You are making changes to a products UX based on graphical inference?

I could see a decent business supporting the logic problems a UX designed from AI graphics would introduce ;)

>Be kind. Don't be snarky. Have curious conversation; don't cross-examine. Please don't fulminate. Please don't sneer, including at the rest of the community. Edit out swipes.

Comments should get more thoughtful and substantive, not less, as a topic gets more divisive.

Not looking to monetize at all. But inference is expensive. So might have something to cover costs.

Some backstory:

When I was growing up in the early 90s, my dad took me into his office over the weekends when he was doing some overtime paperwork. I would be on his IBM Windows 3.1 workstation. He didn’t have any games on his work computer, so I would spend the entire day “playing” with MS Paint. I couldn’t read yet (3-4 years old), but I was able to figure it out.

We didn’t have a computer at home. But seeing how I was so good at it, my parents bought one. I eventually got into coding etc. All of this defined who I am today.

So I wanted to recreate some of this magic, for my own son. He’s 3 months old, so not quite the right age. But I have some free time on parental leave. So why not. Might be useful for parents with 3-5 year olds.

Let's take a deterministic algorithm that predictably corrects your typos and build it on AI. It will offer you no benefits, but it will completely destroy the utility since it will never work predictably or accurately.

Suggest puts up options for the next word.

They both serve the same purpose of helping the user quickly and accurately communicate on a cell phone. Like auto-suggest, I rely on auto-correct to fix things that I know I commonly mistype. When it doesn't work predictably, it's useless.

Honestly I was quite surprised at how regular people are impressed by this tech. I was also surprised by how little regular people are aware of this tech even existing.

We, on hackernews, are largely unimpressed. But that’s not the vast majority of people.

>> Yeah! Don't they make a trillion dollars a year? How is it so crappy?

And for some damn reason they refuse to stop changing "ok" to "OK" like we're all octogenarians on Facebook.

It’s possible this time is different, but people at my company were entertained by DALLE for all of 5 minutes before no one ever mentioned it again. The value proposition is simply low.

I guess you've never seen my drawings...

I've already seen tools that support workflows where you compose art by iteratively generating a piece of it, performing some correction, and repeating. So, I think there's room in the art world for less than perfectly generated art. That said, let's not kid ourselves that the typical failure modality of ML today (99% correct enough, 1% disastrously incorrect) doesn't either cause it to be entirely useless in many applications or end up wreaking havoc on end users in others.

This revolution is allowing us to conduct the orchestra instead of playing each instrument.

Is that a "large" organization market or not depends on your metric and what the market positioning of the offering is. I would see applications in both specialist content creation tools as well as "stock photos and merch".

In terms of finding stock photos, if you add a better text api that is easier to control this probably can compete with static stock photos in the sense that people can tune their images as much as they like. For example with their corporate merch (Imagine producing a slideset at Acme co. "Please give me an elephant and walrus wearing acme caps".

Ad agencies already love that they can train a model to quickly iterate product shot ideas extremely rapidly.

Then we have "the usual" effect automation has on market demand - automation increases the productivity of a task requiring labour, hence allowing to reduce the cost of a unit of production, which generally increases the demand. I.e. creative stuff will be cheaper to do, you won't replace artists, but suddenly the dude or dudette who spent hours just tweaking stuff has their own art studio at finger tips to command. They can get so much more done much faster.

The tech is not 100% bullet proof yet but at this pace it will be good enough soon (or probably is for several applications if there was just an UX sugaring targeting specific domain workflow).

Hence, I'm working on http://diffudle.com/ which is a mix of Wheel Of Fortune + Stable Diffusion + Wordle. I Can't figure it out but feels to me like its lacking something.

That's awesome, I love it!

What do the results have to do with "non-technical" people? I am blown away every time I run stable diffusion of the images I get out from it.

And it's still not available in my language on iOS... :( (Norwegian)

what precisely is the market here?