Conservative economist Andy Hall offers a damning condemnation of conventional politicians (although he is apparently oblivious of the import of his argument) ๐
Hall writes:
"Politicians do not respond mechanically to shifts in public sentiment
โthey answer to donors, activists, and primary challengers,
not just median votersโฆ
and sometimes they stake out new positions well before the public asks for them,
or refuse to move long after it has"
Tracey Johnson, assistant professor of history and African American studies, picked pieces ranging from the mid-19th century to the present for her survey course HIST 3165: History of Art and Activism in the United States. This course focuses on issues such as racial injustice, homelessness and the HIV/AIDs crisis through the lens of creative activism and protest.
3/
@… I think this is particularly interesting in the context of the previous "What is the Fediverse?" (Paraphrasing, don't recall exact wording) poll.
If we generally agree that the Fediverse is the total sum of all ActivityPub messages, then it should become quite obvious that presuming how others must use the protocol is a fool's errand at best.
How Organizations Use AI: Evidence from ChatGPT
Aaron Chatterji, David Holtz, Neel Rakholia, Prasanna Tambe, Gawesha Weeratunga
https://arxiv.org/abs/2608.12236 https://arxiv.org/pdf/2608.12236 https://arxiv.org/html/2608.12236
arXiv:2608.12236v1 Announce Type: new
Abstract: We study how organizations use frontier generative AI by linking ChatGPT Enterprise account records to usage, worker roles, task classifications, and public-company financial data through March 2026. These linked data enable a privacy-preserving analysis of adoption, worker roles, and message-level tasks at scale: for instance, the worker-level sample we analyze at the six-month adoption horizon includes over 1,500 organizations and over 17 million messages. We document four facts about enterprise AI adoption and use. First, ChatGPT Enterprise usage has grown rapidly due to a combination of new firm adoption and growing intensity among existing adopters. Second, U.S.-based public company adoption is concentrated among larger, more valuable, and more R&D- and SG&A-intensive firms. Third, active use within adopting firms spans job functions and seniority levels, with especially high usage intensity among early-career workers. Fourth, ChatGPT Enterprise usage encompasses a broad range of knowledge work tasks, including writing, technical work, communication, and information synthesis. In aggregate, these results suggest that firms differ widely in the speed, breadth and purpose of their enterprise AI adoption, and that they are still actively learning how to integrate AI into organizational workflows.
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Trial lawyers, with big liability litigation earnings, are among the most active lobbyists against autonomous vehicles, even as data shows clear safety benefits (Alex Tabarrok/Marginal Revolution)
https://marginalrevolution.com/margina
Roughly two dozen immigration advocates, faith leaders, Japanese internment camp survivors and their descendants
completed a four-day, 45-mile pilgrimage Saturday to an immigrant detention facility outside of Dilley.
The activists demanded the closure of the only federal family detention center,
described by a Japanese internment survivor as inhumane and a tragic โrepetition of American history.โ
Free Families, a national coalition of organizations advocating for immโฆ
Itโs Alexandria Ocasio-Cortez.
๐ ๐ต๐ฎ๐๐ฒ ๐ป๐ผ๐ ๐๐ฎ๐ธ๐ฒ๐ป ๐ฎ ๐ฑ๐ถ๐บ๐ฒ ๐ถ๐ป ๐ฐ๐ผ๐ฟ๐ฝ๐ผ๐ฟ๐ฎ๐๐ฒ ๐ผ๐ฟ ๐๐ฝ๐ฒ๐ฐ๐ถ๐ฎ๐น ๐ถ๐ป๐๐ฒ๐ฟ๐ฒ๐๐ ๐บ๐ผ๐ป๐ฒ๐ ๐๐ถ๐ป๐ฐ๐ฒ ๐๐ต๐ฒ ๐ณ๐ถ๐ฟ๐๐ ๐ฑ๐ฎ๐ ๐ผ๐ณ ๐บ๐ ๐ฐ๐ฎ๐บ๐ฝ๐ฎ๐ถ๐ด๐ป.
