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Often I see youtube videos that sells an overwhelmingly negative take on AI, like "OpenAI" fails 93% of Jobs or "AI is destroying the world" and other weirdly o

Often I see youtube videos that sells an overwhelmingly negative take on AI, like "OpenAI" fails 93% of Jobs or "AI is destroying the world" and other weirdly outlandish titles that is clearly aimed at clickbait. Watching these content I often get confused because it never seems to highlight the actual real world progress and use that LLMs in particular gets for coding. Much of what was "vibe coding" is becoming just coding now. This means for open source, we are no longer relying on companies that create "opencore" products that nerf/neglect the public version so they can sell their cloud product. We don't have to worry about a maintainer going AWOL on some Clojure or Elixir library and fret about hiring someone who has "20 years of experience". We don't need to pay for a lot of expensive enterprise SaaS tools that charge six digits when we can simply use LLM to internalize existing packages and even create our own. Those that have been using coding agents for the past 6 month know how much progress there have been and the sheer pace of it to know that we are about to turn the corner, especially as new forms of computing are in the pipelines that will scale even faster without incurring more energy, moving away from text token gen to something else that humans can't read etc. While it's important to watch different takes, I think someone who consumes only Youtube and these videos that the algorithm is designed to push is going to be shocked and left behind because by the time these videos are produced, things have already progressed or in state of change. All in all, these videos should be treated like ephemeral commentary that ultimately loses their relevance due to the sheer speed of how things are changing.

jayrot 8mo ago
You make some fair points here, but I'm unclear as to whether you're claiming Geerling's video is an example of an "overwhelmingly negative take on AI". If so, my suspicion is that you didn't watch it.
- agentifysh 8mo ago
  he raises some good stats and examples of "slop" and dooming around code gen hitting a ceiling coupled with humans being bottlenecked all very true statements but overall lacking in showing that actually lot of people are using AI coding gen in open source with good success. btw am I talking to a bot? all of your comment history is pretty similar with lot of emdash.
rjakrn 8mo ago
"Agentify is a small collection of utilities and MCP servers focused on safety, ergonomics, and automation." Cool advertisement bro. This is how it must have been when they marketed cigarettes to women to drive up sales.
- a_better_world 8mo ago
  "freedom torches" was the exact phrase used. They were sold as a marker of female liberation. https://en.wikipedia.org/wiki/Torches_of_Freedom https://en.wikipedia.org/wiki/Torches_of_Freedom The term was first used by psychoanalyst A. A. Brill when describing the natural desire for women to smoke and was used by Edward Bernays to encourage women to smoke in public despite social taboos. Bernays hired women to march while smoking their "torches of freedom" in the Easter Sunday Parade of 31 March 1929,[1] which was a significant moment for fighting social barriers for women smokers. Bernays is widely seen as the father of modern marketing, and helped lay the foundation for the consumer-based economy.
- agentifysh 8mo ago
  what part of https://agentify.sh https://agentify.sh offends you so much, can you please point it out ?
nomel 8mo ago
> like "OpenAI" fails 93% of Jobs I'm always confused how this isn't ridiculously impressive, "After only 5 years, AI can succeeds at 7% of jobs."
- lm28469 8mo ago
  Because you're hiding the vast majority of facts, like the fact that we already used every last drop of data available, the fact that they spent hundreds of billions on it and no one makes money besides the people selling them GPUs and memory chips, the fact that contrary to most tech these hings aren't getting cheaper to create, &c.
  - nomel 8mo ago
    I suggest looking at some of the recent AI research, as it's not as dead of a field as you imply. Everyone understands that there's no more text and video/image data from the web. There's massive amounts of data outside of this, especially around the context of replacing jobs (think robots). With the last couple years, I don't see any reason to believe today's LLM architectures or training methods are the last to be developed. I think it's really crazy to imply that progress is somehow over. I'm not sure how money spent is relevant. How many humans are left jobless in the next 20 years should be the concern. If it's 7% in only 5 years, with the very safe assumption that there will be progress, it's still not looking good.
    - lm28469 8mo ago
      All I'm saying is the hype around these things is always 10x what the reality ends up being, every single time. Autonomous cars, bitcoin, VR, metaverse, it's always the same story, a loooooot of hype, a bit of actual delivery, and move on to the next sca...project Where does the 7% number come from actually? no one knows... where are the hundred millions of unemployed people? no one knows, where is the productivity increase? no one knows. It moves fast and their shoveling a lot of shit down our throats, that I agree with, I'm just not seeing any of the magic or "AGI in two weeks my dudes" type of things.
lm28469 8mo ago
What kind of open source projects have you been working on? Why do you think most serious open source project reject AI PRs? Do you think you will spin up your own VLC, linux kernel or tensorflow in an afternoon and that you won't need "maintainers"? What about security? Accountability? Group work?
saila 8mo ago
The point of the video is to highlight how the inundation of AI-generated pull requests is harming open source. It doesn't say anything about AI success/failure rates, and it wouldn't make sense for it to go into details about that. However, it does mention that LLMs are useful for some things.

