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joined 1 year ago
[–] [email protected] 18 points 4 months ago

No, I live here.

I hate

  • religious zealotry
  • massive dichotomy in polotical ideologies
  • identity politics
  • warmongering
  • brainwashing (pledge of allegiance?!)
  • poor treatment of poor and homeless
  • prison complex
  • poor education system
  • incredibly expensive healthcare
  • terrible zoning laws and car centricity
  • hiroshima, native genocide, iraq, and so many more. The US has shed so much blood and terror inflicted on the world population
  • world police, vigilante, the US is basically every bad movie villian in country form
  • regressing views on women's rights
  • the history of slavery
[–] [email protected] 0 points 4 months ago

Could be a really bad sunburn, the image isn't super clear. Google "sunburn blisters"

[–] [email protected] -1 points 5 months ago

"rips" "drags" "slams"

What is with the weird word choice for modern news articles?

Lets whip out the thesaurus, use some flowery language! It can still be easy to understand but let's expand past the weird 3 verbs we've been limited to!

"Senator Matt Gaetz forgot that investigations prove innocence too, and lashes out with his comments about a new investigation into his alleged intimate relationships with high schoolers."

Really, if somebody wanted to investigate me about something I knew I was innocent about, I'd say "do your worst" not "ugh why would you investigate me" in a whiny voice.

[–] [email protected] 4 points 5 months ago (2 children)

Thank you, wish we could vote on a new title as a community, a'la stack overflow

[–] [email protected] 2 points 5 months ago

This old tony is the GOAT

[–] [email protected] 6 points 5 months ago

Moving to EVs is great, all countries are following similar trends and it is a good step in the right direction, but China has a long way to go before becoming a bastion of ecological absolution. Shanghai's fog of pollution is something everyone should experience.

Remember china has the second largest population on the planet, cumulative metrics are useful but miss the bigger per capita picture. Check out the wikipedia article on ev usage and note the per capita numbers

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

[–] [email protected] 0 points 5 months ago

Man 11k is pretty spendy

[–] [email protected] 78 points 5 months ago (7 children)

Cat cafe, you can chill in there for ages slurpin on coffee surrounded by the lil gremlins

[–] [email protected] 12 points 5 months ago

Wow what a neat project, I have spent a lot of time recently working around vulkan on m1 machines with compatibility layers and while it's not a huge pain it does suck to miss out on some of the more powerful features of vulkan that the hardware is certainly capable of. I'm not keen on learning metal to bridge the gap and this is just what the doctor ordered.

This will be a huge boon for me, way to go!

[–] [email protected] 23 points 5 months ago (3 children)

I think you may mean eidetic

[–] [email protected] 69 points 5 months ago

We don't deserve our open source heroes, so grateful for the incredible free software ecosystem

Gimp, 7zip, blender, vlc, open office, the kernel, thousands of others, I feel like our lives have been universally improved by these inverted charity projects. The few taking care of the undeserving many.

[–] [email protected] 47 points 5 months ago (16 children)

I'm a 10 year pro, and I've changed my workflows completely to include both chatgpt and copilot. I have found that for the mundane, simple, common patterns copilot's accuracy is close to 9/10 correct, especially in my well maintained repos.

It seems like the accuracy of simple answers is directly proportional to the precision of my function and variable names.

I haven't typed a full for loop in a year thanks to copilot, I treat it like an intent autocomplete.

Chatgpt on the other hand is remarkably useful for super well laid out questions, again with extreme precision in the terms you lay out. It has helped me in greenfield development with unique and insightful methodologies to accomplish tasks that would normally require extensive documentation searching.

Anyone who claims llms are a nothingburger is frankly wrong, with the right guidance my output has increased dramatically and my error rate has dropped slightly. I used to be able to put out about 1000 quality lines of change in a day (a poor metric, but a useful one) and my output has expanded to at least double that using the tools we have today.

Are LLMs miraculous? No, but they are incredibly powerful tools in the right hands.

Don't throw out the baby with the bathwater.

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