In which ideological poking (tshirt, mugs, signs that denigrate political opponents) and the Dark Triad are examined (US residents). Dark Triad traits: Machiavellianism (MA) exploit others for personal gain), narcissism (NA) grandiosity, entitlement, self absorption, and psychopathy (PA) impulsive, antisocial, deficit empathy. Are Dark Triad traits predictors of ideological poking? Study 1, willingness to display insulting bumper stickers: poking correlated with PA and MA, not NA. Study 2 expanded criteria and replicated Study 1. Also, PA associated with poking of both in and outgroup audiences. Rising polarization might provide additional (consequence free) opportunity for poking, driving further polarization, especially with PA.
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In which the suitability to use smartwatches to measure urban heat is examined. Used 22 days across 2020-4 of observations in Sydney. Can sensors be embedded in wristwatches? Can a predictive model be developed? How do the predictions perform under different conditions? Observations compared to MaRTy measurements. Trained Random Forest model. Findings that wrist mounted sensors are not reliable, too influenced by body heat, and inaccurate in sunny and calm conditions. Developing a predictive model based on data from wearables is possible, the model and ML can compensate for the errors. Feature importance, wrist air temperature most important then wrist dew temperature. So, direct measurements from wearables are not great, but can be adjusted by models.
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ten batteries could be put all in series with a single controller and the open circuit voltage would be 128v. each unit can do 200amps so in series we get 200amps, too. the maximum power is 25.6kw. an integrated battery charger with ten 12v battery wires that can all do 200 amps is probably hard to find i haven't looked yet.

an mppt charger that will take power from 6 450w panels seems possible. i bet i will have to pair them up into 5s2p and find an inverter that will take 64v dc.

are there mppt chargers that have spots for ten batteries?

LLMs lack introspection.

https://arstechnica.com/ai/2025/08/why-its-a-mistake-to-ask-chatbots-about-their-mistakes/