This is a little bit different than actually literally I vector centrality but it's very similar and so we call this technique IGEN reviews and I've become convinced that this is more or less the right way to do performance reviews.
So we just could not see a way this could happen by chance and once we saw that we really felt quite convinced that this was a real signal and that really somehow there has been natural selection to increase the genetic changes that today manifest themselves as more years of school at predicting more years of schooling.
And so you sort of you've you've pursued very similar ideas. It's been very successful in one case and it's been completely and utterly unsuccessful in the other case. And I think I mean a priori, you can't tell which of these is the thing to do. And you actually need to do both.
You can give it a Bash tool so it can ripgrep its way through the codebase. You can give it some queryable codebase index, an LSP server, a vector database. In the end it doesn't matter much. The bigger the codebase, the lower the recall. Low recall means that your agent will, in fact, not find all the code it needs to do a good job.
I think there's this whole idea, I call it a denial of attention. I think there's an entire attack vector that's going to be happening. We're using LLMs to generate fake bug reports, fake all these things to just actually effectively to demotivate and hurt open source maintainers.
FLOP is the vector that the government has cared about historically, but the other two vectors are arguably just as important. And especially when we come to this new paradigm, which the world is only just learning about over the last six months: reasoning.
There is an algorithm called BM25 precisely for this, which is a more sophisticated version of TF-IDF. TF-IDF is term frequency times inverse document frequency, a very old-school information retrieval system that just works actually really well even today. And BM25 is a more sophisticated version of that, that is still beating most embeddings on ranking.
The model output, which uses data from 74 presently flying airliner variants, from short-haul Commuters to long haul Widebodies, made with aluminum or composites, shows that the OEW fraction (OEW divided by MTOW) never go below 47%.
This is what I wish I learned from in my freshman year of college. The part of it about linear algebra is one of the best linear algebra resources out there, and remainder shows you how those tools apply to non-linear mathematics.
I however recently started to experiment with crouton, which allows me install a chrooted Ubuntu (or other variants of Linux) on a Chromebook and I can use GnuCash there. So far, this set-up seems to be working well enough for me, so I may be able to lose the Vizio someday.
There's also a Wacom tablet as well for when I do digital paintings but lately my art has been leaning towards a more graphic vector style so it doesn't get quite as much love.
On the go: An 11" MacBook Air with 4 gigs of RAM, which is perfect for client emergencies when I'm traveling, for working on small vector projects and for working on typefaces, which don't require a massive screen.
A korrent is a belief a person has stated in their own words: one
sentence stating the claim, backed by a quote and a source, kept at
korrents.com.
Under a name here, the quoted block is what they actually said.
The korrent beneath it is the claim those words support, in
korrents' wording — tap it to see the record, its source, and who
else holds it.
Nobody here wrote their own korrents. They are compiled from public
statements, and a person can change their mind, which is recorded too.
About the English under a post
Some people here publish in a language other than English. Where they
do, this site shows a machine translation beneath the post, in
this typeface — the site's own, not theirs.
The post itself is never changed, moved or hidden: what is set in the
serif above is exactly what the person published, and it is what to
quote them on. A translation can be wrong in ways that matter,
especially about tone.
Only the post's own words are translated. A quoted post, a linked
article and a belief on korrents.com
are left in their original language.