ramjambamalam

joined 2 years ago
[–] ramjambamalam@lemmy.ca 4 points 2 years ago

I originally switched from Podcast Addict to Google Podcasts for seamless integration when listening to podcasts directly on Google Home devices. Hopefully this means better Google Home integration with popular third-party podcast apps, but it probably just means we'll be forced to use YouTube Music instead. :-/

[–] ramjambamalam@lemmy.ca 2 points 2 years ago

Okay, but NSA (or any state actor) aren't going to blow their load (tip their hand) by busting anything less than a massive terrorist cell.

[–] ramjambamalam@lemmy.ca 1 points 2 years ago (2 children)
[–] ramjambamalam@lemmy.ca -1 points 2 years ago

Sure, but that's not a comparable alternative to the convenience of a turnkey, cloud solution. There's a reason they're so popular.

[–] ramjambamalam@lemmy.ca 13 points 2 years ago (2 children)

A security camera with only local storage has a pretty obvious flaw that the incriminating footage can be more easily stolen and/or destroyed by the perpetrator.

[–] ramjambamalam@lemmy.ca 5 points 2 years ago

What about giving them a choice without mandating either?

[–] ramjambamalam@lemmy.ca 2 points 2 years ago

Yeah, it doesn't sound like "opt-in" as much as it actively prompts users. Opt-in would be it's accessible in the settings but not pushed in your face.

[–] ramjambamalam@lemmy.ca 1 points 2 years ago* (last edited 2 years ago)

Good question. Neural networks are modelled after how brains learn and process information, so it's certainly theoretically possible for a neural network (or other machine learning algorithm) to make inferences like that, just like how you've learned them with years of experience.

The biggest challenge in any machine learning is finding enough labelled training data. In fact, a friend of mine contributed to a paper in which (no joke) GTA V was used to generate labelled training data for an automous vehicle. Because it's a game engine, every object in the game is already digitized, and the 3D modelling is accurate enough to be useful, at least. This vehicle used LIDAR so the actual shaders and such didn't matter as much as the 3D point cloud.

[–] ramjambamalam@lemmy.ca 5 points 2 years ago

It's not exclusive. A twelve year old yelling slurs into their microphone is easily detectable using modern technology. Why not?

[–] ramjambamalam@lemmy.ca 14 points 2 years ago (4 children)

The 3D printed watches are prototypes. Here's what the shipped product looks like: https://twitter.com/BitBangingBytes/status/1695192177310150993

[–] ramjambamalam@lemmy.ca 9 points 2 years ago* (last edited 2 years ago) (1 children)

Please hear me out – wouldn't requiring females who identify as men and look like men, to use women's washrooms, be virtually indistinguishable from a cis man using women's washrooms? It seems like this law might actually result in more manly-looking folks in the women's washroom, as all trans men would be required to.

Also, how do you enforce that? Is there going to be someone checking ID at the door, but only if you look "manly?" In that case, wouldn't a male who identified as a woman, and looks like a woman, be able to slip by undetected anyway, or is this "bathroom bouncer" going to check everyone's IDs?

Even if I agreed with the thesis that people born with penises shouldn't be allowed in women's washrooms (and I don't), any implementation seems like it has far too many flaws to be remotely effective.

Instead, how about bathrooms have actual, private rooms instead of stalls with doors you can see over, under, or around? Wouldn't that be a more practical solution to the problem of bathroom privacy?

Thanks for reading. I'm curious to hear your thoughts.

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