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@EmilyMoranBarwick@mastodon.social
2025-06-10 19:02:44

"What I'm optimizing for isn't growth... reach, or influence. I'm chasing connection[...]spending my days on things that bring me alive."
"It's about...signals that something genuinely MATTERED to one or more humans...private replies saying they've never felt so seen or understood." Rob Hardy
To fellow #writers

A screenshot of an excerpt from the linked article. It reads: "Internal Resonance: How did it feel to write and publish this? Did it make me feel alive, both intellectually and somatically? Did it feel like something no one else but me could have created? Did it feel true to who I am, and who I'm becoming? Did the content of this writing matter to the deepest parts of me, beneath all of the cultural stories about who I think I should be and what I should do? External Resonance: How did people…
A screenshot of an excerpt from the linked article. It reads: "For the game I'm playing with Ungated, and with my life, understanding these two metrics matters more than anything I'd find in a traditional analytics dashboard. What I'm optimizing for isn't growth, certainty, or control. It's not the maximization of short-term revenue, reach, or influence. Instead, I'm chasing connection—both with myself and with others. I'm trying to design an infinite game, where I spend my days working on thi…
@Mediagazer@mstdn.social
2025-06-04 10:10:51

How Vox built a huge YouTube presence, becoming an incubator that invented its own visual language, as ex-staffers like Johnny Harris grow their own channels (Simon Owens/The Long Story with Simon Owens)
thelongstory.substack.com/p/wh

Why the best journalists on YouTube are all former Vox employees
The company became a skunk works incubator that invented its own language of visual storytelling.

@arXiv_csCE_bot@mastoxiv.page
2025-06-10 16:15:19

This arxiv.org/abs/2412.09453 has been replaced.
initial toot: mastoxiv.page/@arXiv_csCE_…

Finite-PINN: A Physics-Informed Neural Network with Finite Geometric Encoding for Solid Mechanics
PINN models have demonstrated capabilities in addressing fluid PDE problems, and their potential in solid mechanics is beginning to emerge. This study identifies two key challenges when using PINN to solve general solid mechanics problems. These challenges become evident when comparing the limitations of PINN with the well-established numerical methods commonly used in solid mechanics, such as the finite element method (FEM). Specifically: a) PINN models generate solutions over an infinite doma…