I don't wanna be the guy who pulls out the "you're holding the phone wrong" from Apple, but... you're holding the phone wrong. Here's an example of some thing

I don't wanna be the guy who pulls out the "you're holding the phone wrong" from Apple, but... you're holding the phone wrong. Here's an example of some thing I did off the cuff. I have a bunch of hand written notes that are mind maps and graphs written on old notebooks from 10 years ago. I snapped a picture of all of the different graphs, threw them into chatGPT and asked it to convert them to mermaid UML syntax. Every single one of them converted flawlessly when I brought them into my markdown editor. The amazing thing here is that that the ChatGPT large language model wasn't even explicitly trained for this at all, but with the massive quantity of data that it's trained on its able to just connect the dots. If you're using chatGPT as nothing more than a glorified fact checker and not taking advantage of the multimodal capabilities such as vision, OCR, Python VM, generative imagery, you're really missing the point.