Context: kitboga[1] is a streamer on Twitch.tv who makes a living of wasting scammers' time. He uses voice modulation and a variety of tools (such as a fake banking website) to increase credibility in the eyes of the scammers he gets on the phone.

[1] https://www.twitch.tv/kitboga

Those are Unicode 'curly' quotation marks in UTF-8 encoded as CP-1252. More information here: https://stackoverflow.com/questions/2477452/%C3%A2%E2%82%AC-...

My take on this: if we want vision ML to succeed at recognition in the same way as humans, perhaps we need to pre-process and present visual information in the same way as the human vision system? As far as I'm aware, we get a lot of info from our eyes about lines and orientation that assists in recognizing shapes.

I'm not well-informed about the current state of visual recognition DL, perhaps someone who is can tell us more about whether that approach makes sense.

When you train a deep convolutional neural network, the first couple of layers appear to take on this role, detecting simple features like edges and textures, which the higher layers build upon to see more complex objects.

For example https://www.researchgate.net/figure/Visualization-of-example..., where you can see (somewhat, if you zoom in) that layer 1 neurons are interested in very simple features, like strong horizontal edges, or particular gradients.

Eh, I'll get to it later.

Oh, the irony.

> not verifying and going with your gut

...which is exactly what "arguing from a position of ignorance" means. Once you attempt to verify medical advice (in good faith) you are no longer ignorant.

That is a ridiculous straw man and I'm pretty sure you are aware of this. At some point, there is trust involved. You balance the credibility of authentication guarantees based on the level of trust required for the transaction you're making.

Not to belabor the point, but... "copyrightable".

You never know when you might need some new fork handles.

Finally, we'll be able to tell people to go Duck themselves while in polite company.

1password actually supports password generation of the 'correct horse battery staple' variety, bypassing this issue entirely.

when will 1password be hacked? genuine question. is that a worry or is there something about the implementation that makes that not a worry?

When LastPass was hacked, the way they stored data helped protect users: https://blog.lastpass.com/2015/06/lastpass-security-notice.h...

It's funny that in a topic complaining about a company who spies on it's users someone brings up Last Pass which says right in it'a TOS they spy on all your browser traffic and share that info with marketing partners

https://www.logmeininc.com/legal/privacy

it basically says they collect everything possible to collect and will use it for anything they want including sharing with 3rd parties

So that's why they want me to change my password (I've had the same one since pre-acquisition days.)