tz18

Tapestry (Season 6, Episode 15)

>AI makes the math world more accessible than before. If you have a question about a proof in the lecture, you can just ask it.

I think that is great, really! but does anyone remember asking a TA or teacher or prof or parent and getting told you can work it out for yourself, or maybe just given a hint? What if that is an essential part of learning, having to work through things you don't understand, but that you have the tools, the foundation, to figure out.

A calculator can't teach you math. A forklift can't build your strength. This is really a double edged sword, as far as education or accessibility goes.

You have to constantly ask... what do I lose by not figuring it out myself?

The same things Intel said 10 years ago.

Hi Mr. Roberts,

How hard/slow is it for an American citizen to bring their non-American wife over these days? My friend is a dual citizen considering taking a job in the USA but he's a little concerned about whether his non-American wife and kid could join him. She has a B1/B2 visa already. Is there some strategy to it? I heard the process is super backed up.

This is the sort of shit that gets you glassed by the watchers

No, this is just about keeping people from defecting and taking secrets / cash with them. Many Chinese people working for state controlled companies or similar (schoolteachers were one ridiculous example I think) in super mundane jobs have their passports taken away or exit bans for "national security" reasons.

>I noticed something that seemed almost too obvious. While our sophisticated models were still processing frame sequences and temporal features, the viewers in the comments section had already identified the crisis.

>Comments like "don't do it" or "it's not worth it" were appearing consistently. While we were pouring resources into optimizing frame embeddings and acoustic models, the clearest signals were hiding in plain sight.

First, I call bullshit. There's no way you're the first person in the room to think "let's check for keywords in the chat". I can believe that being able to tell these kind of bullshit stories is what gets someone promoted at the big companies, but I think this one is not even particularly good. Wouldn't any interviewer be skeptical? Feels like a Feynman story. Then again maybe life is stranger than fiction sometimes. Or maybe the real contribution at the time was in suggesting a feasible mechanism to incorporating the comment data?

Secondly, I hope that whatever model you came up with extended to livestreams without viewers, or livestreams where the viewers were egging them on. Also "Don't do it" seems like a pretty weak signal when you consider the entire variety of dumb shit people do on livestreams, e.g. the cinammon challenge, ice bucket challenge, whatever.

Also this is Facebook we're talking about, shouldn't they already know whether a user is a suicide risk in general from all the data mining shit they do? Shouldn't there just be a report button on the stream so users can report such things?

Sincerely, guy who went from new grad to laid off in 3 years

Number of employees is not the correct comparison, total labor cost is. Intel intentionally pays middling compensation so you would expect to need more people to do the same job.

>For the sake of simplicity, I will ignore that Smash games have stocks, and assume each match is a total win or loss.