4 ms·

It's weird to me that some people just don't see the oncoming train. AI is here to stay. Use cases are still being worked out, but it's here to stay. Reminds

It's weird to me that some people just don't see the oncoming train. AI is here to stay. Use cases are still being worked out, but it's here to stay. Reminds me of the Astound application around 1995-1996. It was a pretty major PowerPoint competitor and I used it a lot. For whatever reason, they only had a Windows 3.1 version. So I called them asking when the Windows 95 version was coming out. They told me they didn't think Windows 95 will be anything more than a fad and therefore they are sticking with what they have. I remember us laughing in the office about how an entire company could be so clueless.

atwebb 3y ago
Even with the graphic in the article, it has tablets in around 2010, there were definitely tablets well before that. They took a while to grow and take off, seems similar here.
skepticATX 3y ago
AI has been pervasive for decades. That being true doesn’t mean that the specific flavor of the month will necessarily stick around.
voxl 3y ago
Funny, because AI has seen plenty of applications before ChatGPT, yet "the oncoming train" in most peoples heads is "this is going to completely replace artists, programmers, etc" This is what is laughable, and has been from the very beginning. Will we _continue_ to use AI to try and find novel drug treatments? Yes. Will chatbots still be the first thing a customer support flow uses (and will it still suck)? Yes.
- secos 3y ago
  Well said.
- SkyPuncher 3y ago
  I strongly disagree. LLMs made AI accessible to the masses in a way that previous tools couldn’t. Instead of having to collect a bunch of data, clean it, and train on it, you can simply write plain, human prompts. That’s extremely powerful.
  - bathtub365 3y ago
    And get incorrect information. “Simply fix it being wrong” is a bottomless problem.
    - SkyPuncher 3y ago
      Humans are wrong all the time; especially on complex problems. There's an amazing amount of things LLMs can do if a human is still in the loop. It's like having an assistant or a junior on your team. They can do the heavy lifting, but you still want to check the summary of their work.
EricE 3y ago
AI has been "the next big thing" since the 30's. The problem with AI is they still haven't found out how to actually deliver on that second word - intelligence. Until then, it's nothing more than an interesting toy.
_boffin_ 3y ago
I gave a presentation to our CTO this morning on utilizing LLMs to do a myriad of enterprise DX tasks. The amount of excitement that came out of that meeting was thick enough to cut through. This ain't going no where and will only be integrated into everything we have around us. Heck, soon, i'll start building my own dumb version of Jarvis i can talk to at home, which i'm truly excited for.

atwebb 3y ago

Even with the graphic in the article, it has tablets in around 2010, there were definitely tablets well before that. They took a while to grow and take off, seems similar here.

skepticATX 3y ago

AI has been pervasive for decades. That being true doesn’t mean that the specific flavor of the month will necessarily stick around.

voxl 3y ago

Funny, because AI has seen plenty of applications before ChatGPT, yet "the oncoming train" in most peoples heads is "this is going to completely replace artists, programmers, etc" This is what is laughable, and has been from the very beginning. Will we _continue_ to use AI to try and find novel drug treatments? Yes. Will chatbots still be the first thing a customer support flow uses (and will it still suck)? Yes.

secos 3y ago
Well said.
SkyPuncher 3y ago
I strongly disagree. LLMs made AI accessible to the masses in a way that previous tools couldn’t. Instead of having to collect a bunch of data, clean it, and train on it, you can simply write plain, human prompts. That’s extremely powerful.
- bathtub365 3y ago
  And get incorrect information. “Simply fix it being wrong” is a bottomless problem.
  - SkyPuncher 3y ago
    Humans are wrong all the time; especially on complex problems. There's an amazing amount of things LLMs can do if a human is still in the loop. It's like having an assistant or a junior on your team. They can do the heavy lifting, but you still want to check the summary of their work.

EricE 3y ago

AI has been "the next big thing" since the 30's. The problem with AI is they still haven't found out how to actually deliver on that second word - intelligence. Until then, it's nothing more than an interesting toy.

_boffin_ 3y ago

I gave a presentation to our CTO this morning on utilizing LLMs to do a myriad of enterprise DX tasks. The amount of excitement that came out of that meeting was thick enough to cut through. This ain't going no where and will only be integrated into everything we have around us. Heck, soon, i'll start building my own dumb version of Jarvis i can talk to at home, which i'm truly excited for.