jayrot 8mo ago

You make some fair points here, but I'm unclear as to whether you're claiming Geerling's video is an example of an "overwhelmingly negative take on AI". If so, my suspicion is that you didn't watch it.

agentifysh 8mo ago
he raises some good stats and examples of "slop" and dooming around code gen hitting a ceiling coupled with humans being bottlenecked all very true statements but overall lacking in showing that actually lot of people are using AI coding gen in open source with good success. btw am I talking to a bot? all of your comment history is pretty similar with lot of emdash.

rjakrn 8mo ago

"Agentify is a small collection of utilities and MCP servers focused on safety, ergonomics, and automation." Cool advertisement bro. This is how it must have been when they marketed cigarettes to women to drive up sales.

a_better_world 8mo ago
"freedom torches" was the exact phrase used. They were sold as a marker of female liberation. https://en.wikipedia.org/wiki/Torches_of_Freedom https://en.wikipedia.org/wiki/Torches_of_Freedom The term was first used by psychoanalyst A. A. Brill when describing the natural desire for women to smoke and was used by Edward Bernays to encourage women to smoke in public despite social taboos. Bernays hired women to march while smoking their "torches of freedom" in the Easter Sunday Parade of 31 March 1929,[1] which was a significant moment for fighting social barriers for women smokers. Bernays is widely seen as the father of modern marketing, and helped lay the foundation for the consumer-based economy.
agentifysh 8mo ago
what part of https://agentify.sh https://agentify.sh offends you so much, can you please point it out ?

nomel 8mo ago

> like "OpenAI" fails 93% of Jobs I'm always confused how this isn't ridiculously impressive, "After only 5 years, AI can succeeds at 7% of jobs."

lm28469 8mo ago
Because you're hiding the vast majority of facts, like the fact that we already used every last drop of data available, the fact that they spent hundreds of billions on it and no one makes money besides the people selling them GPUs and memory chips, the fact that contrary to most tech these hings aren't getting cheaper to create, &c.
- nomel 8mo ago
  I suggest looking at some of the recent AI research, as it's not as dead of a field as you imply. Everyone understands that there's no more text and video/image data from the web. There's massive amounts of data outside of this, especially around the context of replacing jobs (think robots). With the last couple years, I don't see any reason to believe today's LLM architectures or training methods are the last to be developed. I think it's really crazy to imply that progress is somehow over. I'm not sure how money spent is relevant. How many humans are left jobless in the next 20 years should be the concern. If it's 7% in only 5 years, with the very safe assumption that there will be progress, it's still not looking good.
  - lm28469 8mo ago
    All I'm saying is the hype around these things is always 10x what the reality ends up being, every single time. Autonomous cars, bitcoin, VR, metaverse, it's always the same story, a loooooot of hype, a bit of actual delivery, and move on to the next sca...project Where does the 7% number come from actually? no one knows... where are the hundred millions of unemployed people? no one knows, where is the productivity increase? no one knows. It moves fast and their shoveling a lot of shit down our throats, that I agree with, I'm just not seeing any of the magic or "AGI in two weeks my dudes" type of things.

lm28469 8mo ago

What kind of open source projects have you been working on? Why do you think most serious open source project reject AI PRs? Do you think you will spin up your own VLC, linux kernel or tensorflow in an afternoon and that you won't need "maintainers"? What about security? Accountability? Group work?

saila 8mo ago

The point of the video is to highlight how the inundation of AI-generated pull requests is harming open source. It doesn't say anything about AI success/failure rates, and it wouldn't make sense for it to go into details about that. However, it does mention that LLMs are useful for some things.