Jonathan Mears @JonathanDMears
bringing teams together @liquidai Joined April 2013-
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Ummm.... Siri, Google Home, Alexa... absolutely local!
@liquidai LFM3-Audio is here! I can now chat with my... lamp, running 100% locally 🤯
LFM3 delivers high performance across text, vision, audio, and omni modalities. Pick your model, fine-tune it on 1 GPU, and deploy on-device. Proud to see what @liquidai is building 🚀
Introducing 𝙻𝙵𝙼𝟹: our new generation of Liquid Foundation Models. With a new tri-hybrid architecture and new multimodal encoders, the LFM3 family is the ideal model suite for specialized intelligence. > 6 model instances, across text, audio, vision, and omni modalities,
scaled production-grade inference with Liquid RIPL. It delivers ultra-low latency performance at peak load. technically can handle google-scale inbounds for e-commerce, search, recommendation, ads, fraud, payments and more!✨ get in touch ⏬
Today, we announce 𝙻𝚒𝚚𝚞𝚒𝚍 𝚁𝙸𝙿𝙻 (real-time inference pipeline), our ultra low-latency inference engine built to put LFMs directly in the request path of real-time workloads like search, ads, fraud, recommendations, and payments. > complete generated responses end-to-end
RIP! => Latency! Hello speed!
Today, we announce 𝙻𝚒𝚚𝚞𝚒𝚍 𝚁𝙸𝙿𝙻 (real-time inference pipeline), our ultra low-latency inference engine built to put LFMs directly in the request path of real-time workloads like search, ads, fraud, recommendations, and payments. > complete generated responses end-to-end
what is this d1-ultra? 👁️
wtf is d1 ultra?? its cheaper than jev and way smarter?
JevBench v1.7.46 (API offerings only) is live! Notable changes: - 🥇 Brand new d1-ultra is leading the pack at Composite Score. - Lots of strong new model versions in the Top 10. - Very cheap with good capability: Instinct Dual 4B - Very fast with good capability: attest-31B-v1.0
Liquid AI just released d1-ultra, its most capable decision model yet. It reads text, images, or both and answers in a single forward pass. There is no generation: it returns a yes/no probability, probabilities across labels, or a score on a scale, with zero output tokens. According to Liquid AI, d1-ultra ranks #1 on the Artificial Analysis Decision Index with a score of 65. It also leads all 8 categories across Liquid’s 112-evaluation suite and supports 44 languages. The core focus is calibration, not just accuracy. Artificial Analysis found that every decision model it tested was overconfident. Liquid trained d1-ultra specifically to produce reliable probabilities and reports the lowest calibration error of any model it evaluated. That makes the outputs usable for automation thresholds and for routing uncertain cases to human review. Under the hood, d1-ultra moves to a larger open-weight backbone with heavy Liquid-specific customizations. Paired with Liquid’s decision-model training pipeline, the biggest gains are on knowledge tasks, where the earlier d1 was weakest. Pricing matches TypeSafe’s Jev at $0.042 per 1M input tokens, with no output-token charges...... Full analysis: marktechpost.com/2026/10/15/liq… Blog: liquid.ai/blog/d1-ultra Docs: docs.liquid.ai/lfm/models/dec… Playground: d1.liquid.ai @liquidai
Happy decision day! d1-ultra is a beautifully calibrated decision model for the hardest problems. do not look too much into benchmarks, just give it a try. 🌱 it’s cheap, it’s the best and it’s reliable.
Today we release 𝚍𝟷-𝚞𝚕𝚝𝚛𝚊, our most powerful decision model. > built for hard decision problems. > d1-ultra is multimodal > supports 44 languages > #1 on the @ArtificialAnlys Decision Index (65) > leads all eight categories of our 112-evaluation suite 1/
we just shipped our 24B, then @maximelabonne shows me another insane results from an alternate universe! and here we go, we have another release tomorrow, so buckle up folks 🌱🍀🌲
The decision wars! @liquidai leads all eight categories of our 112-evaluation suite - less than a day after the Jev release.
Today we release 𝚍𝟷-𝚞𝚕𝚝𝚛𝚊, our most powerful decision model. > built for hard decision problems. > d1-ultra is multimodal > supports 44 languages > #1 on the @ArtificialAnlys Decision Index (65) > leads all eight categories of our 112-evaluation suite 1/
folks, just go with the d1 models for your decision use-cases! its just getting started 🌊 Incredible explainer @TheTuringPost 🙏🏻✨ Openrouter: openrouter.ai/liquid/d1 HF: huggingface.co/LiquidAI/d1-3B HF: huggingface.co/LiquidAI/d1-om…
stumbled over this fantastic video by @TheTuringPost on our open d1 models. this week we released our open d1 decision models and this video discusses: • why fast & multimodal decision models are important • why building on LFM2.5 models enables fast decisions • what use
Thank you @TheTuringPost for the shout out! I love seeing our tech team's hard work get recognized!
Decision models are popping up like mushrooms after summer rain, but I think @liquidai’s new Open d1 deserves a closer look. They are famous for building models that can efficiently work right on the device. And their new decision models might be a missing piece for Physical AI.
@liquidai keeps going with amazing decision models!
Today we release Open d1: two open-weight multimodal models in our d1 decision model family. > d1-3B: text + vision > d1-omni-600M: text + image or text + audio > Real-time decision making anywhere, from data centers such as @nvidia DGX to RTX workstations to Jetson at the edge.
@liquidai is the next big thing! fastcompany.com/91612044/found…
d1 is now available on @vercel AI gateway!We worked with the amazing vercel team to make d1 accessible for you. give it a try Vercel 🤝 Liquid vercel.com/ai-gateway/mod…
D1 from @liquidai is live on OpenRouter. It's a competitive decision model: send your app's state and yes/no, choice, or score questions, and get back typed answers with a probability for every option. Zero data retention. $0.04/M input, $0 output, 65K context openrouter.ai/liquid/d1
Announcing d1, our first decision model. It's the first model to outperform Jev on @huggingface's Decision Index. > wins on multilingual evals > more robust against prompt injection > handles longer inputs more effectively > built for fast, structured decision-making in software environments > Liquid API: console.liquid.ai > Available on OpenRouter soon
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