Whenever I feel overwhelmed with pro AI stuff, I go to https://clocks.brianmoore.com/ and feel a little better
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It's like they prefer to build models that use more resources, cost more money to develop, and work worse than simple solutions we've been using since the dawn of personal computing. The value in machine learning is doing things we couldn't do before, or doing things more efficiently. Unfortunately, the nobility in our society are too out of touch to pull that off.
this is why i like "only small on-device models" as a general rule of thumb.
if you can train it yourself then it's probably a perfectly reasonable use case for machine learning
Unfortunately, the nobility in our society are too
out of touchgreedy and self-centered to pull that off.
If they were just greedy and self centered, they'd be able to use it to actually benefit them. Instead they're burning money they stole from us as a sacrifice to a machine god who they believe can accomplish economic impossibilities. They're living in fantasy land because they have more wealth than sense.
In the webcomic Everything Is Fine, clocks don't have our conventional time, but someone has an alarm to wake up at 2:60.
This is why I wear a Pebble
Open source firmware doesn't incorporate user hostile changes nearly as often
Sidebar it's kinda crazy how the expectations of AI grew both by users and most definitely product / service providers. You remember that first Will Smith spaghetti video? That was just 3 years ago. A lot has changed but also depending on the model someone is using nothing has. Even frontier models are not yet strong AI aka they seriously need human supervision to check what's coming out. We're in this awkward stage where they really do work half of the time but also don't the other half. The applications are far exceeding their consistent capabilities. In short the deployment and messaging about capabilities needs to be scaled back drastically.
The problem is they have to over-hype it because they aren't making their money back.
Even frontier models are not yet strong AI aka they seriously need human supervision to check what’s coming out.
What do you consider "strong AI"?
Strong AI has the same capabilities as a human mind at minimum.
That's actual AI (what people are now calling AGI), and LLMs aren't capable of that. They'd have to develop a new technology.
Even frontier models are not yet strong AI
I believe that would require a whole new paradigm of how AI works, the sort of shift that won't be achieved by mere refinement of the current models. So I'm not expecting surprises on that front right now. On the contrary, what has surprised me the last time I tried to use ChatGPT is that it produced ungrammatical sentences with incomplete words. That's a sort of "chickenpox" issue that should've been fixed long ago by now...
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