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
Reflection, a new US lab, put out Beam: a 501B mixture-of-experts model with 23B active parameters, a 1M-token context and an Apache 2.0 license.
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AI agents go beyond chat: they plan, call tools, browse and act toward a goal. How the agent loop works, the main design patterns, real uses and the risks.
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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.
AI Desk3 min read
An open-weight 501B mixture-of-experts model from Reflection for coding and agentic tasks, with a 1M-token context window.