Top all-time · #1935
Liquid AI
Company blog · liquid.ai/blogai
Liquid AI is the company blog at liquid.ai, writing about ai. Since 2023, 38 different Hacker News readers have linked it 47 times, most often “Designing Loops for Production-Grade Work”. No feed was found, so read it on the site itself.
Liquid AI builds efficient Liquid Foundation Models (LFMs) for on-device, edge, and cloud AI with low latency, privacy, and hardware-aware deployment.
Most-linked posts?
- Designing Loops for Production-Grade Work3 people · 3 mentions · first linked 2026-08-18
- /blog/liquid-neural-networks-research3 people · 3 mentions · first linked 2024-09-30
- LFM2.5-24B-A2B: Built for fast on-device agents3 people · 3 mentions · first linked 2026-10-13
- Liquid AI reveals 8B-A1B MoE trained on 38T3 people · 3 mentions · first linked 2026-05-28
- Liquid AI D1-Ultra2 people · 2 mentions · first linked 2026-10-15
- Open d1: Edge decision models for text, vision, and audio2 people · 2 mentions · first linked 2026-10-08
- LFM2-24B-A2B: Scaling Up the LFM2 Architecture2 people · 2 mentions · first linked 2026-02-24
- Liquid Foundation Models: Our First Series of Generative AI Models2 people · 2 mentions · first linked 2024-09-30
What Hacker News says?
Anyone know how to turn off code mode? I just tried the excellent local https://www.liquid.ai/blog/lfm2-5-24b-a2b model, but the model is trained to talk in bash, while OpenCode stubbornly expects JavaScript, and there seems to be no way to make them work together. The model itself performs excellently in pi.
Comment linking /blog/lfm2-5-24b-a2b
on “OpenCode 2.0”Submitted LFM2.5-24B-A2B: Built for fast on-device agents as a story · 288 points
HN discussionI've been impressed with CfCs --- and the stuff Liquid https://www.liquid.ai/research/liquid-neural-networks-resear... is trying to do: model neurons as differential equations, and use CfC methods to alleviate runtime ODE solving, using approximations (or tight integral bounds), so there’s often a tradeoff between approximation error and speed. https://chatgpt.com/share/68f2ada8-06ac-8002-9191-269b0cbba4... The Big…
Comment linking /research/liquid-neural-networks-research
on “Intercellular communication in the brain through a dendritic nanotubular network”Submitted Liquid Foundation Models: Our First Series of Generative AI Models as a story · 183 points
HN discussionThey explain their architecture in more detail here: https://www.liquid.ai/blog/liquid-neural-networks-research .
Comment linking /blog/liquid-neural-networks-research
on “Liquid Foundation Models: Our First Series of Generative AI Models”Submitted Introducing LFM3: Every Modality for Specialized Intelligence as a story · 171 points
HN discussionno transformers, from their blog post: "Specifically, our analysis informs model building by improving three key aspects: token-mixing structure (how the operator mixes embeddings in the input sequence), channel-mixing structure (how it mixes channel dimensions), and featurization, responsible for modulating computation based on the input context." https://www.liquid.ai/liquid-foundation-models
Comment linking /liquid-foundation-models
on “Liquid Foundation Models: Our First Series of Generative AI Models”Submitted Liquid AI D1-Ultra as a story · 7 points
HN discussionWell... they at least admit that their model is bad at this [0] > What are Language LFMs not good at today: - Zero-shot code tasks - Precise numerical calculations - Time-sensitive information - Counting r's in the word "Strawberry"! [0] https://www.liquid.ai/liquid-foundation-models#reimagining-m...
Comment linking /liquid-foundation-models
on “Liquid Foundation Models: Our First Series of Generative AI Models”Submitted Open d1: Edge decision models for text, vision, and audio as a story · 6 points
HN discussionMore citations from their blog[1] too. [1] https://www.liquid.ai/blog/liquid-neural-networks-research
Comment linking /blog/liquid-neural-networks-research
on “Liquid Foundation Models: Our First Series of Generative AI Models”Submitted LFM2-2.6B: Redefining Efficiency in Language Models as a story · 5 points
HN discussionthis is the "paper": a list of citations https://www.liquid.ai/blog/liquid-neural-networks-research i guess they're not really making an effort to explain how specifically all this comes together to create LFMs. other finds https://x.com/swyx/status/1840794198913794236
Comment linking /blog/liquid-neural-networks-research
on “Liquid Foundation Models: Our First Series of Generative AI Models”Submitted LFM2.5-24B-A2B: Built for Fast On-Device Agents as a story · 4 points
HN discussionIf the past is any indication, edge models will be the norm. I recently attended a panel at the Computer History Museum where Daniela Rus spoke about her company Liqued AI and it's edge models. Redefining what’s possible on the edge. Liquid’s edge-native stack delivers the fastest AI with zero cloud dependencies — powered by LFM2, built with LEAP, experienced in Apollo. https://www.liquid.ai/
Comment linking /
on “Reddit Cofounder Ohanian Says Much of the Internet Is Now Dead”Submitted Reducing Doom Loops with Final Token Preference Optimization as a story · 4 points
HN discussioni'd love to get to a point where big models can launch subagents that are fast and local. there's a lot of focus on token rate, but just as much, it feels like there's other latencies that are there with these big batched processing runs, and i think local might have some real wins. Gemma 4 seems already on the right track. lfm2.5-8b-a1b ( https://www.liquid.ai/blog/lfm2-5-8b-a1b ) and DiffusionGemma seem to both be…
Comment linking /blog/lfm2-5-8b-a1b
on “Running local models is good now”Submitted D1-Ultra: Introducing the Best Decision Model as a story · 3 points
HN discussionThe only takeaway for me from this is that the Ente is at < $10m/year in revenue. Because the LFM model license has a commercial use threshold of $10m. https://www.liquid.ai/lfm-license
Comment linking /lfm-license
on “Local LLM by Ente”Submitted Pipette: A benchmarking suite for on-device intelligence as a story · 3 points
HN discussionSubmitted LFM2.5-DSpark: Up to 3.2x Faster Inference from H100 to MacB as a story · 3 points
HN discussionSubmitted LFM2.5-VL-3B: A Better and Faster Vision-Language Model for the Edge as a story · 3 points
HN discussionSubmitted LFM2-VL: Efficient Vision-Language Models as a story · 3 points
HN discussionSubmitted LFM-7B: Setting New Standards for Efficient Language Models as a story · 3 points
HN discussionSubmitted RIPL: Real-time Intelligence When Every Millisecond Counts as a story · 2 points
HN discussionSubmitted Liquid AI releases Pareto-frontier, multimodal decision model for the edge as a story · 2 points
HN discussionSubmitted d1: The most capable decision model, now with vision as a story · 2 points
HN discussionSubmitted Designing Loops for Production-Grade Work as a story · 2 points
HN discussionSubmitted Designing Loops for Production-Grade Work as a story · 2 points
HN discussionSubmitted LFM2.5-2.6B: Deploy Agents Everywhere as a story · 2 points
HN discussion