A product called Tabnine[1] was discussed on Hacker News recently that supposedly does this.

[1] https://news.ycombinator.com/item?id=18393364

Looks cool, but I can’t try it out on mobile. Good job regardless!

Much better! The OP’s version was not very mobile friendly.

Polar looks awesome! Do you plan to have support for a mobile app? For better or worse I do a ton of reading of PDFs on my phone while commuting by train. It’d be great to sync with my laptop too, but only mobile would be more than enough to get me started.

Thanks. Yeah. Some initial ideas but nothing concrete yet. I might apply for grants to continue dev on that front

Unfortunately, I am unable to read the article on my phone. The code examples do not render properly. They extend off the left and right sides clipping most of the code. Some sort of word wrap or shrinkage might be better.

This seems to be more of a story of a flawed interview process. The author claims all the interviews when very well. This suggests their questions are not substantive enough to actually distinguish an experienced candidate from others. Alternatively, the “catfish” was amply qualified and faked references for reasons not discussed in the article.

Fortran is still going strong with Fortran 2008. And even better, it’s backwards compatible still with Fortran 77.

Critically, though, it's not the same Fortran.

Fortran 2008 is VERY different from FORTRAN 77.

Very good point! I find the structure of modern Fortran very clear (although somewhat verbose compared to same python).

check out the new impressive built-in parallel features in Fortran 2018 here: https://goo.gl/ZbH4t7 GFortran 8.1 has already implemented the majority of it, and Intel is already adding the new features to their new Intel Fortran 2019. I don't know of any other mainstream language at the moment, that has native shared- and distributed-memory parallelism capabilities based on one-sided communications without recourse to the complex ugly out-of-language MPI library calls.

How are recommendation algorithms robbing anyone? I can understand a credit score algorithm denying a loan as potentially robbing. Recommendations seem at the worst to be as annoying as a poorly curated catalogue. Am I missing something?

That is too strong a conclusion. People with nut allergies already have procedures for knowing if nuts are in food, for example, asking the restaurant or preparing food their self.

Without knowing if his app was accurate, we cannot say whether building or not building the app was the right decision.

The app was very inaccurate during my testing. Hiding almonds in a dish made out of pure chocolate (a Hershey kiss) would be an easy counter example.

Also, I have a nut allergy so I have a complicated set of procedures to figure out if nuts are in the dish (that was the main motivation for the app).

Humans aren't any better at determining if a kiss has invisible almonds. An AI could solve that (better than a human could!) by knowing memorizing ingredient lists form public databases and tagging foods that have nutty variants, often times that people wouldn't know about.

I think it's fair to say humans are better at reasoning about uncertainty and risk. If the food isn't in the database, or we aren't sure if it's a match, what does the algorithm say?

ML algorithms work on statistical performance against loss functions or error rates. They aren't (yet) good at understanding the difference between a mistake that causes a missed dessert and a mistake that might kill you. Maybe they can guess correctly a higher percent of the time if shown flashcards, but that's small consolation from the hospital bed. They also aren't that good at the limits of their own knowledge, i.e. saying "I don't know".

Apologies for being slightly off topic.

While trying to read to article, my browser (Safari on iPhone) was redirected to a scammy looking amazon gift card website. Did anyone else have this problem? I am trying to figure out if it is a problem with Time.com or my phone.

Likely your phone, given that no-one else has complained.

Sometimes I miss the HN of 2011-12, where literally 80% of the comments were about the design of the site, and how it didn't work on Safari/IE/Firefox/Chrome/Lynx.

Not often, though.