Yeah, I personally prefer the bug-free old version:
On a more serious note, we’re still in a period where people are figuring out what AI can/cannot be used for and what the best practices are. Ironically, since it’s better at reverse engineering and bug hunting than developing when compared to a human, it is more useful for hacker and open-source projects than enterprise.
There are people getting paid for it. So I guess it actually is at least for now.
Why would you pay for them when you can just generate them yourself for cheaper?
Just dual boot?
Everything you described would be a small improvement, not a leap towards AGI that is needed. That is why it isn’t being researched further. Massive investment for minimal gain.
What does it mean to think? This is a open-ended philosophical question and has any number of answers.
I completely agree with your 2nd and 3rd paragraph.
There are similarities and there are clear differences. The reason why we say LLMs are different from us is because we DO have general intelligence, LLMs have not displayed such capabilities despite the intense pressure to prove so. THIS is why we say LLMs couldn’t possibly be like us. Because evidence shows they aren’t, despite the similarities.
I would be interested to hear what developments in the last month you’re referring to, would be exciting to see a breakthrough.
I believe the people in frontier labs are doing their best to push in that direction.
I believe the investors believe they will have AGIs in a few years.
I believe the human species has throughout history repeatedly proven the height of its hubris and the depth of its stupidity.
Disagree.
It is true there were massive strides in the last 8 years. But fundamentally, the tech is still the same large language model it was before, just bigger and better optimized.
It’s like going from an ancient, slow, Ford Model T that topped out at 45mph to a Bugatti that can do 260mph in 8 short years. It’s impressive, it boosts productivity, it is a marvel of modern technology, but that’s not my point of contention.
The issue is that AI companies have been funded on the promise that with enough advancements and upgrades this tech will achieve AGI. Which is an absurd statement to anyone in the field actually developing these things. That is the equivalent of promising that this 260mph Bugatti, with a few years of upgrades and advancements, will become a Harrier Jump Jet!
It’s just not happening, a fundamental shift in model architecture or technology used is needed. And from what we’ve seen so far, no one has discovered any.
Linus Torvalds = Linux
Linus Sebastian ≠ Linux
Good for entertainment. Never take anything they say seriously.
Regular, controlled burnings should be done to prevent these massive wildfires.
Especially now that the climate has made them worse.
By that logic wouldn’t you be firing the vibe coder for not rolling back the commit?
Oh no! us-east-1 is down again!?
Same as always - by coding.
If more people were contributing there wouldn’t be a need for AI.
They’re free to set it up themselves.
Yup. Use the AI to create and refine an implementation spec .md, tell it to implement, review and fix the parts it fucked up, ship it.
As with any change, it will always include some gains and some losses. Until you are at peace with these you won’t be able to make the change.
My first suggestion would be to find alternatives to these windows-only softwares and learn to use them while you’re still on windows. Play the shit out of the windows-exclusive games you play until you get bored of them.
The choice of linux distro doesn’t matter as long as you go with one of the big ones (Debian, Fedora, Arch linux). You will run into issues anyways, might as well go with a distro you will easily find google results for.
Wrong, old printers are the only ones that were built to last and are easier to maintain.
I mostly design and architect the systems, don’t write the code myself anymore.
I believe the important part is to keep working your critical thinking, don’t just blindly accept the output. Understand, scrutinize, consider, criticize.
Writing bad syntax and not remembering func signatures are obvious problems that will auto-resolve as you personally re-familiarize yourself with the tech you’re working with.