Tootfinder

🇺🇦 #NowPlaying on KEXP's #MorningShow
Pretty Bitter:
🎵 Outer Heaven Dude Ranch
#PrettyBitter
https://prettybitter.bandcamp.com/track/outer-heaven-dude-ranch
https://open.spotify.com/track/32S4UTJzF0XzYwkWApK2TL

Okay, time to continue bashing. Perhaps this one project is just that bad, but Conan sounds like a complete antithesis of what a package manager is all about.
Well, this package insists to build its dependencies via Conan. Except it insists on really old versions that don't work with my glibc. So I need to start swapping dependencies.
Except it turns out Conan doesn't care much about resolving dependencies. So I actually need to start adjust versions of the dependencies of packages that it wants to build. And then it starts rebuilding other stuff and again everything fails because of incompatible versions.
And when I finally manage to find a working set, the actual project fails over protobuf version. After a long WTF-ing, I finally realize that it's complaining, because it somehow managed to mix the version of protobuf built by Conan and the external protobuf installed by Conda.
So yeah, great job. A package manager that doesn't really resolve dependencies but instead forces a dependency hell on you, and on top of that ends up mixing system packages with its own packages.

little known fediverse tip: you can follow @PeerTube@<peertube instance> to get a feed of all videos on that instance! for instance, @…'s PeerTube instance is @…

Multi-objective Portfolio Optimization Via Gradient Descent
Christian Oliva, Pedro R. Ventura, Luis F. Lago-Fern\'andez
https://arxiv.org/abs/2507.16717 https://

Multi-objective Portfolio Optimization Via Gradient Descent
Traditional approaches to portfolio optimization, often rooted in Modern Portfolio Theory and solved via quadratic programming or evolutionary algorithms, struggle with scalability or flexibility, especially in scenarios involving complex constraints, large datasets and/or multiple conflicting objectives. To address these challenges, we introduce a benchmark framework for multi-objective portfolio optimization (MPO) using gradient descent with automatic differentiation. Our method supports any …

A deep Search for Ethylene Glycol and Glycolonitrile in the V883 Ori #Protoplanetary Disk: https://arxiv.org/abs/2507.14905 (and two slightly older papers) -> The evolution of life may have its origins in outer space: https://www.mpia.de/news/science/2025-05-v881-ori - astronomers find signs of complex organic molecules (precursors to sugars and amino acids) in a planet-forming disc.

Stop Killing Games: A History
#StopKillingGames

Feasibility of interferometric observations and characterization of planet-induced structures at sub au to au scales in protoplanetary disks
Lukas Hildebrandt, Anton Krieger, Hubert Klahr, Julia Kobus, Alexander Bensberg, Sebastian Wolf
https://arxiv.org/abs/2506.17024

Feasibility of interferometric observations and characterization of planet-induced structures at sub au to au scales in protoplanetary disks
Interferometric observations of protoplanetary disks by VLTI and ALMA have greatly improved our understanding of the detailed structure of these planetary birthplaces. These observations have revealed a variety of large-scale disk substructures, including rings, gaps, and spirals, spanning tens to hundreds of au, supporting the predictions of planet formation models. Recent instruments, such as MATISSE at the VLTI, allow one to resolve and investigate the inner few au of protoplanetary disks in…

On the Zoom H1n "Handy" Field Recorder: Review - Finally time to get my own portable audio recorder! - https://www.earth.org.uk/note-on-Zoom-H1n-field-recorder.html

On the Zoom H1n Handy Field Recorder: Review
Finally time to get my own portable audio recorder!

Wealthfront, which uses AI to build investment portfolios, confidentially files for a US IPO; it was valued at $1.4B in 2022 during a failed acquisition by UBS (Prakhar Srivastava/Reuters)
https://www.reuters.com/technology/wealthf

Adaptive Multi-task Learning for Multi-sector Portfolio Optimization
Qingliang Fan, Ruike Wu, Yanrong Yang
https://arxiv.org/abs/2507.16433 https://…

Adaptive Multi-task Learning for Multi-sector Portfolio Optimization
Accurate transfer of information across multiple sectors to enhance model estimation is both significant and challenging in multi-sector portfolio optimization involving a large number of assets in different classes. Within the framework of factor modeling, we propose a novel data-adaptive multi-task learning methodology that quantifies and learns the relatedness among the principal temporal subspaces (spanned by factors) across multiple sectors under study. This approach not only improves the …