The Rise of Whatever

Broadly agreed with all the points outlined in there.

But for me the biggest issue with all this — that I don't see covered in here, or maybe just a little bit in passing — is what all of this is doing to beginners, and the learning pipeline.

> There are people I once respected who, apparently, don’t actually enjoy doing the thing. They would like to describe what they want and receive Whatever — some beige sludge that vaguely resembles it. That isn’t programming, though.

> I glimpsed someone on Twitter a few days ago, also scoffing at the idea that anyone would decide not to use the Whatever machine. I can’t remember exactly what they said, but it was something like: “I created a whole album, complete with album art, in 3.5 hours. Why wouldn’t I use the make it easier machine?”

When you're a beginner, it's totally normal to not really want to put in the hard work. You try drawing a picture, and it sucks. You try playing the guitar, and you can't even get simple notes right. Of course a machine where you can just say "a picture in the style of Pokémon, but of my cat" and get a perfect result out is much more tempting to a 12 year old kid than the prospect of having to grind for 5 years before being kind of good.

But up until now, you had no choice and to keep making crappy pictures and playing crappy songs until you actually start to develop a taste for the effort, and a few years later you find yourself actually pretty darn competent at the thing. That's a pretty virtuous cycle.

I shudder to think where we'll be if the corporate-media machine keeps hammering the message "you don't have to bother learning how to draw, drawing is hard, just get ChatGPT to draw pictures for you" to young people for years to come.

Agreed!

The only silver lining I can see is that a new perspective may be forced on how well or badly we’ve facilitated learning, usability, generally navigating pain points and maybe even all the dusty presumptions around the education / vocational / professional-development pipeline.

Before, demand for employment/salary pushed people through. Now, if actual and reliable understanding, expertise and quality is desirable, maybe paying attention to how well the broader system cultivates and can harness these attributes can be of value.

Intuitively though, my feeling is that we’re in some cultural turbulence, likely of a truly historical magnitude, in which nothing can be taken for granted and some “battles” were likely lost long ago when we started down this modern-computing path.

To be fair, LLMs are just the most recent step in a long road of doing the same thing.

At any point of progress in history you can look backwards and forwards and the world is different.

Before tractors a man with an ox could plough x field in y time. After tractors he can plough much larger areas. The nature of farming changes. (Fewer people needed to farm more land. )

The car arrives, horses leave. Computers arrive, the typing pool goes away. Typing was a skill, now everyone does it and spell checkers hide imperfections.

So yeah LLMs make "drawing easier". Which means just that. Is that good or bad? Well I can't draw the old fashioned way so for me, good.

Cooking used to be hard. Today cooking is easy, and very accessible. More importantly good food (cooked at home or elsewhere) is accessible to a much higher % of the population. Preparing the evening meal no longer starts with "pluck 2 chickens" and grinding a kilo of dried corn.

So yeah, LLMs are here. And yes things will change. Some old jobs will become obsolete. Some new ones will appear. This is normal, it's been happening forever.

The difference between GenAI and your examples is a theft component. They stole our data - your data - and used it to build a machine that diverts wealth to the rich. The only equitable way for GenAI to move forward is if we all own a share of it, since it would not exist in its current form without our data. GenAI should be a Universal Basic Asset.

I appreciate the idealism but your argument has some flaws.

Firstly the "theft component" isn't exactly new. There have always been rich and poor.

Secondly everyone is standing on the shoulders of giants. The Beatles were influenced by the works of others. Paul and John learned to write by mimicking other writers.

That code you right is the pinicle of endless work dine by others. By Ada Lovelace, and Charles Babbage, and Alan Turing and Brian Kernigan and Denis Ritchie and Doug Englebart and thousands and thousands more.

By your logic the entire output of all industries for all foreseeable generations should be universally owned. [1]

But that's not the direction we have built society on. Rather society has evolved in the US to reward those who create value out of the common space. The oil in Texas doesn't belong to all Texans, it doesn't belong to the pump maker, it belongs to the company that pumps the oil.

Equally there's no such thing as 'your data'. It's your choice to publish or not. Information cannot be 'owned'. Works can be copyrighted, but frankly you have a bigger argument on that front going after Google (and Google Books, not to mention the Internet Archive) than AI. AI may train on data you produced, but it does not copy it.

[1] I'm actually for a basic income model, we don't need everyone working all day like it's 1900 anymore. That means more taxes on companies and the ultra wealthy. Apparently voters disagree as they continue to vote for people who prefer the opposite.