It started as a personal need. During my master’s, I felt I needed a note-taking tool that helped me explicitly visualize connections between different topics, something like a graph view. (I wasn’t aware of Obsidian at the time.)
Then I became a bit obsessed with creating something visual and compelling (like Miro) but also deep in content, behaving more like a knowledge base.
Miro is also very expensive (at least here in Brazil), so maybe NodeLand can become a more affordable alternative for individuals and small teams.
I thought OpenAI had been sleeping a bit and given up on the image generation race. However, with the recent release of the oddly named 4o Image Generation model (Why not continue with the DALL-E naming scheme? I personally love the pun) it looks like they cooked up one hell of a model.
If you are into visual GenAI you have probably already seen many examples of quite incredible outputs from the new model. However, we decided that we wanted to make a large scale evaluation, based on 200k human responses across 13k image pairings.
Unfortunately that also meant that we had to generate a large amount of new images, and since OpenAI have not yet opened up API access, we had to do it manually through the UI :(.
The benchmark tests the model in coherence, prompt-alignment, and overall aesthetic preference. Especially for the first two, OpenAI's new model is very far ahead of the competition.
Check out the detailed results and the collected data which is openly available on huggingface!
Cool! Did not know about this. I was not able to see anything other than the pipe - which I assume is the SDR versions, maybe some clearer instructions/limitations (and description of what you should expect to see) would be beneficial.
Pretty cool! And also really difficult as it turns out. Love that you can try it without signing up!
Runs quite smooth and I like the simplicity of the UI. Maybe a button to return to the starting position is missing?