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LemmyTryThisOut

@LemmyTryThisOut@lemmy.world

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LemmyTryThisOut ,

15 fps..

LemmyTryThisOut ,

I'm not saying it isn't impressive. it is. but is it worth it?

LemmyTryThisOut ,

node_modules

LemmyTryThisOut ,

I don't know if the article talks about this or not (paywalled), but my guess would be due to public distrust. In case you weren't aware, 23andme was recently hacked, exposing 6.9 million users data [1] and a class action lawsuit followed [2].

My personal biggest issue has always been with their TOS regarding how they forever own and will retain the rights to the provided DNA sample and resulting data derived from your DNA. This data was not treated or regulated as sensive medical data under something like HIPAA, so who knows how well they safeguard it [3].

Their website claims they won't sell the data to 3rd parties or insurance companies without users consent, but we all have heard that before from Silicon Valley companies. This data could be sold or used in the future in ways I cannot fully conceive right now, and/or in ways I don't agree with. With the rise in popularity of things like GPT, who knows if they will use the data for training AI models. These problems aren't unique to 23andme, rather any of the tech DNA/ancestry companies.

[1] https://techcrunch.com/2023/12/04/23andme-confirms-hackers-stole-ancestry-data-on-6-9-million-users/

[2] https://topclassactions.com/lawsuit-settlements/privacy/data-breach/23andme-hit-with-another-class-action-lawsuit-over-data-breach/

[3] https://healthitsecurity.com/features/what-the-23andme-data-breach-reveals-about-credential-stuffing

LemmyTryThisOut ,

When you hear this from any company, get out. Sell whatever you have in it immediately. Even if you take a loss, you'll take a bigger one waiting it out.

LemmyTryThisOut ,

It is

LemmyTryThisOut ,

Yeah, I mean or you could just stop buying Apple products.

LemmyTryThisOut ,

Apple MacBooks and iMacs don't have this side-loading issue like their mobile devices do. You can install anything you want to as long as it's supported on a Mac, and from anywhere you want. So they are more or less a more premium Linux variant. I'm not sure why you came in here thinking this discussion applied to non mobile devices.

LemmyTryThisOut ,

TLDR;

  1. Deep learning for protein design
  2. Deepfake detection
  3. Large-fragment DNA insertion
  4. Brain-computer interfaces
  5. Super-duper resolution (microscopic imaging)
  6. Cell atlases
  7. Nano materials printed in 3D
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