Open-model scale moved the bottleneck into serving
Open-model deployment is now a systems problem, not just a weights problem. Kimi K3 activates 104B of 2.8T parameters across a 1M-token context, while Together's load test found that in-flight requests scaled under saturation when GPU utilization and TTFT did not.
The August 1 guide turns a 2.8T-parameter, 1M-context model into an OpenAI-compatible deployment path; treat it as platform documentation, not an independent benchmark.
The first official Hermes Desktop plugin is Kanban, now desktop native by popular request and significantly upgraded.
A plugin can add its own page, sidebar row, hotkeys, status bar actions, and backend endpoints. You can write your own plugin or import one using the SDK.…
The first official Hermes Desktop plugin is Kanban, now desktop native by popular request and significantly upgraded.
A plugin can add its own page, sidebar row, hotkeys, status bar actions, and backend endpoints. You can write your own plugin or import one using the SDK. https://t.co/kBaRNw2Dbn
The first official plugin can add pages, navigation, hotkeys, status actions, and backend endpoints, turning a chat client into an extensible workspace.
Sentiment
scale rising, serving exposed+0.31
40 posts · 82% confidence
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