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I use a combination of a TODO.md file shared on all my devices (two laptops, one phone, one VPS) with Syncthing, Google Calendar, and leaving emails/messages unread for external requests.

I've tried Notion, Trello, and Keep in the past: they felt over-engineered and too reliant on having an internet connection/browser window open, so in the end I always found myself going back to basics. Haven't had a single problem with my current setup so far.

Webrings are still a thing: https://geekring.net/list.txt

For a Tensorflow/Keras alternative check out Spektral: https://graphneural.network

I went through the command trying to understand what you did and I realized I know nothing about using the CLI properly. So cool!

As an Italian, reading this is site is absolute bliss. There's just so much to discover. I really suggest non-Italian speakers to automatically translate it with Google and dive into it.

I don't understand why we get daily articles about Google ads on HN's front page. Install an adblocker, problem solved.

I've sent one request as a test, if it works I'll do it systematically for all data brokers listed here https://yourdigitalrights.org/data-brokers

Since the devs are around this thread: it would be nice to have an option to send requests in bulk.

This has been my go-to software for making diagrams since I was an undergrad. Absolutely stunning. I recommend their stand-alone version for offline editing as well.

You could say that there are two main aspects to epilepsy research. One is on the medical side, surgery, drugs, etc., one is more about understanding the phenomenon by studying brain activity and how it behaves. The two are very strongly connected, of course, but the second can also be tackled by engineers, mathematicians, physicists or computer scientists.

You'd be surprised by how many different people work on this subject!

Grazie :D

I agree, it's really fascinating. The thing that interests me the most are that many natural phenomena can be modeled as a network of some sort. It's mind-blowing how everything is connected.

Definitely macro scale.

I'm very new to this whole field, but usually to model the LFP of single neurons they use MUCH more detailed descriptions, down to individual membrane potentials.

This is probably not even a good model of LFP in general, it's more of a system that behaves like a brain that has seizures. They have a full discussion about it in the paper. The interesting thing about this is that by changing the connectivity you also change the attractors of the system, meaning that a "seizure" can happen or not depending on whether some nodes are connected.

Hey, you're welcome! I will definitely try to expand this in the future, although I don't think that this particular model will be suitable. It's excessively simple for such a complex phenomenon. But there's a ton of literature out there, so sure!

This whole antitrust debate around Google feels weird to me. People act like Google is not a for-profit company, but some sort of philanthropic association that is law-bound to provide good technology to the people.

Google has only one goal, which is selling advertisements. To do so, it provides, FOR FREE, the best technology services of the planet, including what is basically the entrance door to the internet and a piece of software to make the experience of browsing pleasant. Nobody forces Google to do so. They could easily make people pay for the services, and nobody could say a thing. And yet they give this all for free, even allowing you to block the only stream of revenue that they get from you (ads).

The antitrust controversy around Google is just a major case of wanting to have the cake and eating it too. It's like we've had somebody giving us free food for decades, and now we're suropriesd that the terms of a deal that is extremely advantageous for us are changing. We've become accustomed to the idea of fre Google, and we've forgot that Google could make us pay a fee for their services, and we would all shut up and pay.

I was ok with this until the part where OP changed the background color of the top of the page. From there, it all went downhill and very quickly became yet another "yay everything is flat and overly saturated" design. Boring and less usable.

I'm not even going to talk about that abomination done for the content.

Glad you like it. Now go and build crazy stuff!

It took me less than a minute to install Stylus and import all my userstyles from Stylish.

Key points that we can take away from this article:

1. Brutalist design means having huge-ass boxes floating around, with cool animations, sans-serif fonts, all powered by 500MB of JS libraries

2. Dropbox is exactly the same as it has been for the last 10 years, they just conformed to the ubiquitous standard of modern web design, and redid their logo to be EXACTLY like the logos of all the other tech companies in the world: sans-serif font, simple stylized icon

Good read.

As a side node, I think that this experiment I did on my blog a while back accidentally matches the definition of brutalism better than the examples in the article: https://danielegrattarola.github.io/metaverse/

>The ability to produce derived works is a key attribute of open source [Citation oh so needed]

Honestly, it's a bit of a gray ethical area for me. On one hand, what you say makes perfect sense. On the other hand, I like having my cake and eating it, too. It's like having a buffet dinner where the host tells you: "sure, you can eat this juicy steak, but you also have to eat the surrounding shards of glass that I've put there to feed my thirst for human dignity". If I particularly like the host I might do it, otherwise I'll just take the steak and leave.

Its* Stupid autocorrect

Seriously, tech journalism needs to get it's shit together because it's becoming annoying. If I see another article about a mediocre algorithm presented as AGI, I'm gonna start posting on my blog about how every failed experiments is really Skynet being lazy in its teenager years

All these are definitely cool, but I think we're still a long way from leaving the "look at this cool toy" status and stepping into the "I can add value to society" status.

Furthermore, if we consider that most of these DL paper completely ignore the fact that the nets must run for days on a GPU to get decent results, then everything appears way less impressive. But that's just my opinion. I love working in deep learning, but we still have LOTS of work to do.

I think that this overall push towards eliminating anonimity and trolls from the internet can only have negative outcomes. Sure, nobody will ever be offended again, but at what cost? And who are these easily offended people for whom we're sacrificing freedom of speech?

It baffles me how nobody sees a parallel with 1984, here, and it's not the usual cliche claim. From: >do not say anything against someone To: >do not think anything against someone The step is incredibly short.

Moreover, how are we supposed to have true bipartisan information if we can only see one side of the coin because the other one would require to talk bad about someone?

I can see every dictator of the world smiling, as proposals like this are being considered throughout the world.

I understand that most people working with deep learning wouldn't want this type of thinking to spread amongst the public, and I surely don't want it either. But you have to be totally unaware of reality to think that DL is the definitive tool for AI. Most impressive results in DL in the past 2 years happended like this:

>deepmind steals people from the top ML research teams in univerisites around the world

>these people are given an incredible amount of money to solve an incredibly complex task

>a 6000 layers deep network is run for 6 months on a GPU cluster the size of Texas

>Google drops in their marketing team

>media says Google solved the AI problem

>repeat every 6 months to keep the company hot and keep the people flow constant

>get accepted at every conference on earth because you're deepmind (seriously, have you seen the crap that they get to present at NIPS and ICML? The ddqn paper is literally a single line modification to another paper's algorithm, while we plebeians have to struggle like hell to get the originality points)

I'll be impressed when they solve Pacman on a Raspberry Pi, otherwise they are simply grownups playing with very expensive toys.

Deep learning is cool, I truly believe that, and I love working with neural networks, but anyone with a base knowledge of ML knows better than to praise it as the saviour of AI research.

Rant over, I'm gonna go check how my autoencoder is learning now ;)

XPS15 has 1080 to 4k display, up to 32GB RAM and is 17mm thin (in the base, the screen adds up a couple mm). Battery is rated at 17 hours on the 1080, and this is a number that I've actually confirmed while working with a friend who owns one. The 4k should get you to 10 without big problems.

Also, you do know that you are limited to 1200p scaling on the 15" MBP, don't you?

Is he ill or something? He doesn't seem old enough to be fading out so often like he does... Is he lost in a world of data even when he's giving talks?