Money happened.
Wherever there's big money to be made, will also attract ambitious people hungry for money and power - it's that simple.
Now that FAANG jobs aren't looking all that attractive, many such people have set their sights on AI research/dev and quant finance jobs. The latter one has exploded in popularity / virality the past years. Previously a niche profession within finance which, frankly, most had no clue existed, has become almost a mainstream ambition. Some of the people that never identified themselves as nerds, will wander from industry to industry, which one that pays the most.
But back to the nerds: Some nerds obviously changed. If you throw generational wealth at most people, they will change. Few people are so disinterested in money that it is simply not a thing they care about.
What's more, many nerds discovered that with enormous amounts of money, comes enormous amounts of power. You can now actually lobby for your sci-fi dream world, which is what some of the billionaire nerds are doing.
The money and power corrupted them.
> What's more, many nerds discovered that with enormous amounts of money, comes enormous amounts of power. You can now actually lobby for your sci-fi dream world, which is what some of the billionaire nerds are doing.
> The money and power corrupted them.
Actually accomplishing things in the world that constitute building a sci-fi dream world requires significant amounts of money and power, and any person or institution at all that could in principle have the capacity to do this would also have the capacity to become corrupt, at least by someone's judgement.
Personally, I'm pretty happy with many of the sci-fi things that tech billionaire nerds have made their money by bringing into existence. I rode across town in a self-driving Tesla the other day while giving orders to its AI system about how and where to go. That was a pretty sci-fi dream world experience. That's worth quite a bit of corruption.
It would be fair to reflect for a moment, perhaps you are not impacted by the negative aspects of the corruption making this a much easier stance to take.
That will likely change after this goes into effect, otherwise all that legitimate spam will never make it.
I've been watching Seth for years, that comment is pretty in line with his writing style. I expect he's using AI, but I don't think he would be lazy with it. I would expect him to prefer not replying at all over using AI to reply.
It just meant building their business for them basically. Back then, mostly eCommerce businesses before the software and supply chains for that were commoditized.
Or smaller scale, if someone's a CTO at a startup, part of their worth is going to be assembling a team who can build stuff, so you become one of the valued contacts.
> We're on the downside of the tech bubble, and maybe that's a good thing.
I think it'll keep having waves, but I agree that a bit of cooling off could be a good thing.
The technologies are genuinely cool, interesting stuff, it's a super exciting time to be building stuff. But the business side of things seems quite vapid and desperate for many companies.
I wonder if more tangible industries like manufacturing have had similar peaks? Was there a time where the Wood Industry was going crazy, making everything out of wood, stuff that didn't need to exist?
It would be fair to reflect for a moment, perhaps you are not impacted by the negative aspects of the corruption making this a much easier stance to take.
To a much smaller extent due to where I live, I noticed this too. From merely the fact that I had a (local economy relative) high paying software job and that I could "make stuff happen" for people with capital or people in the "boys club", I was introduced to an entirely different layer of the city I had no idea about. I noticed how effortlessly the signals transfer and how it all feels very meritocratic, you don't even notice the layer and you just see the people. Until someone who's not in that layer shows up, and suddenly the doors close, the conversation chills and the barriers to the layer become evident.
I am very curious how this changes for young technologists in an AI era, where maybe non-technical people in this layer no longer see a self made technologist as a value add to their cohort.
I purposely use technologist over software developer, since I feelnthe generalist self-made developer typically commands an intuitive breadth of skills not just programming.
I also didn't make out like Zuck, though I am happily working and making games on the side.
The answer in general is we monitor things to understand them, so we know how they will affect us. Same thing we do for all the metrics that allow us to forecast the weather every week.
I have been noting this as well. It also had an unfair advantage of having all of open source code to train on, and a bunch of human discussions about code quality and structure. Now as well, the feedback loop of us all using coding agents in real life scenarios.
Not many industries except perhaps writing have had that advantage, in many ways coding is one of the best case scenarios for LLMs.