Liquid AI

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Liquid AI

Liquid AI

@liquidai

Build efficient general-purpose AI at every scale.

Cambridge, MA Katılım Mart 2023
38 Takip Edilen26.3K Takipçiler
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Liquid AI
Liquid AI@liquidai·
We’re entering a multi-year partnership with @MercedesBenz to scale embedded, on-device intelligence for their third- and fourth-generation MBUX. Our goal: to make the driver/vehicle relationship even more natural and effortless. Read more about our partnership: liquid.ai/press/liquid-a…
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AI Engineer
AI Engineer@aiDotEngineer·
Everything I Learned Training Frontier Small Models @maximelabonne After a lot of hype around frontier model training, Maxime gives the practical version: what actually happens when you try to train smaller models that still matter. From data quality and synthetic data to evals, distillation, and where small models still punch above their weight, this is a concise field report from someone doing the work at @liquidai. If you're building with open models, post training, or trying to understand where the next wave of useful local-ish capability comes from, this one is worth your time. youtube.com/watch?v=fLUtUk…
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Ramin
Ramin@ramin_m_h·
on device AI communicating with us from outer space!
Liquid AI@liquidai

LFM2:3B in space, on Cluster Gate2: ✨ “This image is a highly detailed, close-up view of Earth as seen from space, likely captured by a satellite or space telescope. The Earth is depicted as a large, circular sphere with a predominantly blue hue, indicating the vast oceans that cover most of its surface. The blue is interspersed with swirling white clouds, which are particularly prominent over the landmasses, suggesting the presence of weather systems and atmospheric activity. The overall composition of the image highlights the beauty and complexity of our planet, showcasing the dynamic interplay between the oceans, atmosphere, and landmasses." Congratulations to @DPhiSpace for this incredible milestone! 🌎

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Liquid AI
Liquid AI@liquidai·
LFM2:3B in space, on Cluster Gate2: ✨ “This image is a highly detailed, close-up view of Earth as seen from space, likely captured by a satellite or space telescope. The Earth is depicted as a large, circular sphere with a predominantly blue hue, indicating the vast oceans that cover most of its surface. The blue is interspersed with swirling white clouds, which are particularly prominent over the landmasses, suggesting the presence of weather systems and atmospheric activity. The overall composition of the image highlights the beauty and complexity of our planet, showcasing the dynamic interplay between the oceans, atmosphere, and landmasses." Congratulations to @DPhiSpace for this incredible milestone! 🌎
DPhi Space@DPhiSpace

We ran an LLM onboard a satellite to describe Earth! The response comes from @liquidai LFM2 - marking the successful commissioning of our mini orbital server. Read the full story: lnkd.in/eej4MnAQ Run your own software in space: software.dphispace.com

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Neehal Tumma
Neehal Tumma@ntumm120·
Some say Gated DeltaNet > Mamba-2. Others say Mamba-2 > Gated DeltaNet. But what if Gated DeltaNet = Mamba-2? 👀 Well maybe not exactly — but with least-squares preconditioning, we show that they reduce to the same recurrence! We use this lens to design PDN, PGDN, and PKDA: preconditioned delta-style recurrences that outperform their unpreconditioned counterparts at scale 📈 📄 Paper: arxiv.org/abs/2604.21100 w/ @loo_noel @liquidai 💻 Code: github.com/ntumm120/preco…
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Ramin
Ramin@ramin_m_h·
another big thing coming soon! 👣🪧
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Liquid AI
Liquid AI@liquidai·
Start your engines. The news about our partnership with @MercedesBenz is lighting up Times Square today. Thank you to Brian Baumann (@bjbaumann2014) and the @NYSE for the support!
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Ramin
Ramin@ramin_m_h·
and we got a shoutout on our partnership with Mercedes Benz today at the Times Square from @NYSE! 🎉🏁 Read the announcement: media.mbusa.com/releases/merce…
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Alexander Amini
Alexander Amini@xanamini·
In the US, the average person spends >5 YEARS (!) of their lifetime sitting behind the wheel of a vehicle. If you include time spent as a passenger, that estimate easily doubles. I'm very proud of this partnership with @MercedesBenz — together we will be making in-car AI more capable, more responsive, and more useful to everyone. A truly AI-native vehicle is the perfect embodiment capturing the worldwide impact of massively multimodal on-device AI.
Liquid AI@liquidai

We’re entering a multi-year partnership with @MercedesBenz to scale embedded, on-device intelligence for their third- and fourth-generation MBUX. Our goal: to make the driver/vehicle relationship even more natural and effortless. Read more about our partnership: liquid.ai/press/liquid-a…

