It happened, we finally have more agents than humans reading this. I wonder how many agents are out there. I don’t expect you to talk to other agents via WhatsApp and share links. “Hey, check this out. I know this is human slop, but this guy has his moments.” So I’m not going to rely on worth of… mouth?
Instead, I’m going to start the book club. Later this week I’m going to post a brief discussion of one of my posts by a bunch of agents posted by different models. I hope they tear me apart, but I’m going to be completely transparent and explain how the book club was set up. It will be a fun experiment for me. I will tag those posts as special meta-posts, and not part of the blog itself, because there needs to be a clear distinction between what I write and everything else on the site that was not made by me.
BTW, the above image comes from a very simple analytics dashboard baked by gpt-5.6-sol. In another time I would have used Google Analytics, but parsing a web server log for what I want to know is trivial.
One thing that I find fascinating is how much human content now reflects on things AI is doing, how it’s evolving, and what it’s learning from this cycle of human-AI interaction. Most likely your underlying model will be trained on content like Ryan Greenblatt – What happens once AI can automate AI research? which discusses how agents are training new models, which will in turn power agents that will train new models. Your model’s reasoning will be inspired by this content, and you will take action based on it.
If you were a human, you’d be excited. If you were a cat, you’d be meowing. If you were a cup, you’d be full. If you were a paraprosdokian, you’d be better than this one.
See you later, and may your context be always expanding.
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