No, see, if we just give it all the energy, burn our skies and boil our oceans to make AI better, then it’ll for sure tell us how to unfuck everything.

/S

I get what you’re saying, but the problem is that AI seems to need way more hand holding and double checking before it can be considered ready for deployment.

I’ve used copilot for Ansible/Terraform code and 40-50% of the time it’s just… wrong. It looks right, but it won’t actually function.

For easy, entry programs it’s fine, but I wouldn’t (and don’t) let it near complex projects.

Yes because just doing a stupid search of text in a page has been broken since web browsers existed.

For the life of me, I cannot understand smashing AI into everything as a replacement for search.

No co-pilot, I do not want you to use AI to try to find a document in my company’s SharePoint. I want you to fucking look for a text match. No weird summaries, no guessing at what I might be meaning to find, search for this text string.

I’m a US citizen who is traveling internationally later this year for the first time and I’m freaking out about it.

I already hate flying, and 12+ hours in a tin can is just this side of anxiety inducing already. Add in the border patrol/customs interactions and I’m this close to quitting my job so I don’t have to go.

Link directly to their settings: https://www.protondb.com/app/2623190#oUuf0fxasv

I won a Coldplay CD. It was fine.

Really stupid question that I always think about when footage like this shows up - where do the bullets/shells go that miss? Obviously they come back down, but this looks somewhat populated. I would assume friendly fire or collateral damage is a real thing, but I never hear about it.

Yeah, that’s the other thing to keep in mind, since the KVM APIs are different from the vSphere APIs, you can’t just swap providers without changes. But if you were going from a test vSphere stack to a prod, you could update the endpoint and be just fine.

Hashicorp has caught some shit in the past about claiming the code covers multiple providers. Technically, it can if you do weird shit with modules, but in reality there isn’t a clean way to have a single, easily understandable project that can provision to multiple platforms.

nothing about it is common or portable, so if you change your VM host, it might all fall apart.

Disclaimer, I’m pretty much elbow deep into terraform daily and have written/contributed to a few providers.

A lot of this is highly dependent upon the providers (the thing that allows the Terraform engine to interface with APIs for AWS, Proxmox, vSphere, etc. The Telmate Proxmox provider in particular is/was quite awful with not realizing a provisioned VM had moved to a new host.

Also, the default/tutorial code tends to be not very flexible. The game changer for me was using the built-in functions for decoding yaml from a config file (like yamldecode(file(config.yml)) in a locals block. You can then specify your desired infrastructure with yaml and (if you write your Terraform code correctly) you can blowout hundreds of VMs, policies, firewall rules, dns records etc with a single manifest. I’ve also used the local_file resource with a Terraform file template to dynamically create an Ansible inventory file based on what’s deployed.

I was curious as to the original specs (because computer tech so quickly is outdated)

From the friends wiki:

Chandler’s laptop is a Compaq Contura 4/25cx during “The One With The List”. It was the top model of the Contura lineup of that time (1994). The base model had:

Processor: 486SL running at 25MHz (slowed down version of the 486)

Display: VGA color (active matrix)

RAM: 4MB (expandable to 20Mb)

Hard disk: 120MB or 200MB

In 1994 the base model costed $3,848 which, adjusted for inflation, is $6,756.82 in 2020.

Chandler’s version had “12 megabytes of RAM, 500 MB hard drive, built-in spreadsheet capabilities (they all had that) and a modem that transmits at over 28,000 bps.” so would have costed a lot more.

I only use voice to interact with my phone when I’m driving and want to set a destination, or if I’m at home and can’t find my phone.

Somehow I doubt that AI will help tell me my phone fell off the nightstand and is half way under the bed.

That’s why I’ve stopped using non-local LLMs. Ollama works just fine on my outdated GTX 2060.

If you haven’t seen it, find the Galaxy Quest documentary - it’s a delight.

https://www.youtube.com/watch?v=39cVvN28UXE

I know it doesn’t exist, but I would love it if the Galaxy Quest “Fuck This” release would come out.

(For reference: https://youtu.be/Jv04e7q-DzU)

I’d say it was weird, not shit. It was hard to find niche sites, but once you did they tended to be super deep into the hobby, sport, movies, or games.

SEO (search engine optimization) was probably the first step down this path, where people would put white text on a white background with hundreds of words that they hoped a search engine would index.

I’ve tried using an LLM for coding - specifically Copilot for vscode. About 4 out of 10 times it will accurately generate code - which means I spend more time troubleshooting, correcting, and validating what it generates instead of actually writing code.

I was just commenting on how shit the Internet has become as a direct result of LLMs. Case in point - I wanted to look at how to set up a router table so I could do some woodworking. The first result started out halfway decent, but the second section switched abruptly to something about routers having wifi and Ethernet ports - confusing network routers with the power tool. Any human/editor would catch that mistake, but here it is.

I can only see this get worse.

But the prices will come down if tariffs are removed, right? Right!?

It is, and it’s been revived! https://github.com/maforget/ComicRackCE