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@Techmeme@techhub.social
2026-03-08 22:41:00

A study of ~1,500 US workers finds AI use can reduce burnout but also cause "AI brain fry", a mental fatigue from using AI tools beyond one's cognitive capacity (Harvard Business Review)
hbr.org/2026/03/when-using-ai-

When Using AI Leads to “Brain Fry”
As firms increasingly incentivize employees to build and oversee complex teams of agents—for example, by measuring and rewarding token consumption as a proxy for performance—people are finding themselves pushed to their cognitive limits. Participants in a recent study described a “buzzing” feeling or a mental fog with difficulty focusing, slower decision-making, and headaches. The authors call this phenomenon “AI brain fry,” defined as mental fatigue from excessive use or oversight…

@degrowthuk@mstdn.social
2026-02-01 20:00:42

Designing for Degrowth: Energy Policy and the Architecture of Enough - Kleinman Center for Energy Policy
United States examples but broad relevance.
kleinmanenergy.upenn.edu/comme

Designing for Degrowth: Energy Policy and the Architecture of Enough
Energy policy research from the University of Pennsylvania

@nobodyinperson@fosstodon.org
2026-02-27 11:57:38

And here is my published dissertation @…, about quantifying the natural CO2 exhaust at the Starzach site in Southwest Germany (my result: ~10t/d):
hdl.handle.net/10900/176213

Figure 2: Examples of CO2 degassing at the Starzach site. Figure reproduced from Büchau et al. (2022, Appendix A, page 62, kindly provided by the publisher under a CC-BY-4.0 license). (a) diffuse degassing, small ascending gas bubbles (during spring 2020 flooding), (b) mofette with largest diameter, examined in 2015 by Lübben and Leven (2022), (c) picture by Martin Schon in 2019, groundwater monitor well, turned into the site’s most active mofette shortly after its deployment in 2014.
Table 2: Tabular comparison of four low-cost NDIR CO2 sensors evaluated for application at the Starzach site, reproduced from Büchau et al. (2022, Appendix A, page 65, kindly provided by the publisher under a CC-BY-4.0 license)
Figure 5: Gas flow funnel system mounted over the groundwater monitoring well (Figure 1, installed in 2014, which turned into a mofette shortly after deployment) at the Starzach site in 2022. Figure reproduced from (Büchau et al., 2024a, Appendix B, page 80, licensed under CC-BY-4.0).
Figure 9: Flux-gradient setup close to the ground, next to the Starzach site’s mofette with the largest diameter (30 cm, Figure 2b, examined in 2015 by Lübben and Leven, 2022). Four Sensirion SCD30 low-cost CO2 sensors each are mounted 40 cm above and below a Campbell Scientific IRGASON eddy covariance station at 60 cm height. Measurements of this setup are shown in Figure 10 and Figure 11.
@cheryanne@aus.social
2026-04-02 18:08:53

The Parent Hope Podcast
This podcast features examples from the frontlines of parenting, plus discussions with parents and helpers considering how best to be a positive resource for their child’s wellbeing...
Great Australian Pods Podcast Directory: greataustralianpods.com/parent

The Parent Hope Podcast Screenshot of the podcast listing on the Great Australian Pods website
@blakes7bot@mas.torpidity.net
2026-03-30 15:39:04

Series C, Episode 11 - Moloch
AVON: I shouldn't have asked.
[Scene shifts to Chesil, at the monitoring station, listening to the following transmission:]
blake.torpidity.net/m/311/289 B7B4

Claude Haiku 4.5 20251001 describes the image as: "# Blake's 7 - Studio Scene This image captures a moment from the classic BBC science fiction series "Blake's 7," showing an actor in character wearing distinctive costume elements typical of the show's production design. The setting appears to be a studio set with a futuristic aesthetic, featuring geometric shapes and a turquoise background panel that exemplifies the 1970s sci-fi television visual style. The character is dressed in a black ja…
@arXiv_physicsaccph_bot@mastoxiv.page
2026-02-24 08:06:27

Conventional Accelerator Magnets
Stephane Sanfilippo
arxiv.org/abs/2602.19808 arxiv.org/pdf/2602.19808 arxiv.org/html/2602.19808
arXiv:2602.19808v1 Announce Type: new
Abstract: This course introduces conventional magnets used in particle accelerators, focusing on both normal-conducting copper coil magnets and permanent magnets (PMs). It covers magnet classification, design principles, material selection, and mechanical constraints. Advantages and limitations of PMs compared to copper coil magnets are discussed. Key construction steps and cooling methods are presented. The course also includes magnetic field measurement techniques and quality control. Practical examples from PSI and CERN illustrate the concepts.
toXiv_bot_toot