Sometimes we forget how happy we were with the first iteration of Instagram. Simple photos with friends. 💙

Nice!!

I want to add, when you see tools like this, always question how they arrived to those numbers. Ask how it’s built, what calculations they used. You’ll quickly find out there’s missing components due to lack of infrastructure. It is getting better though!

😭

I’m familiar. I know several tools that try to approximate but again it’s more nuanced than this

What you have to realize is the demand for energy doesn’t stop. But when the sun doesn’t shine or wind doesn’t blow, it stops generating energy. You need to replace that energy somehow. And you have to go to fossil fuels to do that

carboncredits.com/the-ultimate...

The reports are sometimes an approximation. Although they’ve gotten better. What some companies will do is basically give “carbon credits” which is like a donation to prop up clean energy expansion. And they offset their CO2 numbers that way too. But not really emitting less CO2

I wish we could have a clean energy outlet and fossil fuels outlet but that’s not how it works. You cannot “unblend a smoothie”

When you plug in the data centers, you don’t know where the electricity came from. Clean and dirty energy are all “blended” on the outlet. Even if you had the energy consumed number, that doesn’t mean that’s your CO2 output. It’s very complex or we’d have an answer by now

That is way too broad. You have a lot more nuances when it comes to the consumption of energy. Down to how many “for loops” your code has. There’s a LOT of components that go into electricity usage you can’t apply a blanket query or assume energy usage = CO2

From the AI engineer perspective, I’ve worked on improving code inefficiency to lower carbon emissions. I have found the problem is much more complex. There aren’t any tools that we can use to truly measure how much carbon we are putting out. There’s a lot of ongoing initiatives to fix this tho

lol

Should robots be now python native? 3/3