Tootfinder

As one who studied the development and growth of cities, the passage of this measure has caused me to wonder how short sighted are some programs to increase housing stocks.
Like rent control, which over decades can erase rental property availability, this measure will slowly nudge builders to locate new single family home construction outside of our city limits. (The average single family home price in our area is among the highest in the US.)
I am less clear about the impact on…

Election 2025: Santa Cruz affordable housing advocates celebrate win on Measure C
Santa Cruz voters have approved Measure C, the housing advocate-supported ballot initiative, with more than 53% of the vote, while the competing Measure B, supported by local real estate interests, failed with just 11.9%. County officials continue counting ballots, with the next update on Friday at 4 p.m.

Exploring the Viability of the Updated World3 Model for Examining the Impact of Computing on Planetary Boundaries
Nara Guliyeva, Eshta Bhardwaj, Christoph Becker
https://arxiv.org/abs/2510.07634

Exploring the Viability of the Updated World3 Model for Examining the Impact of Computing on Planetary Boundaries
The influential Limits to Growth report introduced a system dynamics-based model to demonstrate global dynamics of the world's population, industry, natural resources, agriculture, and pollution between 1900-2100. In current times, the rapidly expanding trajectory of data center development, much of it linked to AI, uses increasing amounts of natural resources. The extraordinary amount of resources claimed warrants the question of how computing trajectories contribute to exceeding planetary bou…

Uniqueness of the asymptotic limits for Ricci-flat manifolds with linear volume growth
Zetian Yan, Xingyu Zhu
https://arxiv.org/abs/2510.00420 https://arxi…

Uniqueness of the asymptotic limits for Ricci-flat manifolds with linear volume growth
Under natural assumptions on curvature and cross section, we establish the uniqueness of asymptotic limits and the exponential convergence rate for complete noncollapsed Ricci-flat manifolds with linear volume growth, which are known to only admit cylindrical asymptotic limits. In dimension four, these assumptions hold automatically, yielding unconditional uniqueness and convergence. In particular, our results show that all asymptotically cylindrical Calabi--Yau manifolds converge exponentially…

Riesz fractional gradient functionals defined on partitions: nonlocal-to-local variational limits
Almi Stefano, Maicol Caponi, Manuel Friedrich, Francesco Solombrino
https://arxiv.org/abs/2510.04881

Riesz fractional gradient functionals defined on partitions: nonlocal-to-local variational limits
This paper addresses the asymptotics of functionals with linear growth depending on the Riesz $s$-fractional gradient on piecewise constant functions. We consider a general class of varying energy densities and, as $s\to 1$, we characterize their local limiting functionals in the sense of $Γ$-convergence.

Mean-field limits in interacting particle systems with symmetric superlinear rates
Angeliki Koutsimpela
https://arxiv.org/abs/2509.19617 https://arxiv.org/…

Mean-field limits in interacting particle systems with symmetric superlinear rates
We derive the exchange-driven growth (EDG) equations as the mean-field limit of interacting particle systems on the complete graph. Extending previous work, we consider symmetric exchange kernels $c(k, l) = c(l, k)$ satisfying super-linear bounds of the form $c(k, l) \leq C(k^μl^ν + k^νl^μ)$, with $0 \leq μ, ν\leq 2$ and $μ+ ν\leq 3$. Under these conditions the EDG equations are known to have global solutions. We establish a law of large numbers for the empirical measures, showing that …

From GPUs to RRAMs: Distributed In-Memory Primal-Dual Hybrid Gradient Method for Solving Large-Scale Linear Optimization Problem
Huynh Q. N. Vo, Md Tawsif Rahman Chowdhury, Paritosh Ramanan, Gozde Tutuncuoglu, Junchi Yang, Feng Qiu, Murat Yildirim
https://arxiv.org/abs/2509.21137

From GPUs to RRAMs: Distributed In-Memory Primal-Dual Hybrid Gradient Method for Solving Large-Scale Linear Optimization Problem
The exponential growth of computational workloads is surpassing the capabilities of conventional architectures, which are constrained by fundamental limits. In-memory computing (IMC) with RRAM provides a promising alternative by providing analog computations with significant gains in latency and energy use. However, existing algorithms developed for conventional architectures do not translate to IMC, particularly for constrained optimization problems where frequent matrix reprogramming remains …

Moravec's Paradox and Restrepo's Model: Limits of AGI Automation in Growth
Marc Bara
https://arxiv.org/abs/2509.24466 https://arxiv.org/pdf/2509.24…

Moravec's Paradox and Restrepo's Model: Limits of AGI Automation in Growth
This note extends Restrepo (2025)'s model of economic growth under AGI by incorporating Moravec's Paradox -the observation that tasks requiring sensorimotor skills remain computationally expensive relative to cognitive tasks. We partition the task space into cognitive and physical components with differential automation costs, allowing infinite costs for some physical bottlenecks. Our key result shows that when physical tasks constitute economic bottlenecks with sufficiently high (or infinite) …