alook

This is awesome. Some friends and I have a group chat called ThingFaces where we do the same thing.

We noticed that there's organic ones (in tree knots/clouds) or random ones (cracks in cement, rust peeling) or man-made ones (anything designed).

I especially love ones involving a shadow hitting something at just the right angle - those feel extra hard to find :)

Thanks for sharing this!

I laughed out loud at that 100 number too when I was reading statuspage :P

They definitely do train their own models, the founders have described this in several interviews.

I was surprised to learn this, but they made some interesting choices (like using sparse mixture-of-experts models for their tab completion model, to get high throughput/low latency).

Originally i think they used frontier models for their chat feature, but I believe theyve recently replaced that with something custom for their agent feature.

Love this advice. I’ve always struggled with the same thing.

One friend started telling me to get over myself and publish, then he reworded it to:

“Get over being under yourself.”

For some reason that one stuck with me and gave me the strength to ship my first few pieces of writing.

At a startup I worked at, one of my cofounders was an incredibly skilled designer, and he took a lot of pride in the design of our homepage. He spent a lot of time in particular finding the right fonts, and would often complain when he saw other company homepages with inappropriate font choices.

One April fools' day, we thought it'd be funny to make him think that we'd changed the company homepage to have a comic sans font. Of course it'd be going too far to actually change the website publicly, so we decided to set up a DNS proxy inside the company office.

We took our company homepage, recompiled a static site with comic sans, and hosted it on an internal server. Then we set up a DNS proxy that resolved our company homepage for requests coming from inside the office to our comic sans static site, but otherwise the internet worked normally.

We made sure that everyone else in the company would feign outrage when he came in and checked the website, so the joke lasted for a couple hours before he thought to check the website from his mobile phone. Later, he appreciated the joke and figured he should have connected the dots sooner and realized that it was April Fools' day.

Also would love to hear an answer to this

These results are beautiful!

Just curious, how did you end up on fxhash?

Did you consider any other platforms, or was hicetnunc the only comparable platform you’d use for this kind of thing before fchash came around?

These are awesome! Thanks for putting your work out into the world, turtlesoup.

In my free time I make paintings of outputs from GANs/Deepdreams/etc. I've been wanting to paint something based on a model trained on illustrations, but I hadn't seen anyone decent GAN trained on that kind of dataset yet. Thanks for sharing your code, this is really exciting to see!

It's true that there aren't too many practical applications of GAN's yet, but I'd argue that transfer learning is already pretty powerful. It's fairly commonplace to approach a compute vision task by starting with VGG/AlexNet/etc and fine-tuning it on a relatively small dataset.