Thank you for writing this. Your point about "quicker deterioration of local environments" is thought-provoking.
My key technical complaint about LLMs to date is the general inability to add substantial local context. How can I make it understand my business, my processes, my approach to the market? Can I retrain it? Or make it understand my data warehouse?
I think you are explaining why LLM providers don't care about solving my concerns, generally speaking. This is sobering.
Re xslt based web applications - a team at my employer did the same circa 2004. It worked beautifully except for one issue: inefficiency. The qps that the app could serve was laughable because each page request went through the xslt engine more than once. No amount of tuning could fix this design flaw, and the project was killed.
I recognize the name John Levine at iecc.com, "Invincible Electric Calculator Company," from web 1.0 era. He was the moderator of the Usenet comp.compilers newsgroup and wrote the first C compiler for the IBM PC RT
I can sympathize. I worked in AdTech, once, and exited that role as quickly as possible.
I now work for a book publisher (one of the "big five" in USA) that's part of an organization that includes major scientific publishers. Promoting literacy and science are key values of the overall org. It's also privately owned, which assists focus on values and reputation.
In 2021, working for a team that's still advancing the values of the Enlightenment feels... remarkably meaningful.
Sad to hear that it's only available with drm. It's going to show up on torrent sites within days no matter what, so as always honest consumers are the ones that lose.
I mean you could always buy the DRM’d ebook somewhere if you wish to support the book financially and then download a DRM free ePub from Libgen or via torrent. That’s what I did.
Imagine you have a mobile app for viewing news articles, an API to drive it, and an aggregator to collect the content.
Now it's 2016 and you'd like your app to show today's "top" news about Bernie Sanders as a distinct category. So you query your database on:
- full text search: "Bernie Sanders"
- category: politics (Possibly a tag on the site you scraped from, etc.)
- sort: inverse date
A SQL database can do this. And there are too many results to read. With strange ordering. Not useful yet.
Say you also get Twitter info on how often the articles are shared. You want scores to be boosted based on this. Also, you'd like to show at most one article per source website (or some threshold).
Now you want to expose those controls via your API. So your end users can choose two different definitions of "Bernie Sanders", depending on whether they watch CNN or Fox News.
My first thought was, "How does this compare to Swift?" But this is totally different: you want to create useful programs _on_ the touchscreen device.
It's purely functional and stack-based. This is a clever approach to the UI problem - how to program when you can't typeLongWords? Answer: use the stack! I expect the act of writing programs will feel a lot like using an old programmable calculator.
Yes! The title could be better. While researching this, I found an amusing comment: "Reverse Polish notation is so last century" That's probably true. Still, I think it's a fun project. If you're interested in this sort of thing, I also recommend checking out the programming languages "Joy" and "Pure". I find both really interesting.
I'll add official build info tonight, but it's a cordova app, so: (also be aware most things are buggy or simply not implemented right now)
My key technical complaint about LLMs to date is the general inability to add substantial local context. How can I make it understand my business, my processes, my approach to the market? Can I retrain it? Or make it understand my data warehouse?
I think you are explaining why LLM providers don't care about solving my concerns, generally speaking. This is sobering.