Perhaps one day, all network services will be provided by LLMs natively. Truly, that would be a day in the future.
"Perhaps" doing enough lifting to participate in a bodybuilder contest, in that sentence
How Fast Does Claude, Acting as a User Space IP Stack, Respond to Pings?
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Re: How Fast Does Claude, Acting as a User Space IP Stack, Respond to Pings?
#22Earlier quoted context omitted.
Huh? The images are tokenized in the same way language is and it’s just fed into one single model. Not multiple smaller expert models. Image gets rasterized into smaller pieces (eg 4x4 pixels) and each of those is assigned a token, similarly how text is broken up into tokens. And the whole thing is fed into a single model.
Yes I'm saying > 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: ...". that's p much how it works.
But that isn’t a specialized model like the grandparent claimed, but rather a single, multi-modal model.
Re: How Fast Does Claude, Acting as a User Space IP Stack, Respond to Pings?
#23That'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: ...".
That's actually how vision language models already work, pretty much.
And there's a reason nobody uses them for face recognition
Vision language models are an incredible achievement in the generality and usability. But they pay a hefty price in fidelity and speed
Re: How Fast Does Claude, Acting as a User Space IP Stack, Respond to Pings?
#24This is cool, let aside the token usage, perhaps it can help analyze tcp throughput by redirect wire shark/to dump result
Re: How Fast Does Claude, Acting as a User Space IP Stack, Respond to Pings?
#25>Fun? Oh yeah!
I think this author and I have different definitions of fun.
Re: How Fast Does Claude, Acting as a User Space IP Stack, Respond to Pings?
#26Earlier quoted context omitted.
Yes I'm saying > 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: ...". that's p much how it works.
But that isn’t a specialized model like the grandparent claimed, but rather a single, multi-modal model.
Yes, the "imagine" was showcasing the opposite of a specialized model to call it a bad idea.
Re: How Fast Does Claude, Acting as a User Space IP Stack, Respond to Pings?
#27This is cool, let aside the token usage, perhaps it can help analyze tcp throughput by redirect wire shark/to dump result
Opus 4.6 is already very good at troubleshooting all kinds of network problems if it has access to the command line tshark tool and the pcap files.
Re: How Fast Does Claude, Acting as a User Space IP Stack, Respond to Pings?
#28Do some people still claim "LLMs are just dumb auto completers"?
Because this seems to disprove that claim pretty convincingly?
Re: How Fast Does Claude, Acting as a User Space IP Stack, Respond to Pings?
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Re: How Fast Does Claude, Acting as a User Space IP Stack, Respond to Pings?
#30Do some people still claim "LLMs are just dumb auto completers"? Because this seems to disprove that claim pretty convincingly?
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