ramjambamalam

joined 2 years ago
[–] ramjambamalam@lemmy.ca 3 points 1 year ago* (last edited 1 year ago) (9 children)

What are they talking about? Is 9-5 not the standard office grind? It's not even polite to phone someone before 9 am.

[–] ramjambamalam@lemmy.ca 8 points 1 year ago (3 children)

How about instead of parking minimums, public transit infrastructure minimums?

[–] ramjambamalam@lemmy.ca 4 points 1 year 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 1 year 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 1 year ago (2 children)
[–] ramjambamalam@lemmy.ca -1 points 1 year 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 1 year 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 1 year ago

What about giving them a choice without mandating either?

[–] ramjambamalam@lemmy.ca 2 points 1 year 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 1 year ago* (last edited 1 year 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 1 year 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 1 year ago (4 children)

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

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