Hard Pass

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Hardpass.lol is an invite-only Lemmy Instance.
founded 1 year ago
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hard pass chief

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Do they actually know how the technology works? They will have to scan everything inbound and outbound connections, basically managed devices.

Apple and Google have been given a three-month ultimatum to make it impossible for children to take, share or view nude images on their smartphones, British Prime Minister Keir Starmer said on Monday.

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No matter how much you dress up whatever AI service has gaslit you into believing it’s sentient, generative AI is inherently limited, impossibly expensive and economically unviable. Its services cost too much to run, its progenitors have no path to profitability, and no amount of rigged benchmarks and anecdotal examples of theoretical engineering teams that are “10x’d” can make up for the fact that you can’t measure the cost of an LLM-driven task or its return on investment.

Anyone claiming that you have to “measure AI’s ROI differently” is attempting to con either you or themselves. While it’s tough to measure the ROI of a particular worker or project, most workers and projects don’t increase your operating expenses by anywhere from 10% to 100% under the vaguest of promises that you might be “doing the future.” AI is calamitously expensive and, despite years of promises of it getting cheaper for both those running AI services and its customers, costs have only ever increased.

I think that’s by design. AI labs want their costs to be high so that they can continue growing at ridiculous rates, all so that they can keep feeding money to their hyperscaler compute partners who then invest that money right back into them, creating further reasons to keep buying NVIDIA GPUs, so that NVIDIA can then invest that money back into either AI compute providers (who OpenAI and Anthropic pay) or the AI labs themselves.

Concepts like “efficiency” or “cost reduction” run counter to the greater narrative of AI’s voracious sprawl of data center capex and still-theoretical AI revenue. If OpenAI or Anthropic were to seek profitability or sustainability (assuming these things were possible), that would create less demand for AI compute, which would mean less demand for Azure or Google Cloud or Amazon Web Services or CoreWeave or Oracle Cloud Infrastructure, which would in turn mean less demand for NVIDIA GPUs.

The problem with this marvelous plan is that at some point there had to be an honest transaction — real, honest, sustainable demand based on a reliable product that people liked paying for because they understood its value. Right now, AI revenues are either chaotically experimental or so thoroughly-subsidized that labs are giving away hundreds of dollars a user in the hopes that at some point said user might want to pay even more money for measurably less value, the kind of proposition you make when you think your customers are fucking idiots.

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While the intake report memorialized allegations that multiple girls were murdered and buried at a Trump golf course, newly released Epstein records suggest federal investigators ultimately viewed the source skeptically. Other FBI summaries released by the Justice Department indicate complainants making similar allegations were “deemed not credible,” and no publicly released records show that authorities excavated any Trump golf course or uncovered evidence supporting the claims.

Guess the rich only ever saw consequences once: France in 1792

What would America's Storming the Bastille moment even look like? Storming the child-rape mansion that is Mar-a-Lago? Who's head would get carried away on a pike? Miller's? Theil's? Musk's?

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Self-hosting journey update, and WordPress: latest development from a super-newbie

@selfhosted

I must recap as I set my instance to delete 2-weeks-old posts.

Months ago, I talked about my very first journey with self-hosting my digital services, including my website.
As I'm not very skilled with sysadmin stuff, I use a YunoHost installation with all its pros and cons.

Having severe accessibility needs (I'm totally blind) I have limited choices for what concerns CMS software with related extensions if any. So after months of exploration and test, I've come back home. To WordPress.

Last time I updated Fediverse about my experience, I was struggling with multisite network giving an unpleasant error in the non-main site, such as "too_many_redirects"
Making it short, I discovered that YunoHost doesn't let me run a multisite properly when installed in a subdomain such as blog.domain.tld
So I had forcefully to install it in the main domain, and a subdirectory such as domain.tld/wp

Now I'm concentrating on my theme, I will clone it with the plugin "CreateBlockTheme" then activate it network-wide.
I need a multisite for multilingual, as all current multilingual plugins have poor accessibility support, and are mostly paid.

Then I may need a new taxonomy registered to organize stories, the glossary plugin, SEO plugin, ActivityPub, and I should be all set!

The last, hard, challenge I have, is the fact that now my site runs into "domain.tld/permalink-post" for Italian, and "domain.tld/english" for English
The new one should run "domain.tld/wp/post" and "domain.tld/wp/english/post"

YunoHost doesn't let me build a WordPress site in the root directory with multisite installed, so I must find the way to tell nginx I want the product to be physically on /wp/ but browser can point to domain.tld/post or domain.tld/english/post...

And if possible, this change to be in a file on its own, in order to be able to delete it without damaging the whole nginx conf.

Last detail, I'm on hostinger, kvm2 package. vps.

#experience #multisite #nginx #SelfHosting #WordPress #YunoHost

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some scrapes and sore as fuck, but no broken bones and no broken noggin

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So, yes this is selfhosting related. I am working on an n8n flow to pull in weather data so that I can have this data on a dashboard. I can't find any dockerized weather forecasting apps. Most of them connect to a personal weather station, which might be an option in the future. For the time being, this is a little project I'm working on.

Partial JSON snippet:

spoiler

0	
json	
cod	"200"
message	0
cnt	40
list	
0	
dt	1780693200
main	
temp	29.4
feels_like	29.23
temp_min	29.4
temp_max	29.68
pressure	1019
sea_level	1019
grnd_level	984
humidity	42
temp_kf	-0.28
weather	

I would like to display something like this:

spoiler

Current temperature: 23.25 °C
Feels like: 24.09 °C
Low / High: 23.25 °C / 23.60 °C
Humidity: 94%
Atmospheric pressure: 1023 hPa (sea level: 1023 hPa, ground level: 988 hPa)
Temperature correction factor (temp_kf): -0.35

Weather: Light rain
Weather code: 500
Short condition: Rain
Icon: 10d

So, this is for you devs or coders out there. I can produce the JSON data. I'm just not sure how to parse it to something meaningful. I'm sure Python will have to be incorporated, but unsure of how to proceed.

Maybe someone could point me in a direction to tuts, articles, or your own experience. Sorry the JSON data doesn't format correctly. Lemmy formatting doesn't seem to allow that.

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