Tootfinder

When Brooke Nichols plugged in the data, she couldn’t comprehend what she was seeing.
The mathematician and professor of infectious diseases at Boston University had created a model to predict the human cost of the Department of Government Efficiency’s (Doge) USAid funding cuts.
As Elon Musk, the head of Doge, arrived at the White House on Friday afternoon
to be congratulated by President Trump for his work slashing the federal budget,
the number of deaths on Nichols’…

Doge cuts to USAid blamed for 300,000 deaths — most of them children
Elon Musk’s tenure running Trump’s Department of Government Efficiency has, according to the academic Brooke Nichols, caused thousands of ‘preventable deaths’

Series B, Episode 11 - Gambit
JENNA: She's right, Blake. He's led a privileged life. He's got money.
BLAKE: He's also been on the move for a long time.
JENNA: But even so, a man with his skills can always earn it.
https://blake.torpidity.net/m/211/170 B…

Blakes7Bot | Search
Companion site to the Blakes7Bot Twitter, Mastodon, and Bluesky accounts. Automated lines of Blakes 7 dialog. Includes a script search facility.

Series B, Episode 11 - Gambit
JENNA: She's right, Blake. He's led a privileged life. He's got money.
BLAKE: He's also been on the move for a long time.
JENNA: But even so, a man with his skills can always earn it.
https://blake.torpidity.net/m/211/170 B…

Blakes7Bot | Search
Companion site to the Blakes7Bot Twitter, Mastodon, and Bluesky accounts. Automated lines of Blakes 7 dialog. Includes a script search facility.

Impact of white noise on spatial navigation of people without visual cues https://www.nature.com/articles/s41598-025-03067-8 "significant implications for assistive technologies aimed at supporting mobility in individuals without vision";

Impact of white noise on spatial navigation of people without visual cues - Scientific Reports
The current study examines how multisensory cues-specifically, passive proprioception combined with white noise-affect navigation ability in the absence of visual input. The main goal was to investigate whether adding white noise, as a non-structured auditory stimulus, could enhance spatial learning and navigation in blindfolded sighted participants. Using a novel motion-tracking technology, SensFloor $$^\circledR$$ , participants completed navigation tasks under two conditions: a unisensory co…

During Trump 1.0, esp. in the aftermath of Cambridge Analytica, people demonstrated significant concerns about our data privacy. Consider how Apple & Google deployed Covid Exposure Notifs to be data protecting. During Trump 2.0, we’re witnessing an all-out destruction of our data privacy under Musk & RFK Jr as intentionally decentralized databases are illegally consolidated/appended/blended and feasted upon by crony silicon vulture backed govt contractors.

Machine Learning Interatomic Potentials: library for efficient training, model development and simulation of molecular systems
Christoph Brunken, Olivier Peltre, Heloise Chomet, Lucien Walewski, Manus McAuliffe, Valentin Heyraud, Solal Attias, Martin Maarand, Yessine Khanfir, Edan Toledo, Fabio Falcioni, Marie Bluntzer, Silvia Acosta-Guti\'errez, Jules Tilly

Machine Learning Interatomic Potentials: library for efficient training, model development and simulation of molecular systems
Machine Learning Interatomic Potentials (MLIP) are a novel in silico approach for molecular property prediction, creating an alternative to disrupt the accuracy/speed trade-off of empirical force fields and density functional theory (DFT). In this white paper, we present our MLIP library which was created with two core aims: (1) provide to industry experts without machine learning background a user-friendly and computationally efficient set of tools to experiment with MLIP models, (2) provide m…

Hybrid Wave-wind System Power Optimisation Using Effective Ensemble Covariance Matrix Adaptation Evolutionary Algorithm
Mehdi Neshat, Nataliia Y. Sergiienko, Leandro S. P. da Silva, Seyedali Mirjalili, Amir H. Gandomi, Ossama Abdelkhalik, John Boland
https://arxiv.org/abs/2505.20720

Hybrid Wave-wind System Power Optimisation Using Effective Ensemble Covariance Matrix Adaptation Evolutionary Algorithm
Floating hybrid wind-wave systems combine offshore wind platforms with wave energy converters (WECs) to create cost-effective and reliable energy solutions. Adequately designed and tuned WECs are essential to avoid unwanted loads disrupting turbine motion while efficiently harvesting wave energy. These systems diversify energy sources, enhancing energy security and reducing supply risks while providing a more consistent power output by smoothing energy production variability. However, optimisin…

During Trump 1.0, esp. in the aftermath of Cambridge Analytica, people demonstrated significant concerns about our data privacy. Consider how Apple & Google deployed Covid Exposure Notifs to be data protecting. During Trump 2.0, we’re witnessing an all-out destruction of our data privacy under Musk & RFK Jr as intentionally decentralized databases are illegally consolidated/appended/blended and feasted upon by crony silicon vulture backed govt contractors.

Coining "#malcompetence" to mean "actions & their outcomes which are consistent with incompetence but which have an overall malicious effect, especially when the incompetence manifests differently in different situations to produced de facto discrimination."
Malcompetence can run the gamut from actual intentional malice disguised to appear as incompetence, to subconsciously coordinated malicious incompetence that the perpetrator is not consciously aware of but which a less subconsciously biased person would not engage in, to truly unintentional incompetence which manifests in a pattern because of bias in oversight/attention/competence-building. These different root causes are often not distinguishable, and sometimes blend together.
<does a quick search>
Okay, so it looks like I'm not the only one to have coined this term, but I think digging into the different types is still useful.

Hybrid Wave-wind System Power Optimisation Using Effective Ensemble Covariance Matrix Adaptation Evolutionary Algorithm
Mehdi Neshat, Nataliia Y. Sergiienko, Leandro S. P. da Silva, Seyedali Mirjalili, Amir H. Gandomi, Ossama Abdelkhalik, John Boland
https://arxiv.org/abs/2505.20720

Hybrid Wave-wind System Power Optimisation Using Effective Ensemble Covariance Matrix Adaptation Evolutionary Algorithm
Floating hybrid wind-wave systems combine offshore wind platforms with wave energy converters (WECs) to create cost-effective and reliable energy solutions. Adequately designed and tuned WECs are essential to avoid unwanted loads disrupting turbine motion while efficiently harvesting wave energy. These systems diversify energy sources, enhancing energy security and reducing supply risks while providing a more consistent power output by smoothing energy production variability. However, optimisin…