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dubin

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worth bearing in mind that the thing we call exercise now used to be more like: building shelters, finding food with our tribe, constant movement/walking... a lot of stuff that was highly socially situated and meaningful. also playful often, I bet. very different than from today

I'd like to play around with something like this, but from my understanding my machine (Macbook, 2021 M1) isn't nearly powerful enough (right?). Are there remote/cloud environments where I can run models like this?

SEEKING VOLUNTEER/TAKEOVER: WaybackHN

A number of years ago I made https://waybackhn.com. It was a top HN post, and perhaps some of you remember it! https://news.ycombinator.com/item?id=9746188

As of recently I have not had the time/energy to maintain it, or to make improvements here and there (not that much needs to change for it to satisfy it's purpose). As you can see it's not currently working (although it was up to a couple weeks ago!).

It's a Python/Flask app. Hosting costs are $5/mo via PythonAnywhere.

Feel free to email me at waybackhn@gmail.com if you are interested.

I second this and will add a recommendation for Mastering the Core Teachings of the Buddha, which is legally and freely available here http://integrateddaniel.info/book/ It really has the flavor of "meditation for hackers," whereas The Mind Illuminated's flavor seems more "meditation for engineers."

Yes! I also use Complice and think very highly of it. Coworking rooms with friends are incredibly useful at turning nights I otherwise would be slacking off into productive nights. Another feature that I find useful (aside from the core feature set) is the Beeminder integration, which lets me update all the things I Beemind w/ little effort.

I do use Complice in tandem with Omnifocus. I use Omnifocus to store big picture planning and all the tasks I want to do in the future. Then on a daily basis I set intentions for the tasks I want to do that day in Complice.

To add a data point, a friend and I made one of these over the weekend (with Trump and Michael Scott https://youtu.be/0Rexuh-VY6E)

It was shockingly easy to do. We're technical, but neither of us know a lick about machine learning. It took a couple hours to collect training data (we turned speeches/interviews from each of them into thousands of photos), and 20 hours to train the model.

In the future you could automate the data collection for a person even more, to the point where they just need to film a selfie of themselves for a couple of minutes in a couple of different lightnings, and boom, after you train their decoder, you could put them on any celebrity.

EDIT: This is what we used https://github.com/deepfakes/faceswap Would be happy to walk anyone through how to do this

I think some people will find this to be the case, but others (me) are really happy using a distribution. I struggled for a while trying to get vanilla Emacs to the point where it felt natural and didn't bother me, but ultimately wasn't able to. I've been using Spacemacs now for over half a year with only a handful of customizations, and I've been very happy with it.

Something cool you can do with React is create an intelligent `Heading` component that wires into context to determine where it is at in the tree. It could then adjust it's actual HTML heading element accordingly. So for example, when you have a `Heading` inside another `Heading`, they render to `h2` and `h1` respectively.

Agreed that this is awesome! Would love to also see Genius-style annotations, where the comments are on lines instead of the margins. I think this makes it slightly easier to read the text without scanning back and forth between the text and margins to check if what you're reading has been annotated

Also agree that YC should consider a trip to Philly / Penn. There are a lot of students in the area that would flock to any talks or office hours