[swalsh]

Been using the model for a few hours now. I'm actually reall impressed with it. This is the first time i've found value in an image model for stuff I actually do. I've been using it to build powerpoint slides, and mockups. It's CRAZY good at that.

[johnwheeler]

Yeah, it's funny. I would expect to see more enthusiasm versus just basic run-of-the-mill, "oh, there it is". Leave it to the HN crowd. This is incredible. I don't even like OpenAI.

[rkozik1989]

LLMs make for great day 1 demos, but in a few weeks I promise you many people will be able to tell nearly all of the images generated by this are AI. It just takes time and exposure to figure out the new common flaws.

Frankly, I am not sure if they will ever actually be able to solve this problem or if it'll be a continuous game of whackamole, but regardless there's a large crowd of people out there where if they can tell something is AI generated they will not support the company behind it. Being able to tell anything is AI generate cheapens brands.

[johnwheeler]

You're thinking is like everyone else's, and it's backwards. The world will learn to accept it as the standard way of doing things and people will appreciate one generation over another and look at manual image creation as a niche activity like blacksmithing vs assembly-line manufacturing and automation. With the latter, you appreciate the intent and the end result. Same thing here, people are just adjusting to it.

[pembrook]

HN is engineer heavy so its a bunch of people who spend their days looking at code. If it's not a coding model they'll likely never use it.

To the average HN'er, images and design are superfluous aesthetic decoration for normies.

And for those on HN who do care about aesthetics, they're using Midjourney, which blows any GPT/Gemini model out of the water when it comes to taste even if it doesn't follow your prompt very well.

The examples given on this landing page are stock image-esque trash outside of the improvements in visual text generation.