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Cake day: 2025年8月10日

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  • We are in a bubble. Several bubbles, actually. One popping will likely trigger the others to pop. One of the reasons we are in a real estate bubble is due to housing being used as an investment by large corporations. There are many empty houses sitting around like a stock earning value for shareholders. We are also in an AI bubble. NVIDEA is NOT worth over a trillion dollars, but that’s what the shares are priced at due to the bubble. People make the most money in a bubble riding it to the peak.

    Let’s pretend the AI bubble pops. Something happens, investors get spooked and start selling AI stocks off en-mass. The stock market corrects, and we enter a recession. This is normal and good, and to be expected. However, as company’s stocks lose value, they divest themselves of assests to keep paying shareholders, and sell houses while they still have value. This causes the Real Estate bubble to pop. As prices go down more and more corporations try to quick sell before the houses value drops below what they were bought at. Boomers die, and their kids place old homes they can’t afford to maintain on the market causing it to further collapse. Prices plummet to rock bottom. People who own multiple homes may also sell off the extras due to mortgages being owed for several times what the property is now worth. This has happened before and will happen again.

    This takes years, but houses will become affordable again. Lots of people will watch the falling prices and try to time the bottom. They’ll rent for another year or two and see the market get flooded with houses for sale. Some will buy too early and the prices will keep dropping. Eventually though things will get cheap enough that people will, en-mass start buying again and the prices will stabalize.










  • I made my career out of automated testing with a focus on apis. I’m not aware of any easy tool to do what you want. The easiest way to quick whip up basic api tests that I’ve found is python/pytest with requests. You can parameterize lots of inputs, run tests in parallel, easily add new endpoints as you go, benchmark the apis for response times, etc. It’ll take a lot of work in the beginning, then save you a lot of work in the end.

    Now, AI will be able to make the process go faster. If you give it a sample input and output it can do 95% of a pytest in 10s. But beware that last 5%.


  • Are any of their apis a GET that returns lists? I create a lot of automated api tests. You might be able to GET a list of users (or whatever) then pick a random 10 user_ids and query another api, say user_addresses and pass in each id one at a time and verify a proper result. You don’t have to verify the data itself, just that the values you care about are not empty and they key exists.

    You can dynamically test a lot this way and if a key gets changed from ‘street’ to ‘street_address’ your failing tests should let you know.



  • Any cam with an rtsp stream is fine. Host frigate on your server point it to the cams you can get audio and video and object detection pretty easily. I also recommend taking an extra step and creating a firewall rule to block the cams’ inbound/outbound internet traffic.