| ▲ | How Fast Does Claude, Acting as a User Space IP Stack, Respond to Pings?(dunkels.com) | |||||||||||||||||||||||||||||||
| 57 points by adunk 8 hours ago | 12 comments | ||||||||||||||||||||||||||||||||
| ▲ | fouc an hour ago | parent | next [-] | |||||||||||||||||||||||||||||||
think about how much faster it would've been with a small local model! | ||||||||||||||||||||||||||||||||
| ▲ | ValdikSS 4 hours ago | parent | prev | next [-] | |||||||||||||||||||||||||||||||
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: ...". | ||||||||||||||||||||||||||||||||
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| ▲ | westurner 4 hours ago | parent | prev | next [-] | |||||||||||||||||||||||||||||||
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} | ||||||||||||||||||||||||||||||||
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| ▲ | brcmthrowaway 4 hours ago | parent | prev | next [-] | |||||||||||||||||||||||||||||||
Next up: Claude replacement to handle simdjson processing. | ||||||||||||||||||||||||||||||||
| ▲ | jeremyjh 2 hours ago | parent | prev [-] | |||||||||||||||||||||||||||||||
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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