Wow, that's describing it really well. I work for a guy who basically started a company by trying to vibe code his ideas into existence (late 2023 LLMs) and realized he would need actual developers to get anywhere.

It was excruciating trying to make him answer questions to get proper domain modelling going since LLM use had made him think of software as being wished into existence in a "declarative" way.

Not to mention the heavy contrast my persistent questioning had to a background of sycophantic yes-man claudespeak.

This sounds like a completely different scenario. How many users who post LLM written blog posts are tuning the weights of their LLMs on a large corpus of their own original writing? I wouldn't doubt that this produces far more convincing and pleasant output than the disgusting slop from out of the box Claude.

Of course, as opposed to the objective minded "there is no conspiracy ever, when it is repeatedly demonstrated that corporations will poison, experiment on and destroy human lives if it favors their bottom line and they think they can get away with it, this is not to be interpreted as a pattern or structural issue, it's just coincidences and 'bad' individual actors all the way down".

https://www.abc.net.au/news/2009-07-31/pfizer-pays-us75m-ove...

https://www.iatp.org/sites/default/files/No_More_Bhopals_Env...

https://www.bmj.com/content/376/bmj.o681

Will it effectively create an internal model describing world objects and how they interact with each other, persist that so it doesn't get lost when it's context window gets filled up, then after it has sufficiently complete knowledge of the fundamentals after the tutorial levels successfully apply that model by making plans to solve the puzzles and execute them by clicking the right coordinates tied to the visual feedback?

I highly doubt it. To me it often just looks like people are defining narrow search spaces (e.g by having all of the task complexity pre-digested by the harness design), pointing a brute force engine at them, spending 20 thousand dollars in compute and then saying "hey look, it can do anything!".

Anyone that can read English could do that though.

Raw "leetcode" algorithm intuition and database modelling/SQL are still largely intact for me because I never trust LLMs for those and want to actually understand what I'm building. But it's scary to think how easy it is to have your skills eroded and how quickly you become dependent on these tools.

Other plant milks are 3x the price of the cow one because of economies of scale and subsidies. It's all a big joke.

What we've seen is new renewable capacity carving out a tiny sliver in the energy mix, sometimes even being able to meet all new demand in the installation period, but we still have all the existing demand running on the old stack.

https://ourworldindata.org/energy-mix

This book talks about this: https://www.amazon.com/More-All-Consuming-History-Energy/dp/...

There's also the fact that global society is not a real time strategy game being managed by a well intentioned min-maxing actor driving compounding efficiency gains in resource usage. It's a free for all where everyone is paranoid that they'll be destroyed if they don't use every dirty trick they can (on a global geopolitical level), entrenched oligarchies permanently lobbying for their inefficient, destructive structures to continue (on a domestic economy level) and so on.

It's not looking good overall.

About a month ago I pirated an Argentinian movie and the only subtitles available in my language were out of sync and at a different speed/framerate so adjusting for delays wasn't enough. I was unsuccessful at fixing it with VLC and every other "online tool" I could find.

Knowing a srt file is just text with timestamps I vibe coded a python script to take in sample times throughout the movies so it could recalculate the rate and shifts and replace them in the file. It worked on the first try using only the deepseek web chat interface and my terminal.

Without AI I theoretically could have sat down with a pen and paper to figure out the math adjustment, then looked up python input handling syntax which I already forgot, typed something out and then hammered it into shape through trial and error over a few hours. But the friction and time investment of doing that would have been so great I would have just given up on watching the movie instead.

Plus, what a shocker it is that a "hacker news" website would have many people with an affinity towards open source technology they can fiddle with and have autonomy over, and a distaste for tech monopolies trying to control and limit access to these tools.

https://www.theguardian.com/world/2026/jun/20/mona-khalil-tu...

Also, oligopolies aren't famous for being strongly bound by market forces, especially when their decision makers are non ironically being treated as if they were heads of state.

https://www.nytimes.com/2026/06/17/world/europe/g7-summit-ai...

Fracking

Social media infinite scrolling and targeted ads

Short form videos (tik tok, YouTube shorts, instagram reels)

Coming soon: Deep sea mining

Some of these are not great technologies, you might say. Well if they're impactful enough to turn everyone I love into a phone zombie and make the political landscape violent and insane then that's enough.