From what I can tell most in AI are currently hoping LLMs reach that point quick just because the hype is not helping AI at all.
You can call this hype, maybe it is all hype until LLMs can work on 10M LOC codebases, but recognize that LLMs are a shift that is totally incomparable to any previous AI advancement.
It will help a single human do more in a white collar world.
Sounds like AI robbed you of an opportunity to spend some time with your Dad, to me
It takes five minutes to program the thermostat, then you can have a beer on the patio if that's your speed and catch up for a bit
Life is little moments, not always the big commitments like taking a day to go fishing
That's the point of automating all of ourselves out of work, right? So we have more time to enjoy spending time with the people we love?
So isn't it kind of sad if we wind up automating those moments out of our lives instead?
I'd definitely like to improve my skills, but to be realistic, most of the programmers are not top-notch.
I hate Adobe, I don’t like to give them credit for anything. But their audio enhance tool is actual sorcery. Every competitor isn’t even close. You can take garbage zoom audio and make it sound like it was borderline recorded in a treated room/studio. I’ve been in production for almost 15 years and it would take me half a day or more of tweaking a voice track with multiple tools that cost me hundreds of dollars to get it 50% as good as what they accomplish in a minute with the click of a button.
It's not about specialized vs generalized models - it's about how models are trained. The chess engine that beat Kasparov is a specialized model (it only plays chess), yet it's the bitter lesson's example for the smarter way to do AI.
Chess engines are better at chess than LLMs. It's not close. Perhaps eventually a superintelligence will surpass the engines, but that's far from assured.
Specialized AI are hardly obsolete and may never be. This hypothetical superintelligence may even decide not to waste resources trying to surpass the chess AI and instead use it as a tool.
From Wikipedia, Garry Kasparov said it was a pleasure to watch AlphaZero play, especially since "its style was open and dynamic like his own".
People can't define AI because they don't want to consider AI as a subset of exponentially difficult algorithms, but they do want to consider AI as a generator of stylistic responses.