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It's like a heavier commone colde

Or that they hate the project more than using AI

Asolutely. It doesn't have to be an either-or. I use gptel and org mode when I was to be really hands on driving the development. It's a very different mode of interacting with models, and the way newer models are trained to play nice with harnesses makes them very obedient.

https://poyo.co/note/20260202T150723/


Interesting. Tnx.

In case anyone else wondered about using gptel to edit thinking (eg vis Qwen3.6's `preserve thinking`), [1] explains:

> In a multi-turn request, from the time you run `gptel-send`, everything the LLM sends is passed back to it [...during tool calls...] includes multiple reasoning blocks. [...But...] subsequent gptel-send calls read their input from the buffer contents (or active region, etc), so the reasoning blocks in the buffer will not [] be sent as "reasoning_content".

But in org mode, those are apparently `#+being_reasoning` blocks (`gptel-include-reasoning`?), so editable thought might be an easy addition?

A caution, fwiw, that any llms which respond with interleaved content and reasoning blocks, currently only work when not streaming, and fixing that is non-trivial.[also 1]

[1] https://github.com/karthink/gptel/issues/1282


Is this your site? I cannot find an RSS feed for it. I'd like to subscribe.

Cheers mate I added one at https://poyo.co/feed.xml

Would you be willing to share some artists? I'm curious


OMG, some of those are legit good. That said the AI seems minimally guidable. It seems to ignore three majority of instructions in https://suno.com/song/25b16ab7-bfea-451d-abb3-8b52cdd783d0?s... so I guess like most tools, it's fine if you want to get what you're given but not really control it.

Yep agreed. You can guide it only so much and then you're at the mercy of running it a few times to get the closest match

Thank you for sharing.

Definitely not going to be for everyone or even many people, but here's an example:

https://www.youtube.com/watch?v=tpSC3XxhRwQ

This genre barely even exists from human artists AFAIK; Blackmore's Night (https://www.youtube.com/watch?v=U8mcqTScQoY) and Celtic Woman (https://www.youtube.com/watch?v=dhW1mh7U6-U) are the closest human examples I can think of to cross-reference against. I like those artists too but they have very few songs even remotely similar.


The descriptions generated from the prompts are almost always great, but the generated music is always terrible. The sound pallete seems so limited.

A generalized llm prompting library for clojure, and seeing what falls out from that. I wanted something which was fun to use in an interactive way, but not too abstracted.

- Introduction: https://poyo.co/note/20260318T184012/

- Tool loops: https://poyo.co/note/20260329T034500/

- Playing with receipt extraction: https://poyo.co/note/20260323T120532/

- Use with async flow: https://poyo.co/note/20260410T164710/


Yep. Semantically distinct and meaningful chunks wins every time over any kind of windowing or slice and dicing.

Unfortunately, many people are looking for a fire and forget solution over an existing rats nest of documentation debt..


I think it's number 9 in the list


Component library page in the docs gives 404


I don't let it execute emacs lisp itself, but elisp generated in org mode babel blocks which is instantly executable is a fine way to have gptel improve itself.

( See "meta tooling" in https://poyo.co/note/20260202T150723/ )


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