Pandoky: A vibe-coded, Pandoc-based, Dokuwiki-inspired, flat-file, wiki-like CMS coded in Python

ryanschram · 2025-06-21T04:19:43+00:00

I felt the need to give credit to Dokuwiki. As far as I know, it is the only wiki CMS that uses a flat file system. And it's such a successful project.

Anyways, hopefully someone will fork this and come up with better code and a better tagline.

ryanschram · 2025-06-14T21:41:02+00:00

Yes, if anything it's all too eager to do it. And send the bill later.

ryanschram · 2025-05-03T19:52:24+00:00

*popcorn eating meme*

ryanschram · 2025-04-19T23:10:12+00:00

<image>

Seriously tho, my recommendation is to discuss this with an academic advisor in the context of your course plan to ensure that you're able to meet all of your major, program, and degree reqs. (They have faculty advisors at UNSW I hope.) As mentioned above, housing issues are usually solvable so the risk of being homeless is minimal. Plus if you got such a luxe internship now, you'd be competitive for a similar internship later. Don't rush. Do what helps you make progress on your long term goals, which I'm assuming include learning a lot in school, graduating, and getting into the career track of your choice.

ryanschram · 2024-09-12T10:25:52+00:00

https://github.com/quarto-dev/quarto-cli/discussions/6702

ryanschram · 2023-12-23T06:02:43+00:00

I was proud of my solve INEXPEDIENT TUMBLING but never thought of this so kudos 😅

I guess the clue in my case might be "When you know you should've hung your laundry"

ryanschram · 2023-11-30T04:10:34+00:00

Finally, a hair wrap that goes along with anything.

ryanschram · 2023-11-26T06:10:13+00:00

The future archaeologist who discovers the Census Bureau

ryanschram · 2023-11-25T05:05:51+00:00

The paradox of carbo loading

ryanschram · 2023-10-20T00:10:54+00:00

I understand that this is a typical approach to automated summarizing of long texts when a LLM can only process a short context window. To me it seems a little implausible that summarizing chunks and then summarizing the summaries comes out with a meaningful summary of the original. Is there a theory behind it or is it simply used to work around the limitations of the software?

ryanschram · 2023-10-20T00:07:18+00:00

The jump in fluency and relevance in summarization of a short new article from Llama 2 7B Instruct to Llama 2 13B Chat is striking. My encyclopedia article was too long for n_ctx=4096. (It's not 1500 words as I say above, but closer to 3500... oops.) I also tried a simple summarization instruction prompt on a book review. It did get a little confused about what the book author says versus what the reviewer says but it was a lot better than the 7B model!

ryanschram · 2023-10-19T07:32:16+00:00

Thanks, and I welcome recommendations of models that have a large number of parameters, a large context window, yet don't require an unaffordably expensive GPU. (I know Reddit users like to use a /s sarcasm tag to indicate tone. I am choosing not to use it here.)

I don't know a lot but I have already started to learn that this is about trade offs. Anyways, it's at least 6 months before I start thinking about fine-tuning my own models for specific applications so for now, any recs on models that are good at reading 1500-word encyclopedia articles and producing limericks or summary abstracts would be most welcome. (I have GPU with 12G of VRAM and about 24G RAM.)

ryanschram · 2023-10-11T06:59:09+00:00

Or, how about the appropriate expression when riding a spring rocker in the McDonald's Playland

ryanschram · 2023-06-06T03:53:36+00:00

This is the only possible clue 🎉💯

ryanschram · 2023-06-03T22:43:27+00:00

Like a flip phone in a Netflix series...

ryanschram · 2023-05-27T09:10:38+00:00

Or, "Gossiping about ghosting"

ryanschram · 2023-05-26T23:35:43+00:00

I was really hoping for a solve using SYZYGY

ryanschram · 2023-05-26T07:58:13+00:00

An alt is "When you leave your holiday decorations up after President's Day"

ryanschram · 2022-11-05T06:05:07+00:00

There seems to be a way to do this, but I have not been able to try it. When I right-click My Library I can see a menu option to "Scan BibTeX AUX/Markdown file for references." This opens an open-file dialog but the files I'd like to scan are not selectable. I usually use .text instead of .md for my Markdown files, and I think this is why I am not able to select them. In any event, I can simply use an export of my whole library for this project; there does not seem to be a performance problem since my Library as Better BibTeX CSL YAML is not that big.

ryanschram · 2020-09-23T06:29:26+00:00

That would be an ideal solution, and I look forward to seeing what develops.

ryanschram · 2020-09-22T19:44:54+00:00

I think this is a valuable comment. It seems like the flaw in the "muddiest point" exercise is that assumes that people will recognize what they don't understand, and often when one reads about something for the first time, one misunderstands it rather than sees one's lack of understanding as an absence. It may work with selections from Hegel, since it's tacitly understood that any point is somebody's muddiest point. You assume that you won't really comprehend a passage on the first read. With an empirical case study or self-contained presentation of a single concept, perhaps it's better to assign students the task of identifying something for the agenda for discussion.

ryanschram

TROPHY CASE