#openvoiceos — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #openvoiceos, aggregated by home.social.
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Some time ago, an artist on Fedi:
I wanted robots to do the dishes and the chores for me, so I can do art. Not they doing the art and chores left for me...
I am a software developer, game developer, a writer and a translator(for FOSS and Wikipedia). And I know most of the time, LLMs create slop for a considerable amount of work. I'm not against AI nor I am against LLM. I am trying to imply that these tools are best for assisting the human. Not replacing them.
Perhaps in future, we'll have more intelligent Artificial Intelligence tools. But as I told everyone, I highly doubt a #Transformer alone will help us travel long.
I fully support automating boring tasks. We have such these in every field. But there is a line between a task which must be done by a human and a task which can be automated.
BTW, meanwhile in offtopic chatroom of #OpenVoiceOS, one of the folks shared these two very valuable insights:
https://nickbostrom.com/papers/vulnerable.pdf
As I already have written a post on me blog[1], I strongly oppose both the #AIHype and the #AIAntiHype. I see many #FOSS projects put a blanket ban on any use of LLMs. I don't think this is good. Many projects let LLMs flourish all around their codebase. And I'm very afraid of the long term consequences it *might* have. I mean maybe, there won't be any consequences. But do you want to risk on that and after like 3 years realize how the project is ruined? I am not talking about vibe coding. I am talking about professional programmers overwhelmingly trust LLMs.
Imagine there is a muddy water and you cannot see what's in there. Will you take your chances to swim in? Or you wait till the mud goes down and the water becomes clear?
[0] https://far.chickenkiller.com/computing/llms-the-hype-the-antihype-and-the-reality/
#AI #LLM #LargeLanguageModels #programming #robots #robot #vibecoding
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Some time ago, an artist on Fedi:
I wanted robots to do the dishes and the chores for me, so I can do art. Not they doing the art and chores left for me...
I am a software developer, game developer, a writer and a translator(for FOSS and Wikipedia). And I know most of the time, LLMs create slop for a considerable amount of work. I'm not against AI nor I am against LLM. I am trying to imply that these tools are best for assisting the human. Not replacing them.
Perhaps in future, we'll have more intelligent Artificial Intelligence tools. But as I told everyone, I highly doubt a #Transformer alone will help us travel long.
I fully support automating boring tasks. We have such these in every field. But there is a line between a task which must be done by a human and a task which can be automated.
BTW, meanwhile in offtopic chatroom of #OpenVoiceOS, one of the folks shared these two very valuable insights:
https://nickbostrom.com/papers/vulnerable.pdf
As I already have written a post on me blog[1], I strongly oppose both the #AIHype and the #AIAntiHype. I see many #FOSS projects put a blanket ban on any use of LLMs. I don't think this is good. Many projects let LLMs flourish all around their codebase. And I'm very afraid of the long term consequences it *might* have. I mean maybe, there won't be any consequences. But do you want to risk on that and after like 3 years realize how the project is ruined? I am not talking about vibe coding. I am talking about professional programmers overwhelmingly trust LLMs.
Imagine there is a muddy water and you cannot see what's in there. Will you take your chances to swim in? Or you wait till the mud goes down and the water becomes clear?
[0] https://far.chickenkiller.com/computing/llms-the-hype-the-antihype-and-the-reality/
#AI #LLM #LargeLanguageModels #programming #robots #robot #vibecoding