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Xometry, though it's also US and EU based.


I've been slowly working my way through this book for the past couple months. It's been amazingly helpful in learning all of the deep learning terminology, and giving a good overview of the technology.

I was doing all of the examples and exercises for a while, but gave up on that at some point. My main goal, after all, was to learn about how the technology works in order to separate the wheat from the chaff, not become an AI researcher.


Slop has been around a while. I was researching a topic, and noticed that most of the top search results had the same misunderstanding of some of the definitions. The writers were clearly not familiar with the topic, and I'm sure they were just copying each other. All of the articles pre-dated GPT-3.5.

The kicker is that if you ask GPT-4 about it, it spits out the same incorrect information, meaning that GPT-4 was likely trained on this bad data. FWIW, GPT-4o gives a much more accurate response.


I wonder (as an outsider) why would GPT-4o give more accurate responses? The training data is the same, right... so maybe somebody can point this out like for a kid, thank you.


It can't correctly identify a DXF file in my testing. It categorizes it as plain text.


  developers iso2_code population fraction
  20226711 US 335893238 6.02%
  15528470 EU 448387872 3.46%
  13326416 IN 1392329000 0.96%
  9131545 CN 1409670000 0.65%
  4315369 BR 203080756 2.12%
  3422806 GB 67026292 5.11%
  3060711 RU 146424729 2.09%
  2972917 DE 84607016 3.51%
  2938205 ID 279118866 1.05%
  2886350 JP 124090000 2.33%
  2479673 CA 40528396 6.12%


By the metrics on this page, 6% of the US population has a GitHub account. Seems a bit high to me.


I have a personal account and 2 separate work accounts, so I think you could easily divide that number by 2 or 3


vpns, multi account, &c.


I mean, I have three right now: Personal, corporate, and one for a specific contract. The number may jump to 4 later this year.


"I tried to picture clusters of information as they moved through the computer. What did they look like? Ships, motorcycles? Were the circuits like freeways? I kept dreaming of a world I thought I'd never see. And then, one day, I got in..."


Tron Legacy. Such a good film. My kids and I watch it a few times a year. I tried watching the original from 1982 and it just felt so... dated? Perhaps I'm spoiled like most people from all the great CGI and effects.


Would recommend reading a background on how they made Tron 1, then rewatching.

If nothing else, it's fascinating from a special effects technical standpoint, for when it was made.


I met Marc Thorpe back in 1995 and saw some of the Robot Wars highlight videos he was using to promote the event. My life was never the same after that.


Please remind me why landfills are so bad again.



Most of those problems don’t apply to plastic waste.


I believe all of them do, which ones were you thinking don't?

It seems common to falsely believe that burying plastic in landfills has less greenhouse gas emissions than recycling it, so I'll assume that's what you are referring to.

> The existing literature on LCA of plastic waste management is vast and the results reported are generally consistent, showing that recycling generates the lowest GWP and TEU environmental impacts.

LCA: lifecycle analysis

GWP: global warming potential

TEU: Total Energy Use

https://watermark.silverchair.com/140001_1_online.pdf


I ran a business successfully for many years with GnuCash. I only switched because I wanted to offload bookkeeping to a professional for a couple hundred bucks a month, and she was only familiar with QuickBooks.


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