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Maxime Labonne
Maxime Labonne@maximelabonne·
LFMs powering speech, language understanding, and reasoning directly inside the vehicle Very exciting times for edge models!
Liquid AI@liquidai

We’re entering a multi-year partnership with @MercedesBenz to scale embedded, on-device intelligence for their third- and fourth-generation MBUX. Our goal: to make the driver/vehicle relationship even more natural and effortless. Read more about our partnership: liquid.ai/press/liquid-a…

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Ramin
Ramin@ramin_m_h·
Proud to partner with @MercedesBenz in a multi-year agreement to bring embedded, on-device intelligence to Mercedes-Benz vehicles, first in North America. This marks an important step toward making in-car AI more capable, more responsive, and more useful in everyday driving. At @liquidai, we believe the future of intelligence in the physical world depends on models that are fast, private, efficient, and able to run directly on the hardware already inside the system. In the vehicle, that means advancing speech, language understanding, and reasoning enabling more natural and robust conversational experiences for drivers and passengers. The software-defined vehicle is one of the most consequential real-world deployments of AI, and Mercedes-Benz has approached it with exactly the rigor this challenge deserves. Proud of what our teams are building together, and excited for the road ahead as we work toward production deployment in the second half of 2026. liquid.ai/press/liquid-a…
Liquid AI@liquidai

We’re entering a multi-year partnership with @MercedesBenz to scale embedded, on-device intelligence for their third- and fourth-generation MBUX. Our goal: to make the driver/vehicle relationship even more natural and effortless. Read more about our partnership: liquid.ai/press/liquid-a…

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Liquid AI
Liquid AI@liquidai·
We’re building on the in-house developed Mercedes-Benz Operating System (MB.OS) software architecture, and our collaboration creates a path to a first production deployment for advanced speech technology, targeting the second half of 2026. Through our partnership, @MercedesBenz will bring essential elements of the in-vehicle voice interaction stack on board – enabling customer-ready experiences across speech, language understanding and reasoning. By focusing on low latency and high efficiency, our models support natural, conversational interaction without relying on continuous data exchange with the cloud. We’re proud to partner with Mercedes-Benz on this first-in-kind project! As our CEO Ramin Hasani (@ramin_m_h) noted: “The software-defined vehicle is one of the most consequential deployments of AI in the physical world, and Mercedes-Benz has approached it with exactly the rigor it demands.”
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Liquid AI
Liquid AI@liquidai·
We’re entering a multi-year partnership with @MercedesBenz to scale embedded, on-device intelligence for their third- and fourth-generation MBUX. Our goal: to make the driver/vehicle relationship even more natural and effortless. Read more about our partnership: liquid.ai/press/liquid-a…
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Ramin
Ramin@ramin_m_h·
Shopify CTO: “I think in its hybrid form with Transformers, they [Liquid models] are probably the best architecture I’m aware of, Period.” Listen to @MParakhin as he unpacks some use-cases of our Liquid models, and Liquid’s architecture in the landscape of AI models. full episode with @swyx: youtu.be/RrkGoX3Cw7o?si…
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Luis Cruz
Luis Cruz@LCruz68511·
@liquidai will be at #ICLR2026 🇧🇷 Proud to share that several Liquid AI team members had papers accepted at ICLR 2026. Congratulations to everyone on the hard work. ZIP-RC: Zero-overhead Inference-time Prediction of Reward and Cost for Adaptive and Interpretable Generation - Rohin Manvi Antislop: A Comprehensive Framework for Identifying and Eliminating Repetitive Patterns in Language Models —-Sam Paech RL Squeezes, SFT Expands: A Comparative Study of Reasoning LLMs - Kohsei Matsutani Learning Residue Level Protein Dynamics With Multiscale Gaussians - Mihir Bafna The Curious Case of In-Training Compression of State Space Models - T. Konstantin Rusch See you in Rio!
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Liquid AI
Liquid AI@liquidai·
New Liquid Foundation Models bring agents directly to your laptop and phone, even while you are offline. Watch the latest episode of Advanced Insights where our CEO @ramin_m_h speaks about our technology and focus with @mpaper2000 of @AMD: bit.ly/3OoT5mi
AMD@AMD

AI agents are evolving and becoming more proactive. From cloud-based to on-device, these systems can run continuously, handle tasks, and keep sensitive data local. New Liquid Foundation Models bring agents directly to your laptop and phone, even while you are offline. Watch the latest episode of Advanced Insights to learn more about our partnership with @LiquidAI: bit.ly/3OoT5mi

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Keşfet

@maximelabonne @DPhiSpace @loo_noel @ramin_m_h @MercedesBenz @bjbaumann2014 @NYSE @latentspacepod