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Cake day: August 4th, 2023

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  • You have to search using language that papers might actually use though. “Parachute effectiveness” means what the satirical paper is exploring, whether it prevents death or not. The only serious studies that might have used that language would be old WW2 studies that threw people out of planes with different parachutes to see how many survived.

    If you want to know how to design an effective parachute, you should be looking at reference books like Parachute Recovery Systems instead.



  • No, the “non-fungibility” simply means that anyone who creates an NFT with the same link will be distinct from your link to the image, even if the actual URL is the same. Both NFTs can also be traced back to when they were created/minted because they’re on a blockchain, a property called provenance. If the authentic tokens came from a well known minting, you can establish that your token is “authentic” and the copy token is a recreation, even if the actual link (or other content) is completely identical.

    Nothing about having the “authentic” token would give you actual legal rights though.


  • Billion dollar costs aren’t rounding errors even at YouTube/Google’s scale. They’re a measurable percentage of total revenue. I agree that it slightly improves the user experience, it’s hard to imagine a worse cost/benefit tradeoff from an engineering perspective even at more realistic costs. It’s especially hard to justify when there’s an easy alternative for users in the form of downloading videos.




  • No. Nvidia will be licensing the designs to mediatek, who will build out the ASIC/silicon in their scaler boards. That solves a few different issues. For one, no FPGAs involved = big cost savings. For another, mediatek can do much higher volume than Nvidia, which brings costs down. The licensing fee is also going to be significantly lower than the combined BOM cost + licensing fee they currently charge. I assume Nvidia will continue charging for certification, but that may lead to a situation where many displays are gsync compatible and simply don’t advertise it on the box except on high end SKUs.










  • You can sometimes deal with performance issues by caching, if you want to trade one hard problem for another (cache invalidation). There’s plenty of cases where that’s not a solution though. I recently had a 1ns time budget on a change. That kind of optimization is fun/impossible to do in Python and straightforward to accomplish Rust or C/C++ once you’ve set up your measurements.