Tootfinder

Anthropic details the AI Fluency Index, tracking 11 behaviors that represent human-AI collaboration and measure how people collaborate with AI (Anthropic)
https://www.anthropic.com/research/AI-fluency-index

Anthropic Education Report: The AI Fluency Index
Anthropic's AI Fluency Index measures 11 observable behaviors across thousands of Claude.ai conversations to understand how people develop AI collaboration skills.

RE: https://fediscience.org/@Ruth_Mottram/116455909974691993
And now on to the next paper*:
the deadline for which is Tuesday...
🤦‍♀️
*Revisions following review this time only, thankfully.

Replaced article(s) found for math.SG. https://arxiv.org/list/math.SG/new
[1/1]:
- Symplectic foliated fillings of sphere cotangent bundles
Francisco Presas, Sushmita Venugopalan
https://arxiv.org/abs/1809.10363
- Instability of Legendrian knottedness, and non-regular Lagrangian concordances of knots
Georgios Dimitroglou Rizell, Roman Golovko
https://arxiv.org/abs/2409.00290 https://mastoxiv.page/@arXiv_mathSG_bot/113078258814855540
- Floer homotopy theory and degenerate Lagrangian intersections
Kenneth Blakey
https://arxiv.org/abs/2410.11478 https://mastoxiv.page/@arXiv_mathSG_bot/113316098418952654
- Slices for reductive group actions in algebraic and holomorphic symplectic geometry
Peter Crooks, Rebecca Goldin, Yiannis Loizides
https://arxiv.org/abs/2512.02956 https://mastoxiv.page/@arXiv_mathSG_bot/115654549153065527
- On the symplectic geometry of branched hyperbolic surfaces in genus two
Gianluca Faraco, Arnaud Maret
https://arxiv.org/abs/2511.23323 https://mastoxiv.page/@arXiv_mathGT_bot/115643648617235810
- Open-Closed String Field Theory from Calabi-Yau Categories and its Applications to Enumerative Ge...
Jakob Ulmer
https://arxiv.org/abs/2603.18186 https://mastoxiv.page/@arXiv_mathQA_bot/116260383969858357
toXiv_bot_toot

Primer to get you started with Optimization and Mathematical Programming in R #rstats

CRAN Task View: Optimization and Mathematical Programming
This CRAN Task View contains a list of packages that offer facilities for solving optimization problems. Although every regression model in statistics solves an optimization problem, they are not part of this view. If you are looking for regression methods, the following views will also contain useful starting points: MachineLearning, Econometrics, Robust Packages are categorized according to the following sections. See also the “Related Links” and “Other Resources” sections at the end.

Debian Hint #25: The 'debian-reference' package contains a wide variety
of reference documents for Debian users and developers. Most of the
information can also be found at the following URL:
https://www.debian.org/doc/manuals/reference

KI-Boom: SpaceX sieht einen 28,5 Billionen US-Dollar großen Markt für sich
SpaceX bereitet den eigenen Börsengang vor. Im S-1-IPO-Filing spricht das Unternehmen von Elon Musk wohl von einem gigantischen Markt, der zu erschließen ist.

🥨 Biofilm streamers harden under flow, making bacterial infections harder to treat
https://phys.org/news/2026-01-biofilm-streamers-harden-bacterial-infections.html

Biofilm streamers harden under flow, making bacterial infections harder to treat
Whether in the human body or on surfaces, bacteria protect themselves from outside attackers using biofilms. Physicist Eleonora Secchi is researching how these slime-like protective films are formed, with the aim of making it easier to remove pathogenic bacteria.

'Shame!': Delta Air Lines Faces Boycott Threat After Flying 5-Year-old to Detention Center, Then Makes a Move That Will Make Congress Regret Government Shutdown
https://atlantablackstar.com/2026/03/24/delta-air-lines-faces-threat-of-boycott-after-flying-5-year-old-to-detention-center/

Heute ist wieder Barcamp Flensburg!
#bcfl #bcfl26

{purrr} has some lesser known functions that make handling of failing function calls easier: safely, quietly, possibly: #rstats

Wrap a function to capture errors — safely
Creates a modified version of .f that always succeeds. It returns a list with components result and error. If the function succeeds, result contains the returned value and error is NULL. If an error occurred, error is an error object and result is either NULL or otherwise.