Tootfinder

Series B, Episode 10 - Voice from the Past
BLAKE: [V.O.] It's only a couple of years since it was abandoned. Under terms of the interplanetary mining agreement the company was bound by law to leave fuel and other...
VILA: Blake, you alright?
https://blake.torpidity.net/m/210/272 B7…

RE: https://mastodon.social/@jockr/115924111507057837
"End-of-year filings reveal that in 2024 the trust invested $254m in companies that extract fossil fuels such as Chevron, BP and Shell. This was a nine-year record and up 21% from 2016, Guardian anal…

Electrotech, not fossil fuels, will power the future
During a recent parliamentary committee meeting, Bloc Quebecois MP Patrick Bonin grilled Alberta Premier Danielle Smith about climate change. Her answers were evasive — although she conceded that the planet is warming. Bonin asked if she thought humans were the main factor in Earth’s recent heating. “I don't know the answer to that. I'm not a scientist,” she replied.
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Another great year in music! The Tidal rewind looks great this year.
#music

People will be asking about this article. Some comments follow in a thread.
Economic growth no longer linked to carbon emissions in most of the world, study finds | Fossil fuels | The Guardian https://www.theguardian.com/environment/…

Global Convergence of Four-Layer Matrix Factorization under Random Initialization
Minrui Luo, Weihang Xu, Xiang Gao, Maryam Fazel, Simon Shaolei Du
https://arxiv.org/abs/2511.09925 https://arxiv.org/pdf/2511.09925 https://arxiv.org/html/2511.09925
arXiv:2511.09925v1 Announce Type: new
Abstract: Gradient descent dynamics on the deep matrix factorization problem is extensively studied as a simplified theoretical model for deep neural networks. Although the convergence theory for two-layer matrix factorization is well-established, no global convergence guarantee for general deep matrix factorization under random initialization has been established to date. To address this gap, we provide a polynomial-time global convergence guarantee for randomly initialized gradient descent on four-layer matrix factorization, given certain conditions on the target matrix and a standard balanced regularization term. Our analysis employs new techniques to show saddle-avoidance properties of gradient decent dynamics, and extends previous theories to characterize the change in eigenvalues of layer weights.
toXiv_bot_toot

Fossil-fuel billionaires bought up millions of shares after meeting with top Trump officials (Nina Lakhani/The Guardian)
https://www.theguardian.com/business/2025/dec/04/venture-global-shares
http://www.memeorandum.com/251204/p47#a251204p47

Why are all photos beginning to look like AI slopp?

Fickle Friends - Bleach (Official Video)
#music

Love last.fm so much. Their yearly wrapup is so fun.
Love this list of top artists.
#music