Interesting, it doesn't seem intuitive at all to me.
My (wrong?) understanding was that there was a positive correlation between how "good" a tokenizer is in terms of compression and the downstream model performance. Guess not.
Most of the cost (to the government) for Windows is "support" (in a very general sense) and that cost isn't disappearing with Linux.
Especially since it is easier to find badly underpaid (and not particularly competent) Windows sysadmins than it is to find badly underpaid Linux admins.
Ok but the license fees are, what, 50 quid? times say, 3k or 30k people? A 150k or 1.5m injection into the linux ecosystem to develop those would pay for a _lot_ of developers and a _lot_ of developer time.
From what I heard about NGI-zero, another government sponsorship project (1), the problem so far is primarily finding the projects that need sponsorship.
That doesn't seem correct. Almost all of the projects installed on a standard Linux distro need funding. I just stopped applying to NLnet after getting nothing but rejections.
Are you implying that need for support would go away?
If anything the demand would be artificially high at the start of a mass migration, and then presumably level out to something similar to what we see today with Windows.
Not a thing any longer, for the most part. People know how to open a browser on any operating system these days. Go to the menu, run it. Get bored and click the X on the top bar. Source: nearby kids. A few times I've said... "this is Cinnamon, or KDE, or... Windows."
> for the same reason math problems require one to show their working.
We don't put our transitional proofs in papers, only the final best one we have. So that analogy doesn't work.
For every proof in a paper there is probably 100 non-working / ugly sketches or just snippets of proofs that exist somewhere in a notebook or erased on a blackboard.
> While it's noisy and complicated for humans to read through, this session info is primarily for future AI to read and use as additional input for their tasks.
Context rot is very much a thing. May still be for future agents. Dumping tens/hundreds of thousand of trash tokens into context very much worsen the performance of the agent
I understand the idea but the way I work, a commit isn't "a" session, it's potentially tens of sessions with branching in each session.
I honestly don't know if I'm doing something very wrong or if I have a very different working style than many people, but for me "just give the prompt/session" isn't a possibility because there isn't one.
I'm probably incredibly inefficient, because even when I don't use AI it is the same, a single commit is usually many different working states / ideas / branches of things I tried and explored that have been amended / squashed.
Well according to the website you cannot buy a fully mechanical lens anymore so it doesn’t appear to be true that they sell cameras with zero electronic anymore
I don't think that laying bricks and operating a crane is on the same level(or universe) of complexity as making and operating high-end semiconductor machines.
My (wrong?) understanding was that there was a positive correlation between how "good" a tokenizer is in terms of compression and the downstream model performance. Guess not.