It’s a bit silly to say they don’t reason.

Here’s some research where they uncover reasoning circuits in some large transformer models https://github.com/guanzhehong/prop-logic-transformer-circuit … reasoning has always been just math at th end of the day

And what about alpha go and all that monte carlo tree search stuff, id argue that they can reason far better than humans in these setups

They can’t understand something…outside their training data

Idk how easy this is for the the large models, but certainly for classic ML, testing for performance on data outside the training data is 100% part of the development process. (Read up on test/train/validation datasets)

There is also in context learning, which gives rise to zero shot task completion for never trained on tasks.

• 3D Desktop Cube workspace switcher
• Grub boot loading screen customize (to matrix style falling letters loop of course)
• tube tv style terminal skin
• Jurassic park style lock screen reject

Oops, realized I didn’t answer your question about actually crawling, dig into common crawl documentation, they provide a bunch of technical data and stats that show you the scale…2-4billion pages per month

And note CC just does a sample of the pages it finds. So the more monthly dumps don’t contain all of the data afaik

And the number above are for one of the monthly dumps

https://commoncrawl.github.io/cc-crawl-statistics/plots/crawlermetrics

The index (i.e just the list of urls) of common crawl is 250gb. The actual crawl is 500tb ish. Then pull out just the text you get down to 30tb ish. And then you need that all to be in a fts index… (something like opensearch/elasticsearch) idk how big the cluster you would need for that is… maybe 2tb per data node max. So 15 pretty beefy vms (8cpu w/64gb memory) with 2tb nvme for data and a few more as controller nodes

Common crawl numbers pulled from this paper

https://aclanthology.org/anthology-files/anthology-files/pdf/L/L18/L18-1286.pdf

Cluster sizing numbers pulled from tea leaf divination

Are you the llm though…this is a mangled rephrasing of the punchline… was your prompt something like rephrase a common from a similar thread

Better Nate than lever?

Is this an llm bugging out by rephrasing?

Nice :)

Nice, ok hmm… sounds like you are using the router for internal DNS, did you set all the services to point at caddy?

Eg you could try a quick hack in hosts (assuming the caddy ip is 192.168.10.10)

192.168.10.10 grafana.domain.example
192.168.10.10 prometheus.domain.example
192.168.10.10 jellyfin.domain.example

And then navigate to one of the services over https

Main thing is all your internal DNS records need to point at caddy, and then it forwards to the real container IP

Not strictly required but could be worthwhile to get a dedicated internal dns server up… I use technitium, or there’s pi hole or a few other options …

If you are doing a dns challenge then You need to give caddy access to your domain to perform the dns challenge. Depending on domain provider that is easy or hard. It will briefly change some records that tells let’s encrypt you own the domain and then issue the cert

Or you can do http challenge, this requires you to manually configure your domain to point to a publicly accessible caddy endpoint which is probably not what you want, maybe there is a way to make it work through a cloud flare tunnel

Who is your domain provider?

Envoy is what i use, or squid is an option

Idk anything about this…but here is my Google results

https://concurrent-rt.com/redhawk/redhawk-linux-for-the-golden-dome-missile-defense-architecture/?v=8bcc25c96aa5

Don’t think golden dome is actually implemented, though just some trump delusion…but apparently this Redhawk Linux is used in…

https://en.wikipedia.org/wiki/Aegis_Combat_System

The article states 1.5 million liters… and the paper says 1.55 x 10^6 m³

Very old article, they are absolutely just using llms nowdays

Edit: this is the paper https://arxiv.org/pdf/1611.04558 the article is about

Maybe not apt…but sudo dnf install nix nix-daemon

Edit: which doesn’t answer your question about free runners… but can you trust them anyway? They are running a container afaik

Did you try googling EQ?

Not too difficult to fix this in post.

1. Turn off, boot from a USB
2. Copy all home to drive
3. Delete home from old drive
4. Add fstab entry
5. ???
6. Lose all data (but usually profit)