Don't fall into the anti-AI hype
101–110 of 1001 posts
Re: Don't fall into the anti-AI hype
#102Earlier quoted context omitted.
> 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? I don't think it's wrong, but misdirected maybe. What do you that someone can "steal" your open source contributions? I've always released most of my code as "open source"…
"Open Source" does not equal "No terms on how to share and use the code". Granted, there are such licenses but afaik the majority requires attribution at the minimum.
Re: Don't fall into the anti-AI hype
#103Earlier quoted context omitted.
People said the exact same thing about (numbers from memory, might be off): - when Google paid $1 bil for YouTube - when Facebook paid $1 bil for Instagram - when Facebook paid $1 bil for WhatsApp The same thing - these 3 companies make no money, and have no path to making money, and that the price paid was crazy and decoupled from any economics. Yet now, in hindsight, they look like brilliant business decisions.
There’s no comparison to what’s going on now vs those examples. Not even remotely similar.
you lack imagination, human workers are paid globally over $10 trillion dollars.
Re: Don't fall into the anti-AI hype
#104> 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.
Then why open source something in the first place? The entire point is to make it public, for anyone to use however is useful to him or her, and often to publicly collaborate on a project together. If I made something open source, you can train your LLM on it as much as you want. I'm glad my open source work is useful to you.
The entire point isn’t to allow a large corporation to make private projects out of your open source project for many open source licenses. It’s to ensure the works that leverage your code are open source as well. Something AI is completely ignoring using various excuses as to why their specific type of theft is ok.
Re: Don't fall into the anti-AI hype
#105It definitely can.
The innovation that was the open, social web of 20 years ago? still an option, but drowned between closed ad-fueled toxic gardens and drained by AI illegal copy bots.
The innovation that was democracy? Purposely under attack in every single place it still exists today.
Insulin at almost no cost (because it costs next to nothing to produce)? Out of the question for people that live under the regime of pharmaceutical corporations that are not reigned by government, by collective rules.
So, a technology that has a dubious ROI over the energy and water and land consumed, incites illegal activities and suicides, and that is in the process of killing the consumer public IT market for the next 5 years if not more, because one unprofitable company without solid verifiable prospects managed to pass dubious orders with unproven money that lock memory components for unproven data centers... yes, it definitely can be taken back.
Re: Don't fall into the anti-AI hype
#106What I would really urge people to avoid doing is listening to what any tech influencer has to say, including antirez. I really don't care what famous developers think about this technology, and it doesn't influence my own experience of it. People should try out whatever they're comfortable with, and make up their own opinions, instead of listening what anyone else has to say about it. This applies to anything, of course, but it's particularly important for the technology bubble we're currently in.
It's unfortunate that some voices are louder than others in this parasocial web we've built. Those with larger loudspeakers should be conscious of this fact, and moderate their output responsibly. It starts by not telling people what to do.
Re: Don't fall into the anti-AI hype
#107How would we measure the effects of AI coding tool taking over manual coding ? Would we see an increase in the number of GitHub projects ? In the number of stars (given the ai is so good) ? In the number of start up ipos (surely if all your engineers are 1000x engineers thanks to Claude code, we'll have plenty of googles and Amazons to invest in) ? In the price of software (if I can just vibe code everything, than a…
Re: Don't fall into the anti-AI hype
#108Re: Don't fall into the anti-AI hype
#109Earlier quoted context omitted.
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.
> 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... Ah yes, an ecosystem that is fundamentally inherently built on probabilisitic quick sand and even with the "best prompting practices", you still get agents violating the basics of security and committing API keys when they were told no…
CPUs are billions of transistors. sometimes one fails and things still work. “probabilistic quicksand” isn’t the dig you think it is to people who know how this stuff works
Re: Don't fall into the anti-AI hype
#110What 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.