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The CEO of Take-Two, the company behind GTA, just said something the entire AI industry doesn't want to hear.
And he said it without being anti-AI.
Strauss Zelnick's argument is precise. AI is built on datasets. Datasets are backward-looking. Creativity is forward-looking. A model trained on everything that already exists cannot, by definition, produce something genuinely unexpected. And all hits, by their very nature, are unexpected.
Asset creation and hit creation are not the same thing. AI is getting very good at the first one. The second one is what actually makes money, builds franchises, and changes culture. Nobody has shown AI can do that yet.
The derivative property problem is real. You can clone GTA with existing technology. You could do it before AI. It would take 3 years and look identical. It still wouldn't sell. Because it isn't GTA. It's a clone of GTA.
And consumers, despite what the industry occasionally pretends, can feel the difference between something genuinely new and something assembled from the residue of things that already worked.
Thousands of mobile games ship every year. 0 to 5 hits get made. The same studios make them every time. The technology to make more games has been commoditized for years. It didn't democratize hit creation. It just flooded the market with more forgettable product.
The Silicon Valley thesis that AI unlocks game creation for everyone is true in the same way that cheap cameras unlocked filmmaking for everyone. They did. And the same 5 studios still make the movies everyone watches.
What Zelnick is saying, without quite saying it, is that the thing AI cannot replicate is taste. The instinct for what hasn't been done yet. The cultural antenna that detects the gap in the market before the data can see it.
Data tells you what people wanted. Hits tell people what they want next.
Those are different jobs.
There's a toxic culture coming out of the AI industry that keeps trying to get us not to think.
The message is everywhere. Donβt read the code, just vibe-code. Donβt try to understand all the text, just let AI summarize it. Donβt bother educating yourself, itβs too late.
Donβt worry about the errors. Trust that everything will be fixed in the next version.
The theme is the same. Donβt think too hard. Just keep swallowing the slop.
I'm fascinated by this level of existential crisis developers seem to be going through.
The uncomfortable truth is nobody needs you to be an artisan coder.
Nobody cares about how you coded your app, or whether you feel an emotional attachment to your craft.
You were always code monkey with a high enough salary to believe that your individualist craftsmanship matters to anyone.
It doesn't matter to anyone but you. Not your employer, not your customer. Nobody cares about how you made the product. Nobody cares about your attachment to your process.
You're experiencing the same as countless other artisans have experienced in the last century.
I'm happy for you. You were starting to believe that you're a demigod amongst mortals.
You're not. A machine is better than you.
Now you're free.
@pmddomingos The real problem: LLMs optimize for fluency, not truth. The fix isn't better prompting - it's treating AI output as a first draft, not final code. Junior devs need review. So do AI agents.
running ai agents in production for 3 months.
wins: 10x on repetitive tasks.
losses: prompts that looked perfect failed on edge cases.
tip: treat your agent like a junior dev. give it context, review everything. works better than magic box.
@steipete@iamlukasniessen@rasbt the ai community in europe is still figuring it out. its different when you actually build in production vs talking about it at conferences.
the ai told me i was lazy. not in those words. it just built the whole feature while i sat there questioning whether i still had a job. welcome to management: you now manage the manager.
unpopular opinion: the best developers are becoming irrelevant not because ai can code, but because ai can read minds. the coder who articulates intent best wins. clarity of thought is the new syntax.
building in saudi arabia: the acceleration programs are real, the market is untapped, and the government is actually helping. if you are a dev looking to build, consider the gulf. saudi is open for business.
@taylorotwell this is why we self-host. the moment you rely on a single cloud provider, their failure becomes yours. running my own infra has its headaches but at least i know exactly what's breaking.
hot take: the best code is the code you don't write. the best prompt is the one that doesn't need a follow-up. efficiency isn't about speed, it's about clarity.
the codebase was broken. customer was frustrated. deadline was in 4 hours.
i had two choices: stay up all night debugging or try something different.
i fired up minimax 2.5 through opencode. first try - it found the root cause in 30 seconds. a race condition i would have missed
i saved 6 hours and $12 in API costs. the customer was happy.
if you're building ai products or coding daily, this is the cheat code. cheaper than claude, faster than most, same quality.
if you wanna try, use my link - you get 10% off, we both win:
https://t.co/90ggMLEAPL