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In the spring and summer of 2008, when Donald Trump was still a registered Democrat,
an anonymous blogger known as Mencius Moldbug posted a serial manifesto under the heading
“An Open Letter to Open-Minded Progressives.”
Written with the sneering disaffection of an ex-believer,
the hundred-and-twenty-thousand-word letter argued that egalitarianism,
far from improving the world,
was actually responsible for most of its ills.
That his bien-pensant re…

Curtis Yarvin’s Plot Against America
A Profile of Curtis Yarvin, the right-wing thinker behind the Substack “Gray Mirror,” who has been embraced by J. D. Vance, Marc Andreessen, Peter Thiel, and other supporters of Donald Trump. Ava Kofman reports.

This https://arxiv.org/abs/2409.08335 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Mixed precision iterative refinement for linear inverse problems
This study investigates the iterative refinement method applied to the solution of linear discrete inverse problems by considering its application to the Tikhonov problem in mixed precision. Previous works on mixed precision iterative refinement methods for the solution of symmetric positive definite linear systems and least-squares problems have shown regularization to be a key requirement when computing low precision factorizations. For problems that are naturally severely ill-posed, we formu…

This https://arxiv.org/abs/2307.01916 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Maximizing Seaweed Growth on Autonomous Farms: A Dynamic Programming Approach for Underactuated Systems Navigating on Uncertain Ocean Currents
Seaweed biomass presents a substantial opportunity for climate mitigation, yet to realize its potential, farming must be expanded to the vast open oceans. However, in the open ocean neither anchored farming nor floating farms with powerful engines are economically viable. Thus, a potential solution are farms that operate by going with the flow, utilizing minimal propulsion to strategically leverage beneficial ocean currents. In this work, we focus on low-power autonomous seaweed farms and desig…

Resilient Pattern Mining
Pengxin Bian, Panagiotis Charalampopoulos, Lorraine A. K. Ayad, Manal Mohamed, Solon P. Pissis, Grigorios Loukides
https://arxiv.org/abs/2506.04935

Resilient Pattern Mining
Frequent pattern mining is a flagship problem in data mining. In its most basic form, it asks for the set of substrings of a given string $S$ of length $n$ that occur at least $τ$ times in $S$, for some integer $τ\in[1,n]$. We introduce a resilient version of this classic problem, which we term the $(τ, k)$-Resilient Pattern Mining (RPM) problem. Given a string $S$ of length $n$ and two integers $τ, k\in[1,n]$, RPM asks for the set of substrings of $S$ that occur at least $τ$ times in $S$,…

A single paragraph buried deep in a spending bill that passed the GOP-controlled House of Representatives earlier this month is causing growing concern among democracy watchdogs
-- who warn the provision will make it so only the well-to-do would be in a good position to launch legal challenges against a Trump administration that has shown over and over again its disdain and disregard for oversight or judicial restraint of any kind.
Coming just about half-way through what Presiden…

'This Is What Autocrats Do': Concern Grows Over Single Paragraph Buried Deep in GOP Bill | Common Dreams
The provision would force those challenging Trump "to pay up in the form of a posted bond—something many people can't afford to do. That means only the wealthy will be able to even attempt to challenge the most powerful man in the country."

A Review of Various Datasets for Machine Learning Algorithm-Based Intrusion Detection System: Advances and Challenges
Sudhanshu Sekhar Tripathy, Bichitrananda Behera
https://arxiv.org/abs/2506.02438

A Review of Various Datasets for Machine Learning Algorithm-Based Intrusion Detection System: Advances and Challenges
IDS aims to protect computer networks from security threats by detecting, notifying, and taking appropriate action to prevent illegal access and protect confidential information. As the globe becomes increasingly dependent on technology and automated processes, ensuring secured systems, applications, and networks has become one of the most significant problems of this era. The global web and digital technology have significantly accelerated the evolution of the modern world, necessitating the u…

Every tech oligarch wants to build an Everything App - because they now have the power to do so, but also because they're completely out of ideas.
This week's issue of my newsletter tackles the rise of the "data-driven" Nothing Manager responsible for building Everything, with the "power" of #GenAI.

The Everything App is a symptom of Nothing Management (part 1)
Leaders who surrender their point of view inevitably arrive at the same conclusion: we must solve every problem for every user. This approach demolishes the possibility of real impact.

"We think of generating source code from a prompt as an AI-powered feature of modern IDEs, but the general problem has a rich history in research efforts and domain-specific programming systems." Join William Benton at this year's Berlin Buzzwords to hear him talk about the history of program synthesis, its relationship to the history of AI, and the lessons we can learn from it today.
Learn more:

This https://arxiv.org/abs/2506.00704 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Nonlinear Optimal Recovery in Hilbert Spaces
This paper investigates solution strategies for nonlinear problems in Hilbert spaces, such as nonlinear partial differential equations (PDEs) in Sobolev spaces, when only finite measurements are available. We formulate this as a nonlinear optimal recovery prob- lem, establishing its well-posedness and proving its convergence to the true solution as the number of measurements increases. However, the resulting formulation might not have a finite-dimensional solution in general. We thus present a …