what spec is your local mac?
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My earliest contributions to opensource is probably k9mail. I was still early in my undergrad, and wanted to get my feet wet in the opensource space, and to prep for google summer of code. K9 mail was my choice since the community (cketti) was friendly, and accommodating.
I started implementing the long-press events to handle image/attachment menu options. My PR wasn't upto snuff, but cketti was kind enough to clean it up and merge it. They even put my handle in the commit logs. Looking back, I probably wasted their time with my PR, but they were gracious enough to not complain, and gave me credit.
I still fondly remember those days and nights building upto the pr, and then refreshing the commit log page to see my handle show up.
I hope cketti finds happiness with whatever they do next.
I use selfhosted vaultwarden [0] instance (its a rust implementation of the bitwarden server), and the bitwarden apps (i point the apps to use my server instead of bitwarden).
Vaultwarden + bitwarden client apps (for desktop/browsers) have passkey support, and i've been using them for a month or two without any issues.
That being said, bitwarden client apps for android and ios are going through a rewrite (from xamarin to native iirc), and are yet to support passkeys. However, the bitwarden folk said passkeys are the next feature coming to these apps.
Happens to me too. I use a display link'd dell dock from work, with 3 monitors. Every few times i plug it in, the wall papers revert, and the wallpapervideoextension process starts soaking up ram and cpu cycles (I dont use video wallpapers at all, just static images from my folder as wallpapers everywhere). I've made it a habit to check the activity manager everyday after I plug in the mac, and kill that process if its taking up too much resources.
In part 1[0] of this series of posts, the author mentions they use Pragmata Pro [1].
[0] https://arne.me/articles/emacs-from-scratch-part-one-foundat...
Oh that sounds interesting! I'd love to read about it, please post/write!
I'm assuming this [0] is what the commenters are referring to. Google is proposing changing web request api, which can break how ublock origin works.
Also, this [1] happened.
[0] https://www.xda-developers.com/google-chrome-manifest-v3-ad-... [1]: https://github.com/uBlockOrigin/uBlock-issues/issues/745
IIRC tesla still doesn't use LIDAR. Just wanted to point that out.
Adding to this, it has webddav support, so you can use gdrive/onedrive or even next cloud. I use my self hosted next cloud instance as the storage and sync.
And for mobile, i use this seemingly now-abandoned app called papership [ios][0]. It lets you signin to zotero and your webdav provider, so you have a sync of books/papers, along with your highlights, notes and whatnot. Thankfully, it seems like zotero are hiring ios devs, so a first party app might be on the horizon.
[0] https://www.papershipapp.com/
edit: seems like papership recently started getting updates again, so its not abandoned anymore.
I've used mailcow before. It's a pleasure to use and comes with a decent-ish material design mail client as well.
I had my own mail server running for close to a year after which i gave up because i started seeing issues delivering mail to gmail and apple mail accounts. I had to keep tinkering with the DKIM/DMARC/SPF entries to make sure i'm compliant with gmail/outlook/etc. At somepoint i gave up because it wasn't worth the investment of time.
FWIW, i used mail cow [0], which was a delight to setup and use. And it comes bundled with a decent-ish material design webclient.
I would love to go back to hosting my own mail server though. As of now, i shut it down, and use gsuite.
I made a discord chatbot for interacting with gpt 2: https://github.com/itsmehemant123/gpt2-discord-bot
I use hopper [0] for something similar. But considering google's scale and resources, google might give me more accurate predictions.
Isn’t it the opposite - time slows down for you when you move at relativistic speeds, and hence you end up getting to alpha Centauri in 5years w.r.t clocks at Centauri or earth?
Oh wow, the newer model is so much better!
If anyone is interested, I have a repo for using it as a discord bot [0].
I didn't know that openAI released a newer larger version though, good to know!
I use it in our lab, and it works very well. However, there's no multi-user support. So anyone who connects to the server gets served the editor with the same workspace.
That being said, I think they have the multi-user support in the roadmap.
Now that nvidia has released a cheaper jetson board, I'm really itching to get it and build a small RL car. Training on the device would be out of the question though.
Anyone know of any successful DIY small RL cars?
Wow, that does look really good! Thanks!
The transformer paper was quite influential in machine translation space. This resource [0] posted here a while back is a good place to learn and get a better idea how it works.
Another perspective in similar veins would be the rise of AutoML. Given its absurdly high computational cost, I'd think only enterprises with massive computational power at their disposal would be able to use it.
I've had to use both pytorch and tensorflow for various purposes, and i felt pytorch was more pythonic. In the end, you can use either to implement an architecture, but I liked pytorch quite a bit.
Just finished publishing my blog using gatsby 1.8! Congratulations and great job!
Channels, permissions and DMs are more powerful in discord.
But there's no separation of workspaces like in slack. Rather, they have servers. You log into discord with one email, and all its associated servers are shown. So unlike slack, you can't have different servers each with different email ids to login to.
Amit's blogs get posted quite a bit, but they're a pleasure to go through every time. My favorites are his posts about noise and map/terrain generation with noise -
https://www.redblobgames.com/articles/noise/introduction.htm...
Is there is a guide to help setup a self-hosted version fo this app? I'd assume there would be a server which does the actual parsing and syncing, along with a web app which is used to render onto a web page?
I absolutely love the idea by the way, can't wait to try it!
Aren't they supposed to be the same GPUs as before, but with a little overclock? Hence the _x_ branding to the name
With deepfakes this was being discussed. When a group of redditors managed to create a network architecture to put celebs in porn with surprisingly decent results (in some cases), I think a sponsored research group can get better results.
- https://www.brookings.edu/blog/order-from-chaos/2018/05/25/t...
- https://www.msnbc.com/hallie-jackson/watch/fake-obama-warnin...
- https://techcrunch.com/2018/06/04/forget-deepfakes-deep-vide...
Wow! I had to implement a small 3 layer network in C for a class, and it was interesting. It was a ton of work though, but I learnt a lot.
Will go through the source code for the kicks. Thanks!
True! The fact that you'd be able to use pretty much any GPU - even integrated/AMD/NVidia would really help.
Speaking of which, doesn't the new Vulkan API include compute too?
Wow, would be nice if this was integrated into the OpenAI environments