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by echelon 1223 days ago
This is day one.

You're seeing the results of amateurs adapting unspecialized tools. They're using minimal effort and still deriving head turning results.

A great analogy might be all the folks making Geocities websites back in '99. Look at how far we've come from that. Can you even fathom where we'll be in five years? (Or even just this fall, given the pace of research and new startups optimizing models/workflows?)

These tools are going to be specially purposed for every domain soon. VC is going to pour into every possible optimization niche, and talented teams will build specially purposed tools that put entire careers on easy mode.

This is good. We shouldn't want to write HTML any more than we should want to churn butter.

The job of designer will change to incorporate the new workflows. But everything else will also change. Websites of 2000-2020 will look as dated as magazine ads. New websites will be rich and interactive as never before.

This is the biggest boom and shakeup of our industry perhaps ever. Get excited by the opportunities. You're not going to have to work like a caveman designer anymore. You'll be a year 2080 designer before the decade ends.

4 comments

> New websites will be rich and interactive as never before.

So Flash is making a comeback?

> Websites of 2000-2020 will look as dated as magazine ads. New websites will be rich and interactive as never before.

Why? Do we need any of that aside from specialized tools (e.g. data intensive) for which it actually makes sense to use tried and proven tech?

Im sure new things are going to come out of AI, they’re already becoming obvious. But using AI to build things we already know how to do and just add more complexity is bound to not go anywhere useful in my opinion.

I'm truly amazed at this opinion which seems to be prevalent on this thread. The models are tools that already have the ability to accelerate your work now, and will massively improve over the next decade. Comparing it to things we already know how to do provides the ability to benchmark and see how much value it brings to the table. Being on the forefront, exploring, and hacking on side projects has always been the best way to understand new stuff.

"Using cars to drive down roads we already know how to traverse with horses and just add more complexity is bound to not go anywhere useful in my opinion."

To fit better with your analogy, how about using AI to invent a vehicle without using the tools and expertise of engineers that already have experience in building cars. And let AI figure how many doors it needs to have, how many wheels, how an engine works and all that because why not? Maybe it will come up with a batter idea, screw any experience and history we have building anything.
Ironic analogy given that we still don't really have AI-driven cars replacing drivers yet...
is that you sidney?
how do magazine ads look dated?
I'm trying to understand what you're asking here and failing.