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  "markdown": "Co-founder.\n\nDaniela Rus co-founded Liquid AI, which spun out of MIT CSAIL. She is director of CSAIL and the Panasonic Professor of Computer Science at MIT, known for work in robotics and AI including distributed, soft and self-reconfiguring robots. She is a MacArthur fellow.\n\n- LinkedIn: https://www.linkedin.com/in/daniela-rus-220b3\n\n## What Daniela builds\n\n- [LFM2.5-2.6B](https://www.anchorterminal.com/tools/lfm2-5-2-6b.md), graded D, 51.5/100, in Open-weight models. LFM2.5-2.6B is Liquid AI's open-weight 2.6B hybrid model of convolution and attention layers for on-device agents, with tool calling, thinking always on and a 131,072-token context, published on 4 August 2026 with Liquid's own GGUF, MLX and ONNX builds. Co-founder, researched 2026-10-27.\n- [Liquid d1](https://www.anchorterminal.com/tools/liquid-d1.md), graded E, 44.8/100, in Decision models. d1 is Liquid AI's decision model family. It answers typed yes or no, choice and score questions about text and images with probabilities, through the hosted d1 and d1-ultra models and the open-weight d1-3B and d1-omni-600M. Co-founder, researched 2026-10-27.\n\n## Works with\n\n- [Alexander Amini](https://www.anchorterminal.com/people/alexander-amini/), Co-founder and Chief Science Officer\n- [Mathias Lechner](https://www.anchorterminal.com/people/mathias-lechner/), Co-founder and CTO\n- [Ramin Hasani](https://www.anchorterminal.com/people/ramin-hasani/), Co-founder and CEO\n- [Tim Seyde](https://www.anchorterminal.com/people/tim-seyde/), Post-training researcher at Liquid AI\n\n## Backed by\n\n- [AMD](https://www.anchorterminal.com/investors/amd/)\n\n## Questions\n\n### Who is Daniela Rus?\n\nDaniela Rus co-founded Liquid AI, which spun out of MIT CSAIL. She is director of CSAIL and the Panasonic Professor of Computer Science at MIT, known for work in robotics and AI including distributed, soft and self-reconfiguring robots. She is a MacArthur fellow.\n\n### What does Liquid AI make?\n\nAnchor Terminal lists LFM2.5-2.6B and Liquid d1 from Liquid AI. LFM2.5-2.6B is Liquid AI's open-weight 2.6B hybrid model of convolution and attention layers for on-device agents, with tool calling, thinking always on and a 131,072-token context, published on 4 August 2026 with Liquid's own GGUF, MLX and ONNX builds.\n\n### Who has invested in Liquid AI?\n\nThe sources our research read name AMD.\n\n### How are Daniela's tools graded?\n\nLFM2.5-2.6B is graded D, 51.5 out of 100; Liquid d1 is graded E, 44.8 out of 100, on Anchor Terminal's benchmark, which scores every listing against the same checklist.\n\n## Sources\n\n- https://www.liquid.ai/company\n- https://www.raminhasani.com/#home\n- https://www.liquid.ai/blog/d1-decision-model\n- https://www.linkedin.com/in/raminhasani\n- https://twitter.com/ramin_m_h\n- https://mlech26l.github.io/\n- https://www.linkedin.com/in/mlech26l\n- https://x.com/mlech26l\n- https://www.mit.edu/~amini/\n- https://www.linkedin.com/in/alexanderamini\n- https://www.linkedin.com/in/daniela-rus-220b3\n- https://www.liquid.ai/blog/lfm2-5-2-6b\n- https://tseyde.github.io\n- https://x.com/timseyde\n- https://www.liquid.ai/\n- https://www.liquid.ai\n- https://www.liquid.ai/connect\n- https://docs.liquid.ai/lfm/models/lfm25-2.6b\n\nThese are the people building the tools we list, named for their public role in the company or project behind a listing, from public pages, with the date it was researched. They don't work for Anchor Terminal (our own team is on the about page, /about/#author). We show public roles, public profiles and what the listing pages show, nothing private. To correct something, send an about or a photo, or have a page removed, write to privacy@anchorterminal.com.\n",
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