I appreciate your optimism, but this time around the elites have learned their history lessons and we haven’t.
751 karma · joined December 1, 2010
add @acid{1%tsp} to @milk{1%cup} to create acidulated milk
[acid]{lemon juice|apple cider vinegar}
Anyway great spec and language!
In that perfect world where once they knew early on that the consumption of their product would lead to an uninhabitable planet for future generations (because that's what we're facing now), couldn't they have pivoted (slowly) towards true renewables and battery technology? They could have been the leaders instead of the culprits, and positioned for greater long term growth and shareholder value, instead of the relatively short term profits of business as usual.
As long as we're writing science fiction that is... But someone somewhere made a choice to bury the science and keep the status quo, either by action or inaction.
Here's some actual journalism: https://jabberwocking.com/the-price-of-bacon-is-up-8-1/
Search found me this: https://web.archive.org/web/20080125030037/http://deoxy.org/...
and previous discussion! https://news.ycombinator.com/item?id=23500469
1f374 = FORK AND KNIFE
1f634 = SLEEPING FACE
1F4BB = PERSONAL COMPUTER
Eat / Sleep / Code!
I did something naively like this using array indexes of about length 20 vectors on Cloudant (CouchDB) in order to implement a text similarity search, based on something simple like LDA auto tagging and keyword frequency clustering vectors.
I would query based on input text vectorized the same way, and simply offset each element of that input vector by a fixed small value, using those offsets as start and end keys for a couch view query.
I didn’t test this on larger vectors but have always been curious on how far it could go.
Probably the matching algorithms in this project are more accurate, but this naive method worked pretty well for my use case and on a maintenance free DBaaS.
Would love to hear more about concrete usage examples in this area if anybody likes to share - thanks
Edit - found my slightly more detailed blog post about this http://splatcollision.com/page/fast-vector-similarity-querie...
You're right of course, those qualities don't naturally occur remotely.
However, and I know I'm slightly taking your use of "culture" out of context, but "Culture" is often code for any number of implicit biases in a workplace. Known or unknown. If you don't fit in, for whatever reason, can you still not be a productive asset in the corporation?
* Use a Trello board as a free CMS. * Write cloudflare worker code to read cards from the board via Trello APIs and render card content as plain old HTML.
I use labels as tags for the categories, and have specific formatting in the card descriptions. If an attachment is a YouTube URL, it renders the video as an embed, otherwise it uses image attachments as post images. Card covers render as the link thumbnails on the list pages.
Powers our family YouTube blog: https://thunderiron.family
(Check it out if you like fun and delicious Keto recipes)
An earlier version of this stack powers my personal dev blog, and the approach is written up here:
https://splatcollision.com/page/meta-post
What is particularly cool is that I can post things right from my phone using the Trello apps!
FastAPI feels like a damn cheat code, it's so well designed with the Pydantic models as input validation, the flexibility, the built in OpenAPI docs, on and on.
Love it!
Writers are less likely to care about what symbol means "bulleted list item", as long as anything that makes sense for it, just works.
It's a mistake to think of Markdown as a programming language, or a "formal grammar".
That being said, if it works for you go for it...