [image]
  • @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.
  • @lilianweng Lilian Weng on x
    In the past few months, we had a lot of fun (and stress 😅) to produce 12 versions (+ many subversions) and 137 pages in our training run log book. Turns out human-human collaboration is important to improving human-AI collaboration. 😊 [image]
  • @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]
  • @emollick Ethan Mollick on x
    Haven't tried this but it seems very neat... Yet all of the demos (except maybe one) are the model being fun and/or annoying by correcting or reminding in real time. There are obvious uses for this sort of model in meetings, education, training, etc. Why not demo valuable cases?
  • @_alex_kirillov_ Alexander Kirillov on x
    [image]
  • @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.
  • @natolambert Nathan Lambert on x
    This is the demo that hits me as being genuinely different — both model and user talking at once! Great stuff. Congrats on the release @thinkymachines
  • @growing_daniel Daniel on x
    holy shit they made Her
  • @rown Rowan Zellers on x
    We are so back!
  • @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
  • @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]
  • @hesamation @hesamation on x
    WAIT WAIT WAIT. is anyone gonna talk about the fact how Thinking Machines demo looks insanely similar to GPT 4o demo from 2 YEARS AGO? [video]
  • @isolyth.dev Eris on bluesky
    New thinking machines research!!!  They present interaction models, “To ensure real-time responsiveness, we adopt a multi-stream, micro-turn design.”  —  I've been saying this!!!!  —  There is A LOT in this post, but tldr: they use two models, one with a very short ‘turn’, and a …
  • r/singularity r on reddit
    Interaction Models: A Scalable Approach to Human-AI Collaboration - Thinking Machines
  • r/OpenAI r on reddit
    Ex OpenAI CTO Mira Murati is giving them a serious fight for the bucks.  Her new “Interaction Model” makes “GPT-Realtime-2” look like caveman, current capabilities level wise
  • r/technology r on reddit
    Thinking Machines wants to build an AI that actually listens while it talks