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Don't fall into the anti-AI hype

antirez.com

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Re: Don't fall into the anti-AI hype

#31

What I don't understand about this whole "get on board the AI train or get left behind" narrative, what advantage does an early adopter have for AI tools? The way I see it, I can just start using AI once they get good enough for my type of work. Until then I'm continuing to learn instead of letting my brain atrophy.

I've used cursor and claude code both daily[0] within a month of their releases - i'm learning something new on how to work with and apply the tools almost every day.

I don't think it's a coincidence that some of the best developers[1] are using these tools and some openly advocating for them because it still requires core skills to get the most out of them

I can honestly say that building end-to-end products with claude code has made me a better developer, product designer, tester, code reviewer, systems architect, project manager, sysadmin etc. I've learned more in the past ~year than I ever have in my career.

[0] abandoned cursor late last year

[1] see Linus using antigravity, antirez in OP, Jared at bun, Charlie at uv/ruff, mitushiko, simonw et al

Re: Don't fall into the anti-AI hype

#32
post #2

> As a programmer, I want to write more open source than ever, now. I want to write less, just knowing that LLM models are going to be trained on my code is making me feel more strongly than ever that my open source contributions will simply be stolen. Am I wrong to feel this? Is anyone else concerned about this? We've already seen some pretty strong evidence of this with Tailwind.

I feel similarly for a different reason. I put my code out there, licensed under the GPL. It is now, through a layer of indirection, being used to construct products that are not under the GPL. That's not what I signed up for. I know the GPL didn't have a specific clause for AI, and the jury is still out on this specific case (how similar is it to a human doing the same thing?), but I like to imagine, had it been mad…

Yep, this is my take as well. It's not that open source is being stolen as such, as if you abide by an open source license you aren't stealing anything, it's that the licenses are being completely ignored for the profit of a few massive corporations.

Re: Don't fall into the anti-AI hype

#33
post #2

> As a programmer, I want to write more open source than ever, now. I want to write less, just knowing that LLM models are going to be trained on my code is making me feel more strongly than ever that my open source contributions will simply be stolen. Am I wrong to feel this? Is anyone else concerned about this? We've already seen some pretty strong evidence of this with Tailwind.

I don't understand the mindset because I began my foray into open source exactly because I wanted to distribute and share my code.

in other words, i've never been in the position that I felt my charitable givings anywhere were ever stolen.

Some people write code and put it out there without caveats. Some people jump into open source to be license warriors. Not me. I just write code and share it. If youre a person, great. if you're a machine then I suppose that's okay too -- I don't want to play musical chairs with licenses all day just to throw some code out there, and I don't particularly care if someone more clever than myself uses it to generate a profit.

Re: Don't fall into the anti-AI hype

#34

What I don't understand about this whole "get on board the AI train or get left behind" narrative, what advantage does an early adopter have for AI tools? The way I see it, I can just start using AI once they get good enough for my type of work. Until then I'm continuing to learn instead of letting my brain atrophy.

AI development is about planning, orchestration and high throughput validation. Those skills won't go away, the quality floor of model output will just rise over time.

Re: Don't fall into the anti-AI hype

#35

"Die a hero or live long enough to see yourself become the villain" AI is both a near-perfect propaganda machine and, in the programming front, a self-fulfilling prophecy: yes, AI will be better at coding than human. Mostly because humans are made worse by using AI.

It's a zero sum game. AI cannot innovate, it can only predictively generate code based on what it's already seen. If we get to a point where new code is mostly or only written by AI, nothing new emerges. No new libraries, no new techniques, no new approaches. Fewer and fewer real developers means less and less new code.

Re: Don't fall into the anti-AI hype

#36
post #6

The “anti-AU hype” phrase oversimplifies what’s playing out at the moment. On the tech side, while things are a bit rough around the edges still the tech is very useful and isn’t going away. I honestly don’t see much disagreement there. The concern mostly comes from the business side… that for all the usefulness on the tech there is no clearly viable path that financially supports everything that’s going on. It’s a n…

In the late 2000s i remember that "nobody is willing to pay for things on the Internet" was a common trope. I think it'll culturally take a while before businesses and people understand what they are willing to pay for. For example if you are a large business and you pay xxxxx-xxxxxx per year per developer, but are only willing to pay xxx per year in AI tooling, something's out of proportion.

Re: Don't fall into the anti-AI hype

#37
> Whatever you believe about what the Right Thing should be, you can't control it by refusing what is happening right now. Skipping AI is not going to help you or your career. Think about it. Test these new tools, with care, with weeks of work, not in a five minutes test where you can just reinforce your own beliefs.

This is the advice I've been giving my friends and coworkers as well for a while now. Forget the hype, just take time to test them from time to time. See where it's at. And "prepare" for what's to come, as best you can.

Another thing to consider. If you casually look into it by just reading about it, be aware that almost everything you read in "mainstream" places has been wrong in 2025. The people covering this, writing about this, producing content on this have different goals in this era. They need hits, likes, shares and reach. They don't get that with accurate reporting. And, sadly, negativity sells. It is what it is.

THe only way to get an accurate picture is to try them yourself. The earlier you do that, the better you'll be. And a note on signals: right now, a "positive" signal is more valuable for you than many "negative" ones. Read those and try to understand the what, if not the how. "I did this with cc" is much more valuable today than "x still doesn't do y reliably".

Re: Don't fall into the anti-AI hype

#38

What I don't understand about this whole "get on board the AI train or get left behind" narrative, what advantage does an early adopter have for AI tools? The way I see it, I can just start using AI once they get good enough for my type of work. Until then I'm continuing to learn instead of letting my brain atrophy.

An ecosystem is being built around AI : Best prompting practices, mcps, skills, IDE integration, how to build a feedback loop so that LLM can test its output alone, plug to the outside world with browser extensions, etc...

For now i think people can still catch up quickly, but at the end of 2026 it's probably going to be a different story.

Re: Don't fall into the anti-AI hype

#39
post #2

> As a programmer, I want to write more open source than ever, now. I want to write less, just knowing that LLM models are going to be trained on my code is making me feel more strongly than ever that my open source contributions will simply be stolen. Am I wrong to feel this? Is anyone else concerned about this? We've already seen some pretty strong evidence of this with Tailwind.

I want to write less, because quite frankly I get zero satisfaction from having an LLM churn out code for me, in the same way that Vincent van Gogh would likely derive no joy from using Nano Banana to create a painting.

And sure, I could stubbornly refuse to use an LLM and write the code myself. But after getting used to LLM-assisted coding, particularly recent models, writing code by hand feels extremely tedious now.

Re: Don't fall into the anti-AI hype

#40
post #2

> As a programmer, I want to write more open source than ever, now. I want to write less, just knowing that LLM models are going to be trained on my code is making me feel more strongly than ever that my open source contributions will simply be stolen. Am I wrong to feel this? Is anyone else concerned about this? We've already seen some pretty strong evidence of this with Tailwind.

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