Earlier quoted context omitted.
In the US, people's jobs effectively justify their existence. Smugly saying mid or late career professionals can "become water" when their entire career category faces collapse is the most patronizing thing I've heard in a long time. That's a non-recoverable blow to many smart, capable people. There's a big difference between demanding we stop the wheels of progress to protect a few people and saying we owe the masse…
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TextSynth Server
91–100 of 115 posts
Re: TextSynth Server
#92> The GPU version is commercial software. Please contact... Shame.
"Shame. I cannot take the code / binary and run it as a SaaS efficiently." - HNers Good for him to commercialize it, and at least he is not pretending to be a non-profit accepting VC money.
I do believe one of the failures of GPL was not being AGPL from the start.
Re: TextSynth Server
#93I've been feeling FOMO (for lack of a better term) about recent AI & ML/GPT progression. It feels like ML/AI it might be the beginning of the end for a large class of things (if I wanted to be alarmist I'd say "everything") -- and the fact that Fabrice Bellard has jumped in and done the absolutely obvious rising-tide thing (building an API that abstracts the technologies) speaks volumes. Releasing something like this…
Every one of these articles fills me with a related kind of dread. My whole life, my whole personality is architected around making things by hand for other people . My ideal world is a hipster stereotype where we all sit around using a small number of artisanal products to make other artisanal products for each other. The arc of my programming career has gone lower and lower down the stack because when I create, I e…
I don't think I should despair too much, and simply grant triumph to a statistical steamroller.
The value is we'll still be making stuff, or yearning for it, and AI becomes a part of our toolkit (or never). Perhaps in your case, we will see Prompt Engineering Patterns someday.
I intend to plop down a tiny fortune enabling my children to have obscene hardware for wherever their personal projects take them, and server-grade CPUs, multiple GPUs, and fiber will be a given.
Just know you're standing at a height somewhere above, and as a giant to me I hope you can see farther ahead :)
Maybe we'll retreat more into our personally-named server, managing a handful of like-minded users, crafting rooms in a MUD no one will read. We'll publish stats for our packet filter, read stories typed by hand, and make little games.
There are still lots of problems we would be completely new to in many domains, people suffering injustice, and are those not things we might be interested in as well?
For sake of learning things, we are still satisfied. Even if AI were to generate it in an instant. For sake of satisficing our home labs and side projects, we find a tiny reprieve.
Re: TextSynth Server
#94Earlier quoted context omitted.
In the US, people's jobs effectively justify their existence. Smugly saying mid or late career professionals can "become water" when their entire career category faces collapse is the most patronizing thing I've heard in a long time. That's a non-recoverable blow to many smart, capable people. There's a big difference between demanding we stop the wheels of progress to protect a few people and saying we owe the masse…
Not all that long ago people on this very site were super enthusiastic about the prospect that my job would very likely be taken over by the robots. Because, you see, the robots didn’t need to be perfect but merely fractionally safer than the humans. Now all I see is No True Scotsman arguments on why the current crop of AI won’t take away their jobs and, ironically, my job is pretty safe due to Tesla’s tomfoolery cau…
Re: TextSynth Server
#95Earlier quoted context omitted.
Apparently the point is proving it's possible. Not making it useful.
No, that was not the point at all. The point is that ChatGPT understands the code well enough to explain what it does, and so there's reason to wonder how soon someone leverages that in a disassembler to produce far better output to the point where using releasing "only" the binary as an obfuscation mechanism stops being viable. E.g. additional value would be comments about purpose, labels for function entry points t…
Re: TextSynth Server
#96Earlier quoted context omitted.
No, that was not the point at all. The point is that ChatGPT understands the code well enough to explain what it does, and so there's reason to wonder how soon someone leverages that in a disassembler to produce far better output to the point where using releasing "only" the binary as an obfuscation mechanism stops being viable. E.g. additional value would be comments about purpose, labels for function entry points t…
https://github.com/20urc3/Sekiryu
Re: TextSynth Server
#97I've been feeling FOMO (for lack of a better term) about recent AI & ML/GPT progression. It feels like ML/AI it might be the beginning of the end for a large class of things (if I wanted to be alarmist I'd say "everything") -- and the fact that Fabrice Bellard has jumped in and done the absolutely obvious rising-tide thing (building an API that abstracts the technologies) speaks volumes. Releasing something like this…
Every one of these articles fills me with a related kind of dread. My whole life, my whole personality is architected around making things by hand for other people . My ideal world is a hipster stereotype where we all sit around using a small number of artisanal products to make other artisanal products for each other. The arc of my programming career has gone lower and lower down the stack because when I create, I e…
Not sure if there's a conflict here. We still use compilers, right? Unless we write in machine instructions, there's always some kind of program generations somewhere.
> I get no joy out of duct taping a few libraries together (though I respect others who do).
You still can work on stuff that requires human ingenuity . If you look at the the credits section of the GPT-4 paper, you will see many people there because they are the master of "low-level" optimization. For instance, the author of Reformer is a lead in the Long Context section, because apparently he knows how to reduce the O(N^2) of self attention to O(Nlog(N)), to say the least.
Re: TextSynth Server
#98Re: TextSynth Server
#99Re: TextSynth Server
#100Earlier quoted context omitted.
The comparison table from the ts_server site looks awesome though. I wish we could generate one for llama.cpp, unfortunately too busy with other things at the moment.
Hey liuliu, would love if you join the project when you find the time - your work is really inspiring!