greenmountin

The app works for 1) arXiv papers 2) any url of a paper obtainable from the address bar of your phone.

If you copy-paste, or copy and use the clipboard button, it will try to identify the arXiv identifier from the url, and then show you the title + abstract. Then you have to download the PDF, preview the transformed copy (copy stays in the cloud for 24h), and finally request a fully reflowed copy. The reflow is limited to about 30s via AWS Lambda, so this is not for dissertations -- this is for 2-20 page papers you can reasonably read on your phone. Nevertheless, there is a progress bar at the top of the screen to show you it's working, at that stage. These steps are pretty much reproduced in the app store images.

For a non-arXiv link, the only difference is that there is no abstract. But note, the link can't just be to the journal page, you've got to get a PDF mime-type when it's requested.

There are some things I should change, but it's very useful to me, and I just verified it works for both arXiv and non-arXiv. If it's not working for you, I would suggest deleting and reinstalling (sorry!).

I will look into it!

edit: fyi it's originally because the information about Encryption Compliance is so confusing. I just use HTTPS and I'm pretty sure the documentation has gotten clearer in the meantime, so I'm optimistic.

There is an early-stage community-sourced device which does processing offline: mycroft.ai

Interesting that the draft was predetermined (unlike the previous exhibition, which was live), allowing OpenAI to train ahead of time on a restricted set of matches. I wonder how long that was?

How do you beat the "tyranny of the reply"?

Automatic karma deductions for 3rd tier replies? Detachment + quoting after the 2nd tier? Positioning based on the cumulative karma of the whole tree? Automatic collapse of higher tiers (a la reddit...) Super-powered collapse buttons, for when people get tired mid-tree

I wish something were done, but I bet it will be an addon, not HN, first.

Does anyone know about Azure auto-scaling? It says "most [VM's] include load-balancing and auto-scaling free of charge", is that true and is it any more friendly to hobbyists than the other two?

It was very disappointing to see the auto-scaling services for GCP and AWS basically require a $20/mo load balancer right off the bat. I have an app that is quietly puttering away on a single Digital Ocean droplet, but could at any moment, uh, make it big and I want to be ready. But I can't really stomach the $20 just to turn on auto-scaling somewhere.

This headline (on yc) is missing a key verb from the actual paper's headline, making it confusing. The actual title is:

"Age differences in learning emerge from an insufficient representation of uncertainty in older adults"