Researchers detail All-Topographic Neural Networks, claiming they better mimic human spatial biases and consume less energy than other machine vision networks (Matthew S. Smith/IEEE Spectrum)
https://spectrum.ieee.org/topographic-neural-network
An interview with Judd Legum about his Substack Popular Information, which has three reporting staff and 20K paying subs, with an estimated $1M annual revenue (Matt Smith/Press Gazette)
https://pressgazette.co.uk/newsletters/substack-ju…
The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction
Beibei Li
https://arxiv.org/abs/2507.05584 https://
Differential Spectrum and Boomerang Spectrum of Some Power Mapping
Yuehui Cui, Jinquan Luo
https://arxiv.org/abs/2506.05738 https://a…
An accurate measurement of the spectral resolution of the JWST Near Infrared Spectrograph
Anowar J. Shajib, Tommaso Treu, Alejandra Melo, Shawn Knabel, Michele Cappellari, Joshua A. Frieman
https://arxiv.org/abs/2507.03746
Spectral Tur\'{a}n problem for $\mathcal{{K}}_{3,3}^{-}$-free signed graphs
Mingsong Qin, Dan Li
https://arxiv.org/abs/2508.05500 https://arxiv.org/pdf…
What can we do now?
"7. Urge friends, relatives, and acquaintances to avoid Trump propaganda outlets such as Fox News, Newsmax, X, and, increasingly, Facebook and Instagram."
https://robertreich.substack.com/p/what-you-can-do-f3d
via
Apple researchers detail the limitations of top LLMs and large reasoning models, like o3, especially on problems of medium to high complexity (Gary Marcus/Marcus on AI)
https://garymarcus.substack.com/p/a-knockout-blow-for-llms