Tootfinder

🇺🇦 #NowPlaying on KEXP's #VarietyMix
clipping.:
🎵 Dominator
#clipping
https://breakmastercylinder.bandcamp.com/track/clipping-dominator-breakmaster-cylinder-remix
https://open.spotify.com/track/18YinpCHlLGQW32APCeiSA

I just noticed Deque changed its logo from the combined ‘D’ and ‘Q’ letterform (visually representing the pronunciation) to the ‘AI’ anus (or “AInus”) of the big LLM purveyors.
I bet this was for Deque’s 100% WCAG ‘AI’ coverage, which must be getting released today to honor its March promise.

clipping.: Tiny Desk Concert
https://www.youtube.com/watch?v=h0-k7vW9Xek

🇺🇦 #NowPlaying on KEXP's #VarietyMix
clipping. feat. Cartel Madras:
🎵 Mirrorshades Pt. 2
#clipping #CartelMadras
https://open.spotify.com/track/00futIPUl8yu9s0w3idsz4

🇺🇦 #NowPlaying on KEXP's #VarietyMix
clipping.:
🎵 Keep Pushing
#clipping
https://clppng.bandcamp.com/track/keep-pushing
https://open.spotify.com/track/3ZyfKvS2z4so0qtoudfyI0

🇺🇦 #NowPlaying on #BBC6Music's #LaurenLaverne
clipping.:
🎵 Forever War
#clipping
https://clppng.bandcamp.com/track/forever-war
https://open.spotify.com/track/4ESUcHK2APuAcwWaa3caPj

As if clipping weekend penalties weren’t enough, consumers are now expected to subsidise #WageTheft like they do in the US? https://eigenmagic.net/@NewtonMark/115754528898615607

Second-order Optimization under Heavy-Tailed Noise: Hessian Clipping and Sample Complexity Limits
Abdurakhmon Sadiev, Peter Richt\'arik, Ilyas Fatkhullin
https://arxiv.org/abs/2510.10690

Second-order Optimization under Heavy-Tailed Noise: Hessian Clipping and Sample Complexity Limits
Heavy-tailed noise is pervasive in modern machine learning applications, arising from data heterogeneity, outliers, and non-stationary stochastic environments. While second-order methods can significantly accelerate convergence in light-tailed or bounded-noise settings, such algorithms are often brittle and lack guarantees under heavy-tailed noise -- precisely the regimes where robustness is most critical. In this work, we take a first step toward a theoretical understanding of second-order opt…

dub: a step by step guide, by dennis matumbi/bovell, december '77, via this wonderful stack of '70s #reggae & #dub coverage posted by @…

Did you know it's possible for two lines to appear to diverge in a 2D perspective view, but actually converge in 3D? Kind of the opposite of parallel lines in 3D converging in 2D.
I discovered this while trying to implement a clipping algorithm. At first I didn't believe it was possible, it felt so foreign to everyday experience. It actually happens whenever two lines converge behind the center of projection, but we rarely see that IRL.
(Image rendered from pov of came…

I'm getting myself so annoyed by something that really shouldn't get to me. Lost story short: a neighbour passed away a few months ago - a really lovely guy.
Whenever we spoke, he didn't really talk about his family, although we knew he was divorced and had children, one of which very occasionally visited. He talked about his hobbies, his previous work, and his dog, who had also passed a few months before him.
So, what's grating me? His children are now sorting out his house and possessions and they've parked their massive 4x4s on the front lawn he took so much pride in. Like, not just clipping it at the edge with their wheels, but properly parked over the grass. He didn't have much of a garden, but it was always taken care of. I've also noticed how his Mercedes was the first thing that got the most attention. It just feels so disrespectful it's kinda upsetting.

Nonlinearly Preconditioned Gradient Methods: Momentum and Stochastic Analysis
Konstantinos Oikonomidis, Jan Quan, Panagiotis Patrinos
https://arxiv.org/abs/2510.11312 https://…

Nonlinearly Preconditioned Gradient Methods: Momentum and Stochastic Analysis
We study nonlinearly preconditioned gradient methods for smooth nonconvex optimization problems, focusing on sigmoid preconditioners that inherently perform a form of gradient clipping akin to the widely used gradient clipping technique. Building upon this idea, we introduce a novel heavy ball-type algorithm and provide convergence guarantees under a generalized smoothness condition that is less restrictive than traditional Lipschitz smoothness, thus covering a broader class of functions. Addit…

🇺🇦 #NowPlaying on KEXP's #Early
clipping.:
🎵 Change the Channel
#clipping
https://clppng.bandcamp.com/track/change-the-channel
https://open.spotify.com/track/4M29o61giZq1UhrqnZRHSf

🇺🇦 #NowPlaying on #BBC6Music's #HuwStephens
clipping.:
🎵 Change The Channel
#clipping
https://clppng.bandcamp.com/track/change-the-channel
https://open.spotify.com/track/4M29o61giZq1UhrqnZRHSf

Accelerated stochastic first-order method for convex optimization under heavy-tailed noise
Chuan He, Zhaosong Lu
https://arxiv.org/abs/2510.11676 https://a…

Accelerated stochastic first-order method for convex optimization under heavy-tailed noise
We study convex composite optimization problems, where the objective function is given by the sum of a prox-friendly function and a convex function whose subgradients are estimated under heavy-tailed noise. Existing work often employs gradient clipping or normalization techniques in stochastic first-order methods to address heavy-tailed noise. In this paper, we demonstrate that a vanilla stochastic algorithm -- without additional modifications such as clipping or normalization -- can achieve op…

🇺🇦 #NowPlaying on #KEXP's #MiddayShow
clipping. feat. Cartel Madras:
🎵 Mirrorshades Pt. 2
#clipping #CartelMadras
https://open.spotify.com/track/00futIPUl8yu9s0w3idsz4