Depression for me.

No. I wish I could stay awake forever sometimes.

That we’re able to dodge the incoming wave of fascism and peacefully skim board into progressive politics.

Depends who you are. If you’re a person of interest to the Russians for any reason, I wouldn’t trust it.

Same. I’ve found I’m most productive from like 3-7 pm, which sucks. I’d like to be productive in the morning or in the early afternoon instead of mostly past regular work hours.

I’m an AI researcher and yes, that’s basically right. There is no special “lighting mechanism” portion of the network designed before training. Just, after seeing enough images with correct lighting (either for text to image transformer models or GANs), it will understand what correct lighting should look like. It’s all about the distribution of the training data. A simple example is this-person-does-not-exist.com. All of the training images are high resolution, close-up, well-lit headshots. If all the training data instead had unrealistic lighting, you would get unrealistic lighting out. If it’s something like 50/50, you’ll get every part of that spectrum between good lighting and bad lighting at the output.

That’s not to say that the overall training scheme of especially something like GPT-4 doesn’t include secondary training operations for more complex tasks. But lighting of images is a simple thing to get correct with enough training images.

As an aside, I said that website above is a simple example, but I remember less than 6 years ago when that came out and it was revolutionary, so it’s crazy how fast the space has moved forward in such a short time.

Edit: to answer the multiple subjects question: it probably has seen fewer images with multiple subjects and doesn’t have enough “knowledge” from it’s training data to accurately apply lighting in those scenarios. And you can imagine lighting is more complex in a scene with more subjects so it’s more difficult for the model to use a general solution it’s seen many times to fit the more complex problem.

This looks great! I imagine the documents you upload are used for RAG?

If so, do you also show citations in the chat answers for what context the model used to answer the user’s query?

I ask because Verba by weaviate does that, but I like yours more and I’d like to switch to it (I’ve had a hard time getting Verba to work in the past).