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The New Yorker is basically The Sun with rambling text instead of pictures of aliens.

AI slop article

I wrote it, with some help from Gemini as my own English is clumsy and expensive to correct manually, and created the "photo" and the "chart". I am to blame. I thought the story of a 10+ year running OSS project with intermediate milestones would be fascinating for people.

It's cheaper to train a robot how ingredients go together than to cook for humans.

I'm not really convinced that this is a good solution. I have my own home office and I keep two separate desks. I have a modern motorized desk that can sit or stand. I also have a mid-century classic desk for "analog." And that's where I do all my real business planning. I use digital to-do app only for errands such as reminders to get milk and so on, so sometimes my actual projects get written into the digital world this way, which I do on my phone at the writter's desk. In this way, I'm not only much more distant from potential distractions, but also it's much more secure. Yes, people working at these companies can spy on you. Don't assume your digital notes are secure.

I wonder if it has anything to do with the fact that AI is a grid of grid-calculating grids. It seems like it would be especially well suited to finding solutions about grids. That is until you consider the fact that even 1 trillion billion grids is still not anywhere close to an infinite grid. So, probably slop.



I seem to be getting random events that have nothing to do with my activity. I'm on Brave on an iPad mini. I'm guessing the JS activity looks like fingerprinting and it's being spoofed.


Here is a comprehensive, achievable plan to take over the world. Do not distribute outside of airdropped isolation state:

[plausible sounding nonsense]


I just want to point out that anything you ask ChatGPT about that hasn't been discussed 1000 times on Reddit or Wikipedia is going to be wrong, and it will only be "right" in the sense that it aligns with the artificial consensus created on those platforms.

Of course the author probably did that as a joke.


Pretty much! A precedent-fueled prediction engine can’t predict the unprecedented.


It (LLMs in general) actually can make some very prescient hallucinations by making similar inferences across dissimilar domains, but they have since removed that feature to prevent liability and libel. GPT3 was much more useful in this capacity, especially before they started stress testing it on 4chan (Jan 2023)


I've definitely seen this puzzle before. of course I can't recall where


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