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How Fast Does Claude, Acting as a User Space IP Stack, Respond to Pings?

49 pointsby adunkyesterday at 11:02 PM9 commentsview on HN

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fouctoday at 5:38 AM

think about how much faster it would've been with a small local model!

ValdikSStoday at 2:27 AM

That's why LLM will eventually be used only for initial interaction between the user in their language, to prepare the data to a specialized model.

Imagine face recognition to work like a text chat, where the PC gets the frame from the camera and writes in the chat: "Who's that? Here's the RGB888 image in hex: ...".

westurnertoday at 3:01 AM

Wouldn't this be faster with an agent skill that has code?

/skill-creator [or /create-skill] Write an agent skill with code script(s) that use an existing user space IP library that works with your agent runtime, to [...]

ComposioHQ/awesome-claude-skills: https://github.com/ComposioHQ/awesome-claude-skills

anthopics/skills//skill-creator/SKILL.md: https://github.com/anthropics/skills/blob/main/skills/skill-...

/.agents/skills/skill-name/SKILL.md, scripts/{script_name.py,__init__.py}

https://agentskills.io/what-are-skills

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brcmthrowawaytoday at 2:38 AM

Next up: Claude replacement to handle simdjson processing.

jeremyjhtoday at 4:47 AM

Perhaps one day, all network services will be provided by LLMs natively. Truly, that would be a day in the future.

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