Downvotes - explain why?
HN user
aaronsnoswell
Answer: No.
Not sure why this article made it to front page, but fwiw, I used to work as a research engineer in a role where using a confocal microscope in clinical trial settings was a regular part of my job. AMA :D
+1 I'm also confused about this post. What does 'steal their tokens' mean in this context?
FFS. I've been fighting uphill this past 5 years to get my colleagues, friends, and family onto Signal. This single decision will tank any hope I have of keeping them there. Literally the only reason I'm able to convince non-privacy advocate types to switch to Signal is because it is a drop-in replacement for their existing SMS application.
This decision is idiotic and will cause a mass migration off the platform. Why not take a better approach and work on a better UX to make it clearer when a message thread is secure or not?
[Australia]: "Hold my beer"
Haven't seen any root-level comments asking, so I'll throw this out there: Are there any good alternatives to YouTube?
I've been making tabletop game to enter into competitions (there are lots running!) and my significant other has been experimenting with making home-made ice-cream and sorbet :)
Brilliant :)
This is an intentional design decision in the language - not having lambda functions / functions as first-class citizens makes the code easier to optimize internally.
This is a very interesting idea and looks like a promising execution - I may try this with one of my repos. I have a question: it seems the only license options are IP-locked. What if a developer wants to issue non-IP locked licenses to paying users? This is a feature I would consider enabling - is that something you will support in the future?
Hi! Thanks for sharing. I would love to know what an 'Exponential+ Trend' is. It's no clear from the landing page and I can't find any links to more information about this. Congrats!
Amazing success story! The game is really fun! You should challenge him to add mobile support via accelerator!
I've read the front page and FAQ section but I'm still not 100% clear what this product is. Is it an active noise cancelling app that listens to your environment around the laptop and cancels noise out (like Bose QC25/35 headphones)? Serious comment - I think you need to explain this better on your site.
Completely agree with the OP. Had the experience of learning TF first, then switching to PyTorch. Cannot recommend enough.
Can someone with more karma modify the title to be less click-bait-ey?
If you're interested in learning Reinforcement Learning, then I can't recommend David Silver's lecture series highly enough. Youtube videos and slides are available for the entire thing. http://www0.cs.ucl.ac.uk/staff/D.Silver/web/Teaching.html
Haha. There should be an entry there for 'Oh shit - I just pushed our private keys to the public github repo'.
Possibly related anecdote; A few years ago I purchased a new sim card for my phone with a large Australian mobile carrier. After popping the new card in, I discovered ~10 real human being contacts on the sim that I had never heard of before (not tech support or business, carrier numbers etc.). They had names and everything. Contacted a few of them and couldn't figure out what the common factor was. I lodged a complaint with the carrier and got a personalized letter and call back from their state manager. No explanation why though. Still baffles me today. Do sim cards get re-used?
A very interesting result with big implications for the future AI arms race :) Congratulations and thanks for sharing!
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I can answer some questions via twitter (my handle is my HN username).
+1 for this use case!
Can someone explain where the gif image on slide 69 comes from?
Great article - I really enjoyed it. Who are you? Your blog doesn't have an about page.
Can you expand on what you mean by non-sequential and non-hierarchical?
I thought the title said 'Portal', not 'Postal'. Disapointed :P
The exiting thing for me is at 1:30 in the video. Smooth changes in the latent space lead to smooth changes in the shape (eg. the chair arms gradually recede along their longitudinal axis). This means you have good generalisability (the network is robust to input noise) and composablility (the network can produce novel results through transformations in latent space).
I built a barn-door electric drive astrophotography rig for long exposure star photos.
I agree with your interpretation here, but at my workplace the phrase 'Stargazers' means someone who does greenfield research - something quite different.
This article is terrible.