If such a company succeeds and still retail investors, don’t get paid back, I would consider that fraudulent, but that’s not the case with SPAC’s. I would like to see SPAC deals be better to investors as opposed to banning them entirely.

The overall idea of SPAC’s is not bad, even if Chamath only created them to exit his sh*t investments. There are very few other ways for retail investors to invest in potential 100-1000X companies (which are generally pre-revenue). Of course the flip side, is that most SPAC’s might close down and cause you to lose money. That is the decision for the investor to make, risky opportunities are fine! Sadly chamaths shitty tactics to close out his investments have tainted a completely fine idea.

Now I wonder if AirPods Max 2 is even better than AirPods Pro 3 but we are soon reaching the point of diminishing returns. So to all kindred souls who hate noise, Pro 3 is probably good enough for your use cases!

That said, it’s very likely none of that happens and AI + Human execution just means more easy SAAS business and no SAAS business can have code as a moat since AI can replicate that quite easily. The second scenario seems more likely

I guess we don’t let people have hard drugs even if sometimes they just need to escape their painful life. And maybe this could fall under that logic. But we do let people drink themselves, which serves the same purpose. And if I had to choose, I think doomscrolling is more at the level of Drinking, and less at the level of Heroin. So I would actually be fine with an age limit for doomscrolling after which, you have a hands off approach.

If the sole purpose of college is to rank students, and funnel them to high prestige jobs that have no use for what they actually learn in college then what the students are doing is rational.

If however the student is actually there to learn, he knows that using ChatGPT accomplishes nothing. In fact all this proves is that most students in most colleges are not there to learn. Which begs the question why are they even going to college? Maybe this institution is outdated. Surely there is a cheaper and more time efficient way to ranking students for companies.

I think and I know HN commentators are going to hate this, but Thiel was right when he wrote that the current system only works with fast continuous growth. Ideally multiple growing sectors, contributing to the economy. Anything else, and everyone immediately starts fighting for scraps joining their tribal identity or whatnot. The only way out, would be more rapid growth in multiple sectors, not just AI, or a complete breakdown of the existing system which does not leave me hopeful for anything better. I in fact like the existing system quite a bit, but maybe that’s just me.

Especially cars, India has had insane tariffs on luxury cars and motorcycles that will disappear, which is interesting. On the face this seems like a good deal for India as India can probably export much more than EU can to India except for a few sectors like Automobiles and Chips, but who knows, I assume EU officials seem to think the gains in a few high tech sectors are enough to offset the cheap goods on all other sectors.

I write a piece of code, however small the change. Then run the proc, first it takes ~20 mins to compile. Then since it is ML, it can only run on a remote server. It takes an easy 20 more minutes to start running in the remote server. Then after another 40 minutes I can confirm the job failed. The only way to debug is to read through a massive log file, for which we have an in built log reader lol. The log file will have thousands of errors that literally don’t matter, and you’ll never have enough context to know which errors don’t matter. You can simply ping someone and ask, does this error matter, could this be the reason my entire proc failed, oh no this is just a useless log that fails all the time, I shouldn’t have been wasting a day digging into this, ok thanks bye.

But this isn’t it, not even close lol, we in fact have a custom DSL to define computational graphs, which of course does not have any linter, or even any compiler and a very broken visualizer but our entire org runs on this. Syntax errors, logic errors, actual race conditions are all caught the exact same way —- as the process dying after trying to run on a remote server for 2+ hours with no useful error log. So our workflow is to just get a cup of coffee and stare at the graph which can get thousands and thousands of lines big to find at times completely trivial bugs that any half decent language would have caught as a syntax error.

My exp in BigTechCo makes me completely understand GitHub actions, my guess is many big companies have equally janky tools that harm dev productivity but still somehow take absolutely massive workloads. GitHub just thought of sharing it to the public.