Tootfinder

{testthat} is great for automatic testing. Here are some tricks for the heavy user: #rstats

In its December 2023 lawsuit against OpenAI, The New York Times produced dozens of examples where GPT-4 exactly reproduced significant passages from Times stories.
In its response, OpenAI described this as a “fringe behavior” and a “problem that researchers at OpenAI and elsewhere work hard to address.”
But is it actually a fringe behavior?
And have leading AI companies addressed it? 
New research—focusing on books rather than newspaper articles and on different compa…

Study: Meta AI model can reproduce almost half of Harry Potter book
The research could have big implications for generative AI copyright lawsuits.

🇺🇦 #NowPlaying on BBCRadio3's #LateJunction
Ancient Psychic Triple Hyper Octopus:
🎵 Drinking songs on the Quaidacadondish
#AncientPsychicTripleHyperOctopus

Quick, can you tell the difference between #dotnet

🇺🇦 #NowPlaying on KEXP's #StreetSounds
Marcia Griffiths:
🎵 Electric Boogie
#MarciaGriffiths
https://nicolefiallo.bandcamp.com/track/marcia-griffiths-electric-boogie-nicole-fiallo-edit
https://open.spotify.com/track/1pSYk5JHJTPJSlp7Ol798T

An introduction to Neural Networks for Physicists
G. Caf\'e de Miranda, Gubio G. de Lima, Tiago de S. Farias
https://arxiv.org/abs/2505.13042 https://

An introduction to Neural Networks for Physicists
Machine learning techniques have emerged as powerful tools to tackle various challenges. The integration of machine learning methods with Physics has led to innovative approaches in understanding, controlling, and simulating physical phenomena. This article aims to provide a practical introduction to neural network and their basic concepts. It presents some perspectives on recent advances at the intersection of machine learning models with physical systems. We introduce practical material to gu…

The 60-year-old man lying on the street, as far as anyone knew, was just a janitor hit by a drunk driver.
There was no mention of it on the local news, no obituary in the morning paper.
His name might have been Anonymous. But it wasn’t. 
His name was Peter Putnam.
He was a physicist who’d hung out with Albert Einstein, John Archibald Wheeler, and Niels Bohr,
and two blocks from the crash, in his run-down apartment, where his partner, Claude, was startled by a scr…

Finding Peter Putnam
The forgotten janitor who discovered the logic of the mind

Thanks to @… we users of #Debian #Sid are way ahead of #trixie, bu…

Super-diffusive sub-picosecond extraction of hot carriers in black phosphorous
Katsumasa Yoshioka, Taro Wakamura, Takuya Okamoto, Norio Kumada
https://arxiv.org/abs/2506.14550

Super-diffusive sub-picosecond extraction of hot carriers in black phosphorous
Harvesting hot carriers before they lose energy to the lattice is a critical route toward surpassing the conventional thermodynamic limit in optical-to-electrical (O-E) conversion. However, photocurrent from such hot carriers has remained challenging to directly detect because they equilibrate on picosecond timescales, outpacing conventional electronic measurement. Here, by employing terahertz electronics with sub-picosecond temporal resolution, we directly monitor hot-carrier-driven O-E conver…

You want #tariff in your #python packages?
TARIFF is a fantastic tool that lets you impose import tariffs on Python packages. We're going to bring manufacturing BACK to your codebase by making foreign imports more EXPENSIVE!