inertiatic

You think you navigate a career in academia without working through different opinions, collaboration etc.?

Have politicians ever been voted en masse for their ability to navigate the domain they will be deployed to work on? It's a combination of popularity and (stated) opinion overlap.

Imagine a system where 1/10 companies makes 12 times the investment over a year, but 9/10 fold with your investment gone.

A rich person can afford to split their wealth 10-ways, meaning they get a 20% ROI every year.

9/10 workers don't get shit, while one does.

What we want instead is everyone benefiting.

Left wing billionaire is such an American take lmao

It's clear it means that there's a large overlap in titles and they are available in better quality on the PC platform?

>We now have a tool that can be useful in some narrow domains in some narrow cases.

I get being reserved about where this goes, but saying something like this is quite insane at this point.

>We are essentially offloading our moral responsibility to a black box that cannot be held accountable.

We already did it with companies, buddy!

Lucene and ES implement a shortcut for filters that are restrictive enough. Since it's already optimized for figuring out if something falls into your filter set, you first determine the size of that. You traverse the HNSW normally, then if you have traversed more nodes than your filter set's cardinality, you just switch to brute forcing your filter set distance comparisons. So worst case scenario is you do 2x your filter set size vector distance operations. Quite neat.

You know, humans pick up hobbies like cycling or running which they do consistently for years, listen to specific music genres or even electronic music which is mostly just a beat, hang up a painting they like in the living room and look at it for years and years, go out to their favorite place to eat consistently or cook the same passed down family recipe, and in so many other aspects avoid sudden changes, and you're surprised that for video games we enjoy the same formula repeatedly?

>An engineer starts at $200/hr

Starts?!

>I'm still looking for a systematic approach to make a hybrid search (combined full-text with embedding vectors).

Start off with ES or Vespa, probably. ES is not hard at all to get started with, IMO.

Try RRF - see how far that gets you for your use case. If it's not where you want to be, time to get thinking about what you're trying to do. Maybe a score multiplication gets you where you want to be - you can do it in Vespa I think, but you have to hack around the inability to express exactly that in ES.

I don't know how this is something related to AI - you could polish and embellish your resume before LLMs too, I'm fairly sure. I guess this gets the clicks.

Not being to remember small details about certain projects is also perfectly fine for people who have worked for more than a couple of years. Unless you can discover a pattern of lying like the author supposedly did then I would just be perfectly fine moving on to another topic.

4.8b words on English Wikipedia. Knowledge cutoff of 6 months. A valid use case is to search across Wikipedia and ground your answers. Trivially proves that RAG is still needed.

I use Firefox as my main browser and it's not a viable alternative to Chrome if you have the very common usage pattern of keeping tens of tabs open.