this post was submitted on 14 Feb 2024
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Ok. Mozilla was spreading itself too thin, spending resources trying to compete with multiple products against established brands that were already way ahead of them. They needed to focus down onto their core product rather than frivolously cast about.
And AI is the technology of the future, despite all the whinging and griping by commenters on the subject. It's being incorporated into the other major browsers, it's a must-have if Firefox is to remain relevant. I'm sure you'll be able to turn it off in the settings if you don't want it and if you're really concerned about getting AI cooties there'll be niche forks that are compiled without it.
You have no idea, any more than the rest of us. Like, please tell me you understand "____ is the technology of the future" has been said more times than it's ever been true.
The idea of AI is a technology of the future, but what we have growing now is not AI, not really, and this iteration can be just as big a flop as any other technology of the moment.
LLMs are what everyone dunks on, and “image generators are coming for our jobs! Think of artists! It’s not real art if a cheating machine does it!” is also a common cry.
But do any of those people even know about the new class of antibiotics a neural network trained to find patterns in protein folding discovered? Do any of them know about the accuracy of diagnosis that IBM Watson was able to make in cases of rare cancers, even when doctors didn’t see it? What about changes in weather prediction accuracy? Novel suggestions in materials science?
We are mimicking neural patterns, similar to the way our own minds work, to achieve pattern recognition and even extrapolate from them. And yeah, right now we’re brute forcing it, and we’re not even entirely sure how these relationships develop. It’s in its infancy, and growing fast.
This is technology considered the holy grail of computing. We have been chasing this concept since the 1940s. There are a million sci-fi stories about it and there are a million more attempts to make it work before one really stuck.
And now we’re at the beginning of it being practical and you think we’re just gonna go “eh it’s a wet fart like the Virtual Boy. Oh well, let’s make some new phones or something”?
No. This is literally the technology of the future. Within your lifetime (assuming you live a reasonable while longer) there will come a point when you won’t be able to buy a CPU without some type of neural engine in it.
And yes, people will (and already are) do horrific shit with it. It will fuck over a large portion of the white collar economy; a portion of which were told to go into the careers they did because they’d be safe from automation. “Get a degree and you’ll be safe!” they told us! Now they tell us “you better work at two different targets to make that payment, should have studied a trade!”
So the reason for skepticism and animosity is almost certainly the fear of being replaced; but look at how far these AI models have come in the last month alone. We’re already in “this is changing the future” territory and those things are just getting started.
Dude. Take a chill in the bathtub and touch grass. AI is never taking my job, since it's physical labor since I removed myself from the computer industry 15 years ago. But as someone who studied AI and LISP (which was mired in the previous AI craze), it's not actually wrong to have animosity and be skeptical about the current AI. we're literally using the same techniques than we did 30 years ago. We've invented nothing new since the last AI fad. What is driving this craze is the brute force approach of massive parallel processing, not actual innovation.
There's been some minor refinement, so it's not exactly identical, but to use a metaphor... We've using more Lego bricks and different colours now to build our castles, but they're all still lego bricks. Nothing has fundamentally changed.
... and you should know by now that tech industry is funded by hype machine, so temper your expectations. Current machine learning techniques are limited and inefficient, it's not actually really a solvable problem with the current approach.
TLDR; LLMs are a super far cry from actually being "intelligent" and calling it AI is the equivalent of calling a wheeled electric self balance board a "Hoverboard".