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Cake day: October 19th, 2024

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  • Haven’t read that book, but I’ve been very successful with the opposite approach. A favorable article about a company’s stock in popular mainstream media (not business publications) can push the stock up briefly over the next couple weeks based on false hopes of the clueless general public. Get in immediately, get out within a couple days if nothing happens, and within 2 weeks if it does. My other rule is only do this with options, not actual stocks. And yes, I too would call this gambling - but investing is never not gambling. It’s just more or less so depending on how you do it.




  • Jeeps - there’s an old movie about a small town infested with C.H.U.D.-like critters underground. As the plot crawls along, multiple characters keep saying bad things about their Jeeps, like “Could you drive? My Jeep is still in the shop.” By the end it’s pretty obvious somebody didn’t like Jeeps. Then during the credits the director drives up in a Jeep, gets out and says, “They say every story has a moral, and I guess the moral of this one is, Don’t Buy a Jeep.” Then he tries and tries to start it and finally gives up. I probably saw this back in the 80s on Showtime, and I’ve been searching for it ever since we got the Internet lol.






  • Early in my software dev career I had a contract job at a young company called Microsoft. Without going into boring details, what I saw in terms of miscommunication, wasteful practices, and odd behaviors by overstressed managers led me to see it as a typical startup that was outgrowing its ability to run itself. At that time they were handing out full-time employment like candy - most of the programmers in my hallway got converted - but I left, because I didn’t think the company would go anywhere. This was two or three years before the stock went nuts and programmers there became millionaires in their twenties.



  • It’s actually called Symbolic AI, which codifies clearly defined rules and behaviors - think decision trees and flowcharts. I doubt machine learning will be used in this case, since the rules and reasoning used by air traffic controllers have evolved over almost a century and are well understood. Machine learning is more for situations where the software has to discover the best way to operate because the rules aren’t well established.