Tootfinder

Obvio, which uses AI-powered stop sign cameras to detect infractions, raised a $22M Series A led by Bain to expand beyond its first five cities in Maryland (Sean O'Kane/TechCrunch)
https://techcrunch.com/2025/06/04/obvios-stop-sign…

Obvio’s stop sign cameras use AI to root out unsafe drivers | TechCrunch
American streets are incredibly dangerous for pedestrians. A San Carlos, California-based startup called Obvio thinks it can change that by installing cameras at stop signs -- a solution the founders also say won’t create a panopticon. 

Politically driven "focus on special features over ensuring affordable housing money is stretched as far as possible" is one part of this, and same thing happens in transit:
* Electric buses don't work as well as electric cars, yet we make bus riders pay for electrification with less service, and don't require drivers to use electric cars.
* Fancy stops for "BRT" buses that offer infrequent service.
Etc Etc

These publicly funded homes for the poor cost $1.2 million each to build
Costs to house the poor are approaching, and sometimes exceeding, $1 million per unit in cities across the country, including D.C., L.A., and Chicago.

What Drives Team Success? Large-Scale Evidence on the Role of the Team Player Effect
Nico Elbert, Alicia von Schenk, Fabian Kosse, Victor Klockmann, Nikolai Stein, Christoph Flath
https://arxiv.org/abs/2506.04475

What Drives Team Success? Large-Scale Evidence on the Role of the Team Player Effect
Effective teamwork is essential in structured, performance-driven environments, from professional organizations to high-stakes competitive settings. As tasks grow more complex, achieving high performance requires not only technical proficiency but also strong interpersonal skills that allow individuals to coordinate effectively within teams. While prior research has identified social skills and familiarity as key drivers of team success, their joint effects -- particularly in temporary teams --…

Definitely not under the radar in Toronto, I see their logo everywhere, both on restaurants and drivers.
Didn’t know it was a delivery app from Vancouver
#fantuan #buycanadian

This https://arxiv.org/abs/2404.06432 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Missing Pieces: How Do Designs that Expose Uncertainty Longitudinally Impact Trust in AI Decision Aids? An In Situ Study of Gig Drivers
Decision aids based on artificial intelligence (AI) induce a wide range of outcomes when they are deployed in uncertain environments. In this paper, we investigate how users' trust in recommendations from an AI decision aid is impacted over time by designs that expose uncertainty in predicted outcomes. Unlike previous work, we focus on gig driving - a real-world, repeated decision-making context. We report on a longitudinal mixed-methods study ($n=51$) where we measured gig drivers' trust as th…

Tesla Superchargers are being removed from the N.J. Turnpike
as the state opts for third-party EV chargers
NJTA has asked Elon Musk’s EV company to remove 64 existing chargers from the busy thoroughfare.
Tesla drivers aren’t happy
https://www.fastc…

Tesla Superchargers are being removed from the N.J. Turnpike as state opts for third-party EV chargers
After reaching a third-party deal, the state has asked Elon Musk's EV company to remove 64 existing chargers from the busy thoroughfare.

Active inference as a unified model of collision avoidance behavior in human drivers
Julian F. Schumann, Johan Engstroem, Leif Johnson, Matthew O'Kelly, Joao Messias, Jens Kober, Arkady Zgonnikov
https://arxiv.org/abs/2506.02215

Active inference as a unified model of collision avoidance behavior in human drivers
Collision avoidance -- involving a rapid threat detection and quick execution of the appropriate evasive maneuver -- is a critical aspect of driving. However, existing models of human collision avoidance behavior are fragmented, focusing on specific scenarios or only describing certain aspects of the avoidance behavior, such as response times. This paper addresses these gaps by proposing a novel computational cognitive model of human collision avoidance behavior based on active inference. Activ…

Phase separation in a mixture of proliferating and motile active matter
Lukas Hupe, Joanna M. Materska, David Zwicker, Ramin Golestanian, Bartlomiej Waclaw, Philip Bittihn
https://arxiv.org/abs/2506.05288

Phase separation in a mixture of proliferating and motile active matter
Proliferation and motility are ubiquitous drivers of activity in biological systems. Here, we study a dense binary mixture of motile and proliferating particles with exclusively repulsive interactions, where homeostasis in the proliferating subpopulation is maintained by pressure-induced removal. Using computer simulations, we show that phase separation emerges naturally in this system at high density and weak enough self-propulsion. We show that condensation is caused by interactions between m…

What does making money have to do with crime?: A dive into the National Crime Victimization survey
Sydney Anuyah
https://arxiv.org/abs/2506.04240 https://

What does making money have to do with crime?: A dive into the National Crime Victimization survey
In this short article, I leverage the National Crime Victimization Survey from 1992 to 2022 to examine how income, education, employment, and key demographic factors shape the type of crime victims experience (violent vs property). Using balanced classification splits and logistic regression models evaluated by F1-score, there is an isolation of the socioeconomic drivers of victimization "Group A" models and then an introduction of demographic factors such as age, gender, race, and marital stat…

OH on slack:
#cybertrucKKK #swastikar #tesla