I think many industries are going to quickly realise the limited utility of GenAI and the bubble will pop quite quickly when that happens.

Story time:

I'm a software developer for a large, multinational company. Yesterday, I needed to update the Knex migrations for the project I'm assigned to. We needed three new PostgreSQL tables, with several foreign key constraints. I added the migration to our existing migrations in a backend plugin we're building out.

I use Copilot for developers regularly. It was helpful in this case, generating the table migrations automatically. Of course, it hallucinated a few methods Knex doesn't have, but I'm used to things like that, and easily corrected them. Once I was done testing, I created a pull request to merge the commit in my working branch with the main branch in git.

Now, look at what I just wrote. If you're not a developer, you probably have no idea what "Knex" or "PostgreSQL" mean. You probably recognize the words "foreign," "key," and "constraints," but you haven't got a clue why I'm using them in that order or what I'm referring to. It likely looks like I'm using the word "migrations" completely incorrectly. You don't know what it means for "Knex" to have "methods." Words like "git," "pull request," and "commit" just read like gibberish to you.

You wouldn't know how to ask Copilot to do anything. You wouldn't know where to place any results you manage to get from it. If your boss came to you and said, "here's this feature requirement, make it happen," you would fail. You wouldn't know why, either. Hell, you wouldn't even know what it is your boss is trying to accomplish. You could spend the next six months trying to figure it all out, and maybe you'd succeed, but probably not. Because you aren't a developer.

I'm a developer. All of what I wrote above makes perfect sense to me, and it's one of the simplest tasks I could tackle. Took about fifteen minutes to accomplish, from creating the migration file to getting the PR ready to merge.

I've been lambasted for insisting that large language models aren't going to replace actual professionals because they're not capable of joined-up thinking, meta-cognition, or creativity. I get told they'll be able to do all of that any day now, and my boss will be able to fire all of his employees and replace them with an MBA - or worse, do the work himself. Depending on the attitudes of who I'm talking to, this is either a catastrophe or the greatest thing since sliced bread.

It's neither, because that's not going to happen. Look at the story above, and tell me you could do the same thing with no training or understanding, because ChatGPT could do it all. You know that's bullshit. It can't. LLMs are useful tools for people like me, and that's it. It's another tool in the toolbox, like IntelliSense and linters - two more terms you don't know if you're not a developer.

The bloom is beginning to come off the rose. Businesses are gradually realizing the pie-in-the-sky promises of LLM boosters are bogus.

These are just new tools to create art, always have been and all the moral panic over making all creatives redundant and subsequent investor salivation and hype were never consistent with reality.

After all the people who will be able to make the most use of them are already those who know a thing or two about their craft.

Anytime you look under the hood of something billed as “completely AI generated” media, you find a team of really talented, creative people. Music, books, short films, and of course games. It's the same story time and again, and the story is marketing.

Creative people using AI as a tool can do creative things.

I wonder if they will get banned from gamedev events like Kenney is.

They've clearly never played snake 2

Wait, the really are named "Keywords"?

Art is media that conveys emotions and ideas from one human to another. Unless a machine has emotions of its own, it cannot make art. It is just making media.