Kagi does not use their own indexes, aside from perhaps very small things.

They use both Bing and Google indexes. It is why the cost per search is relatively high.

This change will impact them and it's currently a discussion topic on their Discord as well.

Pretty sad. I just started using it a week ago and am still planning on not going back.

Brave Search is the only large usable independent search index that I am aware of. 92% of results come from its own index, with 10B pages indexed.

https://dkb.blog/p/brave-search-interview

What's wrong with https://commoncrawl.org/ ?

I worked in the automotive industry and I can totally confirm. The worse thing is, there are now AUTOSAR experts and AUTOSAR tools and AUTOSAR Tool Experts and within that tool there’s a ARXML generator that’s generated with another tool …

There’s no way this can ever become safe, robust, software. The worse part is, there’s so many careers that depend on this obscure skillset that I am unsure a change can come from existing companies.

Dont even get me started on the tooling. Vectors, Elektrobits, Dassaults, Conti's, tools are probably one of the biggest drains on collective computation power outside of crypto and ML.

Not to mention working in this space is fucking soul consuming. I was considered an "AUTOSAR expert" for a time, and that essentially meant having enough programming and systems knowledge to work on the entire stack. But never writing a single line of code, only clicking buttons in these god damn tools and watching them crash constantly, loosing hours upon hours of work

I mean, no it isn’t.

At the same time, an operation which works like this is certainly extremely flawed. I doubt there’s one engineer working on GDrive that doesn’t think a folder size feature wouldn’t be useful and relatively simple to implement. So that’s more of an argument towards the operation going bad, instead of the engineers.

Maybe this slipped through the cracks but this thread already contains a bunch of examples of stuff like this happening.

They can be architecting Tensorflow really well and that certainly is impressive but when GMail takes 3 seconds to load the main page and downloads 10MB during that process you know something is going wrong.

The speed of a car stuck in first gear is impressive next to a horse-drawn carriage. Something is still broken.

Interestingly this is written in Golang. I wonder what the main considerations for choosing it were.

On top of the hat: Safe, fast compile times, takes care of memory management for you, powerful stdlib, fast and lean execution, straightforward readable code, portability, static compilation, swiss army knife tooling.

Potential downsides: Golang/libs maybe a bit immature for non-system/microservices projects.