Based on how neoliberal capitalism tends to work it will simply lead to more profits for hospitals etc.

> Starting a successful startup is the most common way to become a billionaire, so in effect I've spent the last 21 years training people to become billionaires. So far about 30 of them have, but there are many more in the pipeline.

Seems to me that right off the bat he completely undermines his own point - less than .5% of the founders being funded at basically the best connected best financed incubator become billionaires. Easy, right?

I won't even go into the embarrassing math that follows... pyramid scheme salesman levels...

Comments URL: https://news.ycombinator.com/item?id=46883886

Points: 2

# Comments: 0

The series was cancelled after 2 seasons, so many plot lines were left unresolved.

What's more interesting to me though is the complete lack of mention of labor unions as a potential defense mechanism for engineers (either in the OP or in the conversation here, at least so far).

For a while now I've felt it's quite arrogant and completely naive of us to not accept that we're just keyboard workers, and not rare special flowers that will forever be economically privileged.

Comments URL: https://news.ycombinator.com/item?id=43059846

Points: 1

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=41998840

Points: 98

# Comments: 122

Fully agree. Axler says it quite clearly that the book is intended for a second course in linear algebra. While not an applied text, I find it close enough that it allows you to subsequently go back to your applied material and see it with new eyes.

Personally I find it suits my needs perfectly, even though initially it can be intimidating. But once you start getting the hang of it I think it can allow you to build a much deeper intuition for things than a more applied text.

Why not? What's the thinking here?

> Probably not, Snowden is part of the Russian Spy and Disinformation campaign. He is basically a Russian agent.

Any evidence for that?

Comments URL: https://news.ycombinator.com/item?id=41148164

Points: 77

# Comments: 73

For that you need to threshold your predictions. Ideally you'd like your model to generate a bimodal distribution so that you can threshold without many false positives etc.

In a generic setup, imagine you have a binary classifier that outputs probabilities in the .45-.55 range - likely it won't be a really strong classifier. You would ideally like polarized predictions, not values around .5.

Come to think of it, could this be an issue of non-ergodicity too ( hope I'm using the term right)? i.e. state level prior is not that informative wrt individual vote?