Tootfinder

In Jason Henderson's 2013 book Street Fight he writes of SF transportation politics as a function of 3 factions: conservatives, neoliberals, progressives. How the street fights go depends on how those factions align. If you slot in YIMBYish urbanist types—those who are pro-bike, pro-business, believe that Dean Preston was blocking housing—as the neoliberals, this holds up surprisingly well today.

Canadians: Replace Ardern with Trudeau and use other Canadian touchstones in place of #nzpol and you have an accurate article for Canada.
Which should speak to what Progressives actually need to do here, and everywhere.
"Ardern’s leadership has often been described as emotionally intelligent, compassionate, and people-centred. But compassion is not liberation. Empathy alone does not redistribute wealth, dismantle police power, or decommodify housing. What Ardern perfected was a mode of governance that couched neoliberalism in progressive language. A style of leadership that appeared anti-fascist, anti-racist, and feminist, while presiding over deepening inequality, mass incarceration of Māori, ongoing colonisation, environmental destruction, and a housing system that serves landlords and property speculators.
Ardern’s “politics of kindness” masked a status quo commitment to capitalism and state power. Her government’s housing policies floundered under the weight of market logic. Despite the crisis of homelessness and unaffordability, the Labour government never seriously considered nationalising housing, implementing rent controls, or seizing vacant properties from land-bankers. Instead, they protected the interests of property investors, many of whom were MPs themselves."
#canpoli #cdnpoli #trudeau #Liberal #Ardern
https://www.anarchistfederation.net/the-cult-of-kindness-the-reality-of-jacinda-arderns-leadership/

Embedded Acoustic Intelligence for Automotive Systems
Renjith Rajagopal, Peter Winzell, Sladjana Strbac, Konstantin Lindstr\"om, Petter H\"orling, Faisal Kohestani, Niloofar Mehrzad
https://arxiv.org/abs/2506.11071

Embedded Acoustic Intelligence for Automotive Systems
Transforming sound insights into actionable streams of data, this abstract leverages findings from degree thesis research to enhance automotive system intelligence, enabling us to address road type [1].By extracting and interpreting acoustic signatures from microphones installed within the wheelbase of a car, we focus on classifying road type.Utilizing deep neural networks and feature extraction powered by pre-trained models from the Open AI ecosystem (via Hugging Face [2]), our approach enable…