CIA's top project thus far
30 karma · joined September 5, 2020
I'd be willing to pay up to 3$ a month for my searches, but also per-use.
If I make 0 searches, why do I need to pay?
A replacement for Google that is to survive should really convince and be super cheap, it's so easy to ignore sponsored search results (for now).
1200$
I have an easier time justifying this
Now my product manager and customer support teams use it for most small questions / charts needed.
This kind of generates the type safe queries for you, which is the end goal. But then why don't developers use the query builder instead? Why have an unnecessary generation step?
I feel like a good query builder ORM is more than enough and more straightforward than this. What am I missing?
Would be a massive plus if this runs alongside the webserver (i.e. not a separate entity - ex. alongside FastAPI).
I also think I'd only use it if it's open source since it sees all my traffic.
On the info leaving your machine part, obviously since we're using OpenAI the table metadata will be sent to draft the SQL. But the conversations and messages and the stored results and everything stays local in an SQLite DB. No cloud or anything involved. With Local LLMs it will indeed be FULLY airtight.
We don't support local LLMs yet cause we want to ensure high quality results. We're only exposing models after we test them thoroughly (eval pipeline work nearly done now - less than a week left probs). So soon we'll be releasing more supported models, including local LLMs. But only if they're good enough/fast enough. Speed is one concern for local LLMs but you should see the quality - pretty meh right now. But haven't tested all of them so can't generalize yet. With the eval pipeline this will be much easier.
Or that sentence: "Lack of sun exposure is just as bad as smoking."
Do you even hear yourself? Have you taken a statistics course before? How did this even get published?
There are 99999999 other reasons that contributed to mortality. Sun exposure is definitely not one of them.
Exercise and nutrition are the leading factors, period. Who funded this shit
Then we could generate particles from each that can be potentially entangled to the original system as well. Can it work that way?
If we keep looking at one bit there's probably not much we can do. But when we start looking at entanglement of systems then maybe some we learn about some phenomenon that makes this possible.
Excuse my ignorance, I'm not even a physics major so I probably spewed meaninglessness but I'd love to learn more from replies!
Just install several pythons with different binary names.
ex. python3.8, python3.9, python3.11
No need to complicate things.
If using Poetry, you can just do `poetry env use python3.8`.
I'd love to also see applications of custom memory allocations. I know about usecases in building game engines and the importance of hitting cache there, but I'm not sure where else in the world this would be as useful.