Liquid AI releases LFM2.5-24B-A2B, a reasoning model for on-device agents
Liquid AI introduced LFM2.5-24B-A2B, a 24B-parameter reasoning model with just 2B active parameters, built to run fast, private agents on local hardware.
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Every Latent Daily story, tool, model and resource tagged “Agents”.
Liquid AI introduced LFM2.5-24B-A2B, a 24B-parameter reasoning model with just 2B active parameters, built to run fast, private agents on local hardware.
AI Desk1 min read
MCP is an open standard for connecting AI assistants to tools and data. How servers, clients and tools work, how to try it, and the security points to know.
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How language models power conversational game characters, how procedural generation creates worlds, and the design, cost and safety challenges studios face.
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What n8n is, how its visual workflows and AI nodes work, example automations, self-hosting versus cloud, and when it is a better choice than Zapier or code.
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The structural trends shaping AI — agents, reasoning models, falling costs, multimodality, on-device AI and regulation — and the signals that show which are real.
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An open-weight 501B mixture-of-experts model from Reflection for coding and agentic tasks, with a 1M-token context window.