This rings true. However I have used one AI automated support chat that didn't behave that way. I wish I could remember the vendor but I do remember being blown away when it said something like "that sounds like a real problem would you like me to open a support ticket for this?". Which it then did and subsequently a human addressed my issue.
Same. Never hit a limit. Use it heavily for real work. Never even thought of firing off an LLM for hours of...something. Seems like a recipe for wasting my time figuring out what it did and why.
It wasn't deliberate in the sense of deliberately making a second chip that wasn't necessary, selling it as some kind of dongle to unlock existing functionality in the 8086. It was a real chip that cost as much or more than the 8086 to manufacture. The sauce that was difficult to attain otherwise was hardware implemented FP. You could either buy an 8087 or design and fab your own equivalent. Or accept slow FP.
It's going to turn out that emergent states that are the same or similar in different learning systems fed roughly the same training data will be very common. Also predict it will explain much of what people today call "instinct" in animals (and the related behaviors in humans).
Evolution is an optimization process. So if platonic representation hypothesis holds well enough, there might be some convergence between ML neural networks and evolved circuits and biases in biological neural networks.
I'm partial to the "evolved low k-complexity priors are nature's own pre-training" hypothesis of where the sample efficiency in biological brains comes from.
Also doesn't help that nobody can say how many people it needed to develop and maintain software even before AI. Elon declared the emperor had no clothes.
He really didn’t tho. X was constantly breaking and falling apart in his hands, so he repackaged it in xAI where he got a bunch of money to hire a bunch of engineers to develop features and keep it running. It’s still not profitable. But people have no critical thinking skills so they haven’t noticed this
I'd argue Twitter not breaking down after layoffs is good for the industry. It means you can roughly see investment in software as capex - once it's built, it's built.
You still need engineers to innovate though, but industry has no idea what innovation still makes sense except, maybe, AI. That's why everyone is investing in it, there are just not many other places to invest.
Did he really? X is constantly more buggy than Twitter ever was.
Right now they have a bug where post appears duplicated as a reply to itself (you can tell it's a bug because liking one automatically likes the other).
Calling BS on that story. You don't need to fire anyone. You just rate limit access to lookups where the customer didn't initiate a support call themselves, and require supervisor approval and audit of said approvals on a regular basis. I've also worked on systems where accounts could be marked as sensitive (e.g. the celebrities) and those needed additional sign off to be accessed.
Fairly sure this is an ironic comment. (Credit monitoring is the useless thing companies give people in the US when their information is leaked -- everyone in the industry knows it's laughably unrelated to private information disclosure).
Random data point: as a long time VSCode user when I first heard the hoopla about Cursor I rushed to try it. Didn't work (at all). So I added my name to the open bug report, waited a few months. Tried again. Still didn't work. Became a Claude Code user and never looked back.
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