When people ask,
โ๐๐ฉ๐บ ๐ข๐ณ๐ฆ ๐บ๐ฐ๐ถ ๐ข๐ฃ๐ญ๐ฆ ๐ต๐ฐ ๐ต๐ข๐ฌ๐ฆ ๐ต๐ฉ๐ฆ ๐ด๐ต๐ข๐ฏ๐ค๐ฆ๐ด ๐บ๐ฐ๐ถ ๐ฅ๐ฐ?โ or
โ๐๐ฉ๐บ ๐ข๐ณ๐ฆ ๐บ๐ฐ๐ถ ๐ข๐ฃ๐ญ๐ฆ ๐ต๐ฐ ๐ด๐ฑ๐ฆ๐ข๐ฌ ๐ต๐ฉ๐ฆ ๐ธ๐ข๐บ ๐ต๐ฉ๐ข๐ต ๐บ๐ฐ๐ถ ๐ฅ๐ฐ?โ
โ a lot of it is because I do not rely on special interests to get
re-elected.
๐ง๐ต๐ถ๐ ๐ฐ๐ฎ๐บ๐ฝ๐ฎ๐ถ๐ด๐ป ๐ถ๐ ๐ณ๐ถ๐ป๐ฎ๐ป๐ฐ๐ฒ๐ฑ ๐ญ๐ฌ๐ฌ% ๐ฏ๐ ๐ฒ๐๐ฒ๐ฟ๐๐ฑ๐ฎ๐, ๐ฟ๐ฒ๐ด๐๐น๐ฎ๐ฟ ๐ฝ๐ฒ๐ผ๐ฝ๐น๐ฒ.
No lobbyists.
No corporate PACs.
No call time withโฆ
Since the age of the Gold Rush, California has lost approximately 60 percent of its coastal dunes
due primarily to human intervention;
By contrast, Santa Barbara County has lost only 10 percent.
Thatโs according to a recent study released by the UC Office of the Presidentโs Climate Action Research Initiative with active engagement by nine UCSB researchers.ย
Statewide the expansion of urbanization and agriculture has gobbled up roughly 442 square kilometers of coastalโฆ
How the fly holds a single goal: normalization, not selection, in Drosophila FC2
Gioele Nanni, Christopher Lee
https://arxiv.org/abs/2607.18969 https://arxiv.org/pdf/2607.18969 https://arxiv.org/html/2607.18969
arXiv:2607.18969v1 Announce Type: new
Abstract: A walking fly steers toward a goal direction, held as a bump of activity across the FC2 neurons of the fan-shaped body. These neurons also inhibit one another over distance, more strongly the farther apart they are, a feedback proposed to keep the fly on a single goal. We asked, from the connectome, what circuit produces this inhibition, and whether it lets FC2 actively choose one goal among competitors (a winner-take-all) or simply keeps a goal set elsewhere as one clean bump. Tracing the wiring in a single FlyWire brain, we find the inhibition is almost entirely global: four FB5A cells inhibit every FC2 neuron roughly equally, with a smaller, distance-dependent contribution from hDelta interneurons and a negligible direct component. A ring-attractor winner-take-all (the kind the compass uses) requires local recurrent excitation that the FC2 wiring lacks, so this geometry cannot build one; and across a range of dynamical models, including a spiking network, no version of the circuit locks onto a winner at the connectome-scaled reference coupling. FC2 therefore normalizes an externally set goal rather than selecting it, with FB5A likely acting as the global normalizer, much as the APL neuron does in the mushroom body. We are explicit about two open points: a different mechanism, mutual inhibition between two competing goals (which hDelta supplies), could in principle select at very strong coupling, and we bound rather than exclude it; and FB5A's inhibitory identity is a low-confidence prediction of the connectome's transmitter classifier, not yet measured, and likely not GABAergic. We then ask where the goal is actually set: the connectome nominates an upstream hDelta network and rules out the leading proposed alternative, whose neurons supply under 0.2% of FC2's input. Finally, we propose a direct experiment, silencing FB5A while imaging FC2, that would test the account.
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