Bettina Schlager

Building 3D User Interfaces @Columbia University #XR #3DUI

[Ramin @ramin_m_h]

AI infra has a memory problem and we have a Liquid solution for it!

https://t.co/61HZM6PuGR

[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! 🌎

[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: https://t.co/Glpu87KuJs

[Bettina Schlager @_bschlag]

I like this feature way too much

[Liquid AI @liquidai]

Today, we release LFM2.5-350M. Agentic loops at 350M parameters.

A 350M model trained for reliable data extraction and tool use, where models at this scale typically struggle.

<500MB when quantized, built for environments where compute, memory, and latency are constrained.

🧵

[Liquid AI @liquidai]

AI is beginning to move beyond the clouds…

Registration is open for Hack #05: AI in Space, in collaboration with @DPhiSpace. A hackathon exploring what becomes possible when AI operates closer to satellites, orbital systems, and space-based data.

For developers, researchers, and builders interested in the future of AI in space.

Register → https://t.co/3HMcL2E9zo
Learn more → https://t.co/Y0Qs1KN01j 🚀
Join the conversation → https://t.co/j4hJBMRdJI

[Liquid AI @liquidai]

> 385ms average tool selection.
> 67 tools across 13 MCP servers.
> 14.5GB memory footprint.
> Zero network calls.

LocalCowork is an AI agent that runs on a MacBook. Open source.

🧵

[almonk @almonk]

ok hear me out - TikTok but for accepting PR suggestions from background agents running over your codebases…

Doom scroll your codebase better?

[Bettina Schlager @_bschlag]

In the AI era, “discoverable” = “queryable.”
If a website or webapp has dynamic data (locations, inventory, pricing, availability) an API isn’t a nice-to-have anymore. It’s how AI agents discover and route users to services and products.

[Bettina Schlager @_bschlag]

I am obsessed

[Jose @josesaezmerino]

My Clawdbot lives in a Mac mini inside a G4 iMac. I asked it to create an animated face for itself and it just did it. Even added a sleeping animation I didn’t ask for initially.

Incredible @steipete

[Bettina Schlager @_bschlag]

I think I unlocked a weird elevator feature today. I pressed ‘Close Door’ and it verbally apologized for not being fast enough.

[Liquid AI @liquidai]

Today, we’re announcing our partnership with @Shopify to bring Liquid Foundation Models (LFMs) to core commerce experiences. Shopify will license LFMs to enhance search and recommendations, improving relevance, conversions, and customer experience at scale.

The first production deployment is a sub‑20ms LFM that enhances search.

Shopify and Liquid have also co-developed a generative recommender model with a novel HSTU architecture. In controlled tests, the model beat the previous stack, leading to higher conversion rates from recommendations. 👇

[Liquid AI @liquidai]

Introducing Liquid Nanos ⚛️ — a new family of extremely tiny task-specific models that deliver GPT-4o-class performance while running directly on phones, laptops, cars, embedded devices, and GPUs with the lowest latency and fastest generation speed.

> model size: 350M to 2.6B
> built on LFM2, our v2 efficient model architecture
> perform competitively with models up to hundreds of times larger
> enable core agentic tasks: precise data extraction, multilingual translation, tool call, math, and RAG. 1/n

[Bettina Schlager @_bschlag]

I really wanted to like the Liquid Glass look, but no thank you.

[Liquid AI @liquidai]

Big step for on-device AI:

Liquid AI’s Edge Platform, LEAP, now supports @AMD Ryzen™ and Ryzen AI™ processors, bringing powerful, low-latency AI directly to laptops.

Here’s what it means for developers and enterprises 🧵

[Bettina Schlager @_bschlag]

Every time I try an “AI plugin” for Zotero, I’m reminded that dreams and reality are very different things. Would love to see a make a Zotero-Cursor hybrid

[Ramin @ramin_m_h]

we will be having 3 grand hackathons soon at @liquidai offices in Boston, SF, and Tokyo. This is called “Bohemian Rhapsody, the Liquid edition”. you will build a wild ai agent with a swarm of tiny models to match/surpass frontier models in the real-world app of choice.

join our discord channel to learn more: liquid-ai

what do you want as the prize pool?

[Liquid AI @liquidai]

Today, we release LEAP, our new developer platform for building with on-device AI — and Apollo, a lightweight iOS application for vibe checking small language models directly on your phone.

With LEAP and Apollo, AI isn’t tied to the cloud anymore. Run it locally when you want, for speed, privacy, and reliability, using LEAP’s end-to-end toolkit for on-device AI.

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[Liquid AI @liquidai]

Try LFM2 with llama.cpp today!

We released today a collection of GGUF checkpoints for developers to run LFM2 everywhere with llama.cpp

Select the most relevant precision for your use case and start building today.

https://t.co/9MIIajq6i1

[Liquid AI @liquidai]

Today, we release the 2nd generation of our Liquid foundation models, LFM2.

LFM2 set the bar for quality, speed, and memory efficiency in on-device AI.

Built for edge devices like phones, laptops, AI PCs, cars, wearables, satellites, and robots, LFM2 delivers the fastest on-device gen-AI experience on the market. 1/