I've tried a few Obsidian AI plugins but none really stuck, so I did what every sane person would do and wrote « repomix for Obsidian »
Introducing `obsidian-context`
github.com/martinklepsc...
From what I hear enterprise suppliers are super under pressure to deliver the magical AI efficiency gains everyone has been talking about 😅
you gotta admire the raw-ness of @antirez.bsky.social youtube channel, lots of interesting stuff and mostly "just putting it out here" vibes 👌
YOU CAN USE SVG! Its nuts, like it supports color scheme preferences, scales nicely etc
I’ve fully come around to file system based routing. yes it’s weird to have some of these [slug] filenames but wow, it’s just so much less boring glueing stuff together
What for? :)
TOS as in terms of service? Can you expand on that?
i think the thing about JS that bothers me the most is the laizzes-faire control flow, return anywhere, crazy syntax constructs for if expressions, …
if it only was s-expressions 🥲
This! I had an important meeting an hour ago and unfortunately was not aware - transcript lost. 🥲
its becoming annoyingly commonplace that model choosers switch to 'auto' and then don't even clearly label what model was used and why 🥲
like how am I supposed to build ~intuition~
probably the easiest $12 I spent in a while.
simple, plain analytics for all my sites by @drizzle.team at $12/year!
The thing with RLS is, you only really need it if you want to connect clients to the DB(?), but with Astro on the server that need kind of disappeared for me. A few actions with server-side validation is all it takes.
I've been using this stack for a project and it feels so much lighter than Supabase. Love Supabase but RLS and auth just try to solve for problems I don't have.
- DB: Neon
- Auth: better-auth
- Frontend: @astro.build
- Deploy: @fly.io
- Jobs: Trigger
today I was at a restaurant and ordered MCP instead of MCC... that's what this has done to me
⋆ * ⋆ ✦ ✧
models <> intelligence ⋆ *
✧ context <> knowledge ✦
* ⋆ ✧ * ⋆ ⋆ *
Ah yes! I think I must’ve read it somewhere else but that was probably the source then!
Pricing these models high will allow OpenAI to deprecate those models without much backlash in the case that no use cases justifying the compute requirements are found.
All this makes it even more fascinating that Sonnet 3.5 is still everyone's darling when it comes to coding
Can't remember where I read this but thought it was an interesting take:
o1-pro, gpt-4.5 and other expensive models are effectively a "drop" to see if the market can find emergent, useful behaviors. Presumably because they haven't found them internally yet.
in a world of abundant creation, focus is everything
must not forget
Could not quite make out a difference, but I'm on a particularly bad connection right now 🥲
it's criminal you can not export a cursor chat history
I’ve also run a small experiment with Mistral’s latest OCR model after reading Simon Willison’s blog about it. Results were not very impressive unfortunately: Several words were garbled, “Projektkategorie” turned into “Projektbiologie”, “Baubeginn” into “Boubejims” I found these interesting because the PDF does have selectable text so these errors were unexpected Here are permalinks to input and output.
A bit late to this but tried with a use case I had a while ago and was somehow expecting greatness but instead was surprised to find that it garbled quite a few words, “Projektkategorie” turned into “Projektbiologie”, “Baubeginn” into “Boubejims”
martinklepsch.org/posts/pdf-to...
Well meaning feedback: I find the AI generated OG image doesn’t do the effort that went into this justice - you have great branding, use it :)
really enjoying your writing! it hits the sweet spot of having great substance and being entertaining at the same time
really enjoying @ztellman.ideolalia.com's recent essays on explaining software, first the sudoku saga, now another great read
view transitions make this a one liner 🥳
believe it or not, i need this!
