jetbalsa

My latest and greatest ThinkPad T14s Gen 6 likes to do it sometimes on cachyos, I can't nail it down from a KDE or hardware issue as it never does it while docked or a external mouse

jetbalsa

先月議論

I also noticed they where not using XML for game state output, from what I understand most LLMs still benefit from having outputs like this put into XML tags

jetbalsa

先月議論

with the keyboard typing and call center chatter... give me a break

jetbalsa

先月議論

I found it hard stops on /anything/ Ghidra related at all, its annoying...

jetbalsa

先月議論

I suspect their tar pits where not very good, most models can tell when you are feeding it junk, I see this a good bit with ollama honeypots,

jetbalsa

2 か月前議論

I have not very well treated AuADHD and being alone with my thoughts very long is generally not very productive, At least Coding LLMs have helped me get things I wouldn't of had the attention span to make in the past come to life. and a good bit of vibe coding is just yelling at the LLM that what its doing sounds good on paper so keep going, please do the needful, make no mistakes :V

jetbalsa

2 か月前議論

Depends, the SMD caps spread across the board the tiny ones do start to fail and go out of spec over time. they are a right pain to replace and hard to spot one that has gone out of spec to cause the chip to start crashing.

jetbalsa

2 か月前議論

Thats why I've always like pytk

    from tkinter import \*

    root = Tk()
    a = Label(root, text ="Hello World")
    a.pack()

    root.mainloop()

jetbalsa

2 か月前議論

Who are you again?

jetbalsa

2 か月前議論

I've had a "Get in loser, we are going to Tau Ceti" on my car's bumper ever since the book came out

jetbalsa

2 か月前議論

Ah, The 4chan of Minecraft servers, a silly place.

jetbalsa

2 か月前議論

VPN and DNS Packages in OpenWRT eat a good bit of ram. and sometimes can be cheaper for faster speeds needed to higher packet processing.

jetbalsa

2 か月前議論

I think they are looking for full 2d graphics, bitmaps, sprites and the likes.

jetbalsa

3 か月前議論

always wanted to see if this was doable using NBD or even RBD over the internet. but I do love the ESP32 device they came up with.

jetbalsa

3 か月前議論

I know a guy who gets a bunch of old hardware as a recycler, We made the Shell On Demand Appliance for DEFCON[1] awhile back and would love to expand it, but power/internet would just cost too much. we have the hardware and software to do this. just not the long term recurring

[1] https://forum.defcon.org/node/246908

jetbalsa

3 か月前議論

I've been mostly using Kimi has a hacker of sorts, putting it places I want to attach AI directly as their API for their plans are not completely user hostile. Need to do OCR for scanning Magic the Gathering Cards. Sure!, have it attached to X4: Foundations as a AI manager for some stuff. sounds fun. Can't really do that with claude

jetbalsa

3 か月前議論

That or having it start shit posting about your crappy code base on https://moltshit.com

jetbalsa

3 か月前議論

Yep, Its pretty damn good compared to classic OCR and even more lightweight ones as well that I can run locally. the cards just vary too much over time.

jetbalsa

3 か月前議論

I'm unsure of the sizes needed for prompt cache, but I suspect its several gigs in size (A percentage of the model weight size), how would the user upload this every time they started a resumed a old idle session, also are they going to save /every/ session you do this with?

jetbalsa

3 か月前議論

The cache is stored on Antropics servers, since its a save state of the LLM's weights at the time of processing. its several gigs in size. Every SINGLE TIME you send a message and its a cache miss you have to reprocess the entire message again eating up tons of tokens in the process

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