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Joined 1 year ago
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Cake day: July 15th, 2023

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  • I agree with this. Could easily save $200 buying some older and lower spec components. CPU choice is probably because of the iGPU, but there are other cheaper CPUs with iGPU. I don’t think the use case is going to require more computing power in the future, so I don’t know if future proofing is really necessary. If the use case changes some few years from now, you need to buy new components regardless of your choices today. Save some money now and put it towards a future upgrade.

    16GB DDR4 is enough. That’s about $40 off. SSD is pointlessly big for the use case. 250GB might be enough, but even 512GB would be a bit cheaper.

    CPU could be downgraded to something a couple generations older. Motherboard can also be downgraded, unless that one has some important features. That saves at least $150 total.

    PSU is a complicated question. Cheaper would be enough, but you might lose money over time in your electricity bill. That’s kind of difficult to calculate.








  • Human eyes have three kinds of cells (photoreceptors) for color detection. They each react to either red, green or blue light. If more than one of those cells are activated, your brain interprets the light based on what cells activated, and how strongly they activated. If red and green cells activates, the light is seen as yellow. The light is seen as white if all of them activates fully.

    This also means that light bulbs can produce white light by simply producing three wavelengths (colors) of light. The problem with that kind of “fake” white is that colors will look wrong under such light due to the way how objects reflects light. This is very common with low quality LED lights, and even the best smart lights aren’t very good at it. When buying LED lights, you might want to look at the CRI (Color Rendering Index) value and make sure it’s above 90, or as high as possible.




  • From the article:

    The data breach started with hackers accessing only around 14,000 user accounts. The hackers broke into this first set of victims by brute-forcing accounts with passwords that were known to be associated with the targeted customers, a technique known as credential stuffing.

    From these 14,000 initial victims, however, the hackers were able to then access the personal data of the other 6.9 million million victims because they had opted-in to 23andMe’s DNA Relatives feature. This optional feature allows customers to automatically share some of their data with people who are considered their relatives on the platform.