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plants commented on Mistral reports on the environmental impact of LLMs   mistral.ai/news/our-contr... · Posted by u/Kydlaw
j-pb · 7 months ago

  - https://mistral.ai/news/our-contribution-to-a-global-environmental-standard-for-ai
  - https://www.statista.com/statistics/1201677/greenhouse-gas-emissions-of-major-food-products/
  - https://www.statista.com/chart/9483/how-thirsty-is-our-food/
  - https://blog.samaltman.com/the-gentle-singularity
  - https://x.com/sama/status/1890820962993533232
You got to do the calculations yourself though.

plants · 7 months ago
Wow, thanks. I’m even coming up with 500K chatGPT queries for the amount of energy consumed as a KG of beef, though I might have moved a decimal place somewhere - feel free to check my math :)

“average query uses about 0.34 watt-hours of energy” - or 0.00034MWH

Using this calculator: https://www.epa.gov/energy/greenhouse-gas-equivalencies-calc... - in my zip, 0.0002KG of CO2 per MWH. (Though, I suppose it depends more on the zip where they’re doing inference, however this translation didn’t seem to vary much when I tried other zips)

Then, 99.48KG/0.0002KG= 497,400 chatGPT queries worth of CO2 per KG of beef?

Thanks for sharing!

plants commented on Mistral reports on the environmental impact of LLMs   mistral.ai/news/our-contr... · Posted by u/Kydlaw
j-pb · 7 months ago
people downvote your sarcasm, but if you do the calculations you're kinda right.

1Kg of Beef costs:

  - The energy equivalent of 60.000 ChatGPT queries.
  - The water equivalent of 50.000.000 ChatGPT queries.
Applied to their metric Mistral Large 2 used:

  - The water equivalent of 18.8 Tons of Beef.
  - The CO2 equivalent of 204 Tons of Beef.
France produces 3836 Tons of Beef per day,

and one large LLM per 6 months.

So yeah, maybe use ChatGPT to ask for vegan recipes.

People will try to blame everything else they can get a hold on before changing the stuff that really has an impact, if it means touching their lifestyle.

The LLMs are not the problem here.

plants · 7 months ago
Those are incredible stats. As a vegan who uses LLMs at work frequently, I would love to have the source as well :)
plants commented on Pen and Paper Exercises in Machine Learning (2022)   arxiv.org/abs/2206.13446... · Posted by u/ibobev
plants · a year ago
This is really neat! I work in machine learning but still feel imposter syndrome with my foundations with math (specifically linear algebra and matrix/tensor operations). Does anyone have any more good resources for problem sets with an emphasis on deep learning foundational skills? I find I learn best if I do a bit of hands-on work every day (and if I can learn things from multiple teachers’ perspectives)
plants commented on What really happens inside a dating app   blog.luap.info/what-reall... · Posted by u/polote
plants · a year ago
> Recommendation of profiles that you may like is a solved technical challenge at Tinder level and at mostly any dating app today.

It’s hard to take the rest of the article seriously after reading this!

plants commented on Appalachian Trail Hiker Photo Archive   athikerpictures.org/... · Posted by u/bookofjoe
elif · a year ago
Psht class of '07

Give me the shortest running shorts pls and I'll cut the extra fabric like pockets off.

The only brush you'll walk thru on the AT is off trail so just don't walk in poison ivy lol

plants · a year ago
I’m in the shortest-shorts camp too. Less about the UL-value of the shorts, more about the mobility to lift my leg as high as I can (specifically to reduce friction going uphill). When you take literally millions of steps on a thru-hike, even the smallest things start to add up.
plants commented on Appalachian Trail Hiker Photo Archive   athikerpictures.org/... · Posted by u/bookofjoe
plants · a year ago
This is great. Found myself on 5/30/22. Looking forward to catching up with photos of people I hiked with. Also love the pics from ‘79 - total time capsule! Short-shorts never went out of style in the hiking community.
plants commented on Ask HN: What is the most useless project you have worked on?    · Posted by u/panqueca
plants · 2 years ago
I’ll bite. I worked at a very large Fortune 500 company for a few years. Through some twist of fate, I ended up on an overfunded ML organization that was under no pressure to produce anything of business value. The executive in charge of this operation let this fly for about a year before they realized they weren’t getting anything valuable out of it. They put pressure on the VP of the org to start producing business value or else.

Fast forward another month or so and there are six hastily thrown together initiatives in which our organization is contracted to other organizations to “help them out”. The team dynamics were atrocious - our team was met with skepticism as to why we were helping out (was the other team not doing their job well enough?), and people on our team were often clueless on the business subject matter that we were supposed to be consulting on.

I was assigned to one of these initiatives, and upon digging into the business problem, our team realized that the feature importance was completely contained within a single categorical feature in the model. All other features in the model were comparable to uniformly randomly generated features. In the selfish interest of being able to claim that they “solved their problem with ML”, it was clear that either the model developer or the team at large had obscured this fact.

In an effort to save face, the VP kept us on the project, despite the poor relations and lack of useful features to improve the model. We didn’t improve the model and eventually, the VP ended up being “pushed out”. Last I checked, this VP is currently the CEO of a startup that recently raised a $100M seed round.

plants commented on Paris cycling numbers double in one year thanks to investment   momentummag.com/paris-cyc... · Posted by u/Timothee
ckemere · 2 years ago
Having just moved from Houston to Manhattan , I have been really impressed by the number of bikes I see. One factor, which this article doesn’t seem to discuss, is the e-bike. In Paris, is it mostly classical bikes, or are the electronics becoming widespread there too?
plants · 2 years ago
I imagine that’s just about the starkest within-US move you could make with regard to bike friendliness. I once made the mistake of visiting Houston without a rental car, and it was bleak. Welcome to NYC!
plants commented on Ask HN: How many of you are self employed?    · Posted by u/asim
darajava · 2 years ago
I am working on https://audiodiary.ai as a solo founder, I recently have been getting enough income to just about cover my living expenses and haven’t received any funding and didn’t do any marketing, with 9k users so far since launch last May. It’s fulfilling and great to see people use and love a product I’ve built. I’m obviously highly motivated to grow so it keeps me busy.
plants · 2 years ago
This is such a good idea, I wish I’d thought of it. I have trouble maintaining consistency in journaling, but this makes it a heck of a lot easier. I just signed up - good luck!
plants commented on Introduction to Thompson Sampling: The Bernoulli Bandit (2017)   gdmarmerola.github.io//ts... · Posted by u/pncnmnp
plants · 2 years ago
This is great. I remember finding another really good resource on the Bernoulli bandit that was interactive. Putting feelers out there to see if anyone knows what I’m talking about off the top of their heads.

u/plants

KarmaCake day315December 14, 2017View Original