From the meLink team
Category: Open Source AI
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Liquid D1 Moves Multimodal Decisions to the Edge
Liquid D1 brings compact open-weight decision models to text, vision and audio, giving builders a clearer way to route bounded…
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GPT-6 and Claude Haiku 5.5 Split the Agent Stack
GPT-6 and Claude Haiku 5.5 make a split agent stack practical: richer customer interactions paired with fast, lower-cost supporting work.
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Mistral Large 4 Brings Trillion-Scale Open Weights
Mistral Large 4 brings frontier open weights to controlled agent workflows. Learn why deployment design still matters.
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Reflection Beam Open-Weight Model Targets Agents
Reflection AI previews Beam, a 501B open-weight MoE model for agents. The real test begins when its weights and evidence…
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Strata Qwen 3.8 Hits 100 Tokens/Sec Locally
Strata Qwen 3.8 is testing a useful local-AI pattern: sparse routing, private API compatibility and measurable trade-offs before production.
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Kolibri Model Brings 1M Tokens to Sovereign AI
Kolibri Model is Aleph Alpha’s new open-weight model: 1M-token context, 3B active parameters and deployment control for regulated AI work.
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ds4 Runs DeepSeek V4 Locally, With a Catch
ds4 runs DeepSeek V4 locally through a native inference engine, showing where private AI control becomes possible—and costly.
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DeepSeek Harness Puts Plugins on the Desktop
DeepSeek Harness reaches the desktop as Cloudflare Clef shows why agent systems need smaller, testable decision layers.
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Gemini 4 Argon Raises the Ceiling for Agent Work
Gemini 4 Argon puts longer agent trajectories in focus, but its phased release shows why bounded workflows and review still…
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Ember-1 Cuts Agent Reasoning Tokens by 40%
Ember-1 targets a costly agent problem: repeated reasoning. Here is why token-efficient model serving deserves a closer look.