Potentially that would be a good application of federation and distributed computing
An Internet archive like distributed tool, that then feeds into local tokenization and indexing.
Alternatively a centralized service that generates indices and then locally they are queried would save a lot of energy.
Prediction: this gets used to surveil dissidents and minorities disproportionately.
the email to Aboussad reads. “It is also concerning that you have not apologized to the company, and in fact you have shown no remorse for the effect that your actions have had and will have.”
Obviously there were going to fire these employees, especially the one who gave notice then did this.
But why the fuck would anyone be like “yOu DiDn’T eVeN aPoLoGiZe To ThE cOmPaNy”? That’s the stupidest god damn thing I’ve heard since “Liberation Day”
They should sell a charger called “ba” and then a two pack called “banana” and a four pack called “bananana”
I think fediverse being the ocean is apt.
We’re just here, with wave after wave eroding the shore of the island that is Reddit.
Reddit has very weak leadership in my opinion.
I wouldn’t be betting on them, especially when their user base is going to want them to stand up for them and the Elon fiasco shows Spez won’t.
It’s a tinderbox before the next large Reddit protest happens again and more niche communities splinter off to the fediverse.
I guess it depends, I can make a pivot table in like 30 seconds, which is faster than setting up and loading data into a notebook.
I’ve gone full circle
Loved sheets, then hated them because we should just use a DB
Now I do stuff in sheets with a tab explaining how I got the data because I can email it to someone and in 4 months it still answers their questions.
Anyone using Lineage? How is it?
I’ve got a Pixel 7 and have been wondering
There are various levels of AI here
Storing embeddings/vectors in a search index can make your searches smarter and more relevant. The embeddings squeeze related concepts closer together than pure keyword approaches, which if done well increases retrieval quality.
RAG tools and AI searches are just a layer on top of your index. When done well these can be really useful in annotating your results and speeding up finding things.
That’s useful when you’re searching say an error message and the AI is able to iterate on keywords and skim a Guthub issue about it and skip to the resolution.
Similarly it’s good when you’re researching something but don’t have the exact words, AI search can iterate and capture your intent, then run several queries based on that.
I don’t find the hallucination problem significant in practice with a lot of AI search tools, but I have found AI is vulnerable to certain types of SEO spam that a human would never fall for.
As an example most companies have a “comparison to” or “alternatives to” blogpost. The AI does not critically look at the fact that a service is hosting a blogpost shilling their own product. So asking search AI for options is actually poor quality because it will return the shilled results that appear in search first.
AI also search adds an additional silent layer of filtering, which you need to be conscious of.