1,152 karma · joined October 14, 2015
This doesn't matter to you as a buyer when the money you're spending is either borrowed, being printed out of thin air, or both.
Do a google search for "rent-fixing algorithms".
If you own enough homes in a rental market, you can determine the market rate. An empty house has value simply by depleting local housing stock, since it is giving you greater leverage to drive market rate up.
Of course its less value than actually having it rented, but its still value. Tax code will also allow for softening the loss.
If you are working for a company that employs at least 1000 full-time engineers, I think you should consider joining a team where every project involves AI in some way, if you aren't already on one. Whether its owning AI tooling, or developing client features that use AI directly, or even just prototyping AI concepts that never launch. The safest roles like research and directly working on the models are out of reach for most people due to competition and position scarcity, but that's ok. There are so many positions downstream from those. The key thing to look for is to be in a position where your AI features can actually turn a profit, which might be rare, but not as difficult to get as an upstream role. But its still fine to be in a role that isn't profitable.
I think AI-adjacent roles will either be the first or last fulltime SWE jobs to go during the next tech downturn, which I don't think we are in yet. I am betting on the latter, because I think corporations will continue to reroute more and more funding towards AI all the way down. Even if the current AI cycle ends up as a failure, we are already in the sunk cost stages of commitment. There is no turning back without anything short of a total collapse.
I think DCA is the most effective investment strategy. Unfortunately I don't have the discipline to keep it up during a downturn. Next time I try it again with picked stocks will be my 4th time, but for now, I'm doing it with index funds. I'm not going to feel as inclined to pause my purchases during an index fund downturn.
I spoiled as much as I could short of playing the game, and then skipped through a full play-through on Youtube.
https://www.youtube.com/watch?v=DvPyoPRgrFQ is a good synopsis (full game spoilers). The main writer did an AMA on Reddit with some questions answered, but also made it clear that some things were simply unfinished, or just left up to interpretation.
What you're replying to doesn't specify commercial.
If you know any executives, you know they own multiple homes. You can connect the dots here between a rise in real-estate prices in tech hubs and RTO directives.
Plus this isn't even about individual executive investments. It is about corporate investments, and duty to shareholders.
No it isn't, it's a repeat of the previous American amphetamine epidemic, which has somehow been successfully memory-holed despite lasting multiple decades.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2377281/
https://www.smithsonianmag.com/history/speedy-history-americ...
I'm looking at the bar chart with median annual earnings and a earnings gap percentage. The first gap is 7% (misleadingly labeled as 93%...), which does seem somewhat high.
But then it's for $33,598 vs $31,288. A difference of $2310, an amount that your average Bay Area FAANG SWE earns in two workdays or less (when counting amortized RSU vesting and bonuses).
You could argue that every single dollar matters for someone in that bracket. But what about when the 7% difference hits someone who is making over $500k a year in the Bay Area? Then it's a $40,000 swing. Most of that will get eaten up by taxes anyways.
Which one is worse? I would say the $2310 difference, since the $40,000 is really closer to $20,000 after taxes, and having $220,000 a year after taxes vs. $200,000 doesn't make a huge difference when you're competing for homes that cost $2 million dollars or more.
It would sound way worse with the title "x outearn y by $40,000 a year in the Bay Area", but only to people who don't realize how bonkers the financial scales are here in comparison to developing parts of the country.
You don't have to stop them completely, they should just be deprioritized while there's a housing shortage.
Things changed very fast after 1994, though. I think by 1998, everyone I knew had a desktop at home, even if they didn't play videogames.
I have a huge gap in knowledge for so many things that I interact with on a regular basis, but that I don't actually need to understand well in order to meet minimum job expectations.
This seems like a good book to address network basics. Sadly, I'm a huge procrastinator, but this seems especially important for me to address.
Books that have been in my backlog for years: Database Design for Mere Mortals, Designing Data-Intensive Applications, Building Secure and Reliable Systems, Writing a Compiler in Go, Crafting Interpreters.
All books that I know I need to read, but I just can't get around to it because there's no immediate reward for me, as someone who doesn't have to worry about any of these days in my day-to-day duties.
It's like being a tech worker who earns $400k a year and saying "I don't earn that much, there's people who do what I do clearing seven figures a year, and others who were able to retire in their early 30s and don't even have to work anymore because they became so wealthy from work." Sure, it's not a lot of money compared to those people, but it is when compared to the vast majority of wage earners in any region in the world.