Liquid Ai
PulseAugur coverage of Liquid Ai — every cluster mentioning Liquid Ai across labs, papers, and developer communities, ranked by signal.
- 2026-06-19 product_launch Liquid AI released two new retrieval models for multilingual search. source
- 2026-06-19 product_launch Liquid AI released two new retrieval models, LFM2.5-Embedding-350M and LFM2.5-ColBERT-350M, designed for efficient multilingual search on edge devices. source
- 2026-05-29 product_launch Liquid AI released its LFM2.5-8B-A1B model, featuring an expanded context window and increased training data. source
- 2026-05-26 product_launch Liquid AI launched two new Japanese-capable AI models, LFM2.5-1.2B-JP-202606 and LFM2.5-Audio-1.5B-JP. source
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Liquid AI releases smallest on-device model, LFM2.5-230M
Liquid AI has launched LFM2.5-230M, their most compact model yet. This open-weight model, with 230 million parameters, is designed for on-device operation on edge hardware. It achieves speeds of 213 tokens/s on a Samsun…
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Liquid AI ships tiny LFM2.5-230M for on-device agent tasks
Liquid AI has released LFM2.5-230M, its smallest model to date, designed for on-device inference on edge hardware like phones and robots. This 230-million-parameter model excels at data extraction and tool use, outperfo…
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OpenAI internal AI usage surges; new open models and agent capabilities emerge
OpenAI has reported a significant increase in internal AI model usage across various departments, with median output tokens for Codex growing by as much as 56x in Research since November 2025. This surge in token consum…
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Liquid AI releases compact multilingual search models for edge devices
Liquid AI has launched two new retrieval models, LFM2.5-Embedding-350M and LFM2.5-ColBERT-350M, each with 350 million parameters. These models are designed for efficient multilingual search across 11 languages and can o…
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AI economy booms amid cost concerns and innovation in model deployment
The AI economy is experiencing significant growth, with sales reaching $110 billion in the past year and an annualized revenue run rate exceeding $175 billion. However, this expansion is accompanied by concerns about th…
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AI-DNA startup Radical Numerics raises $50M seed funding
Radical Numerics, a startup founded by researchers who developed AI models for DNA generation, has secured $50 million in seed funding. The company aims to revolutionize biology by teaching AI to understand and generate…
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New tool simplifies local AI model selection with curated filters
A new tool aims to simplify the selection of local AI models by curating options from various labs, including Google and Mistral. The platform allows users to filter models based on specific criteria to find suitable on…
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Liquid AI releases free Japanese-language AI model for edge inference
Liquid AI has released a new Japanese-language AI model designed for edge inference, making it freely available. This model is capable of processing voice and language, enabling on-device AI capabilities. The release ai…
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Tutorial shows LFM2 fine-tuning with QLoRA and DPO
This tutorial demonstrates how to fine-tune the LFM2 model using QLoRA and Direct Preference Optimization (DPO) on Google Colab. It covers loading the base LFM2 model with 4-bit quantization, preparing a dataset for sup…
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Anthropic ships Opus 4.8; Tencent model tops Claude; Groq seeks $650M
Anthropic has released Opus 4.8, though details about its capabilities are scarce. Separately, a model developed by Tencent has surpassed Anthropic's Claude in performance on the OpenRouter platform. Meanwhile, Groq is …
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Liquid AI ships 8B MoE model with 128K context for on-device tool use
Liquid AI has released LFM2.5-8B-A1B, an 8-billion parameter Mixture-of-Experts model designed for efficient on-device tool calling. This new version significantly expands the context window to 128,000 tokens and scales…
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Liquid AI launches Japanese text and audio LLMs
Liquid AI has released two new Japanese-language models: LFM2.5-1.2B-JP-202606, a text-based chat model that shows improved performance in knowledge, instruction following, and coding, and LFM2.5-Audio-1.5B-JP, a multim…
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Liquid AI ships LFM2.5-8B-A1B on-device MoE model
Liquid AI has released LFM2.5-8B-A1B, a new on-device Mixture-of-Experts (MoE) model designed for complex tasks and tool chaining. This model features 8.3 billion total parameters but activates only 1.5 billion per toke…
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Liquid AI releases LFM2-24B-A2B, an efficient 24B parameter MoE model
Liquid AI has released an early checkpoint of its LFM2-24B-A2B model, a sparse Mixture of Experts (MoE) architecture with 24 billion total parameters and 2 billion active parameters per token. This model demonstrates th…
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MIT, Liquid AI, and Max Planck develop CompreSSM for AI model compression during training
Researchers from MIT, Liquid AI, and the Max Planck Institute have developed a novel technique called CompreSSM. This method enables the compression of AI architectures during the training process itself. The innovation…
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Shopify CTO details AI integration, new workflows, and deployment challenges
Shopify CTO Mikhail Parakhin discussed the company's extensive AI integration, highlighting a significant shift in model quality around December that accelerated adoption. He emphasized that the primary challenges in AI…