Tim Kellogg writes about AI and LLM behavior, agents and protocols like MCP, and general software topics such as regex and HTTP/2.
HN commenters cite his experiments on LLM behavior, such as whether models get bored, as evidence that AI shows emergent personality.
A toddler can learn by trial and error mid-process. An LLM using autoregressive inference can only compound errors. The LLDM model paper was posted elsewhere, but: https://arxiv.org/pdf/2502.09992
It basically uses the image generation approach of progressively refining the entire thing at once, but applied to text. It can self-correct mid-process.
The blog post where I found it originally that goes into more detail and raises some issues with it: https://timkellogg.me/blog/2025/02/17/diffusion
I’m definitely not in the “ai is sentient” camp, but it obviously has personality and emergent behaviours including when left to its own devices. There have been various experiments on this e.g. https://timkellogg.me/blog/2025/09/27/boredom
I made fossil for this purpose. Sometimes the good stuff is regular social posts, sometimes it’s links. The only way to separate the wheat from the chaff is AI (imo)
https://timkellogg.me/blog/2024/01/03/birb
Simon and Tim have a good thread about this on Bsky: https://bsky.app/profile/timkellogg.me/post/3m4ridhi3ps25
Tim also wrote about this topic: https://timkellogg.me/blog/2025/11/03/colors
https://timkellogg.me/blog/2024/06/26/politics-analysis
Any luck with the Schuetzenberger thm?
Will get back to aristotle when more bw thanks!
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https://timkellogg.me/blog/2022/04/11/three-plates