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We Are (Still) Living in the Long Boring
We Are (Still) Living in the Long Boring
The most telling thing about the LLM moment is what this technology is actually good at. LLMs write code, generate images, produce music, summarize documents, draft prose… which is to say, they have achieved mastery over the exact domains that were already, by any sane measure, overprovisioned. Was anyone saying that we didn’t have enough digital writing, images, videos, music, video games, or applications, a few years ago? The core triumph of technological growth is taking scarcity and creating abundance. Well, LLMs create an abundance, that’s for sure. But there was already an abundance of text, online, and an abundance of images, and there’s some insane stat like 24 hours of video gets uploaded to YouTube every second or whatever, and yes, there has been an abundance of code, of programs, of apps. And before we got these fancy new tools to produce more code, there wasn’t a lot of people saying “Gee, what we need is more apps, the app store is too empty.”
The only solutions to our problems - the problems of hunger, of poverty, of injustice, of disillusionment, of alienation - are political solutions. I understand feeling totally defeated by that idea, given what politics is like on this planet. But it’s all we have. We start to build the political structures that can enable humanity to take care of all of us or we drown. There is no fate but what we make.
·freddiedeboer.substack.com·
We Are (Still) Living in the Long Boring
Make humans analog again
Make humans analog again
I liked the idea of having AI help you make your Todo list a "do" list, let it work in the background and then let you know when it's ready. I have a lot of friction where I don't let myself start things because it feels like a decision, and I prefer to stay in the world of full optionality
·bhave.sh·
Make humans analog again
Thoughts on slowing the fuck down
Thoughts on slowing the fuck down
You let them run free, and they are merchants of complexity. They have seen many bad architectural decisions in their training data and throughout their RL training. You have told them to architect your application. Guess what the result is?
And I would like to suggest that slowing the fuck down is the way to go. Give yourself time to think about what you're actually building and why. Give yourself an opportunity to say, fuck no, we don't need this. Set yourself limits on how much code you let the clanker generate per day, in line with your ability to actually review the code.
·mariozechner.at·
Thoughts on slowing the fuck down