Science Vs
@sciencevs.bsky.social
Official account of Science Vs!
We're a science podcast that pits facts against everything else.
Made by Wendy Zukerman, Rose Rimler, Meryl Horn, Michelle Dang, Ekedi Fausther-Keeys, Blythe Terrell, Bobby Lord & independent fact checkers
We're a science podcast that pits facts against everything else.
Made by Wendy Zukerman, Rose Rimler, Meryl Horn, Michelle Dang, Ekedi Fausther-Keeys, Blythe Terrell, Bobby Lord & independent fact checkers
THANK YOU!! We appreciate the kind feedback, and thanks for listening!
December 1, 2025 at 3:34 PM
THANK YOU!! We appreciate the kind feedback, and thanks for listening!
And you're right that we didn't talk about construction or habitat loss. Definitely big issues, but they were outside the scope of our episode, which was really focused in on energy and water usage. Those could be a whole separate episode ...
November 20, 2025 at 3:50 PM
And you're right that we didn't talk about construction or habitat loss. Definitely big issues, but they were outside the scope of our episode, which was really focused in on energy and water usage. Those could be a whole separate episode ...
Here's that article again:
www.technologyreview.com/2025/05/20/1...
www.technologyreview.com/2025/05/20/1...
We did the math on AI’s energy footprint. Here’s the story you haven’t heard.
The emissions from individual AI text, image, and video queries seem small—until you add up what the industry isn’t tracking and consider where it’s heading next.
www.technologyreview.com
November 20, 2025 at 3:49 PM
Here's that article again:
www.technologyreview.com/2025/05/20/1...
www.technologyreview.com/2025/05/20/1...
Oh yes! Via the MIT piece: "As conversations with experts and AI companies made clear, inference, not training, represents an increasing majority of AI’s energy demands and will continue to do so in the near future. It’s now estimated that 80–90% of computing power for AI is used for inference."
November 20, 2025 at 3:48 PM
Oh yes! Via the MIT piece: "As conversations with experts and AI companies made clear, inference, not training, represents an increasing majority of AI’s energy demands and will continue to do so in the near future. It’s now estimated that 80–90% of computing power for AI is used for inference."
Hahah — for once, it is COMPLETELY INNOCENT
November 20, 2025 at 3:01 PM
Hahah — for once, it is COMPLETELY INNOCENT
We're listening! You can drop us a line at ScienceVsTeam at gmail if there are specific biases and holes you think we missed.
November 19, 2025 at 1:04 PM
We're listening! You can drop us a line at ScienceVsTeam at gmail if there are specific biases and holes you think we missed.
Check out @caseycrownhart.bsky.social and @jamesmodonnell.bsky.social's project at @technologyreview.com here: www.technologyreview.com/2025/05/20/1...
We did the math on AI’s energy footprint. Here’s the story you haven’t heard.
The emissions from individual AI text, image, and video queries seem small—until you add up what the industry isn’t tracking and consider where it’s heading next.
www.technologyreview.com
November 13, 2025 at 12:43 PM
Check out @caseycrownhart.bsky.social and @jamesmodonnell.bsky.social's project at @technologyreview.com here: www.technologyreview.com/2025/05/20/1...
Oooof, hope you're doing well now!
We have done an episode on veganism — not specifically Omega 3s
open.spotify.com/episode/3trK...
We have done an episode on veganism — not specifically Omega 3s
open.spotify.com/episode/3trK...
Vegans: Are They Right?
open.spotify.com
November 7, 2025 at 6:08 PM
Oooof, hope you're doing well now!
We have done an episode on veganism — not specifically Omega 3s
open.spotify.com/episode/3trK...
We have done an episode on veganism — not specifically Omega 3s
open.spotify.com/episode/3trK...