Ranking NFL division winners by their chances to be dethroned in 2026
https://www.cbssports.com/nfl/news/nfl-division-winners-ranked-2026/
Not cyber.
“Based on current information, the root cause of yesterday’s disruption was the scheduled replacement of a technical component,” Philipp Nagl, head of Deutsche Bahn’s InfraGO infrastructure division, said in a statement.
https://www.
Improving Ensemble CAPE Forecasts with a Diffusion Model Incorporating Aerosol Information
Zachary James, Joseph Guinness, Arthur DeGaetano
https://arxiv.org/abs/2605.24009 https://arxiv.org/pdf/2605.24009 https://arxiv.org/html/2605.24009
arXiv:2605.24009v1 Announce Type: new
Abstract: Convective available potential energy (CAPE) is an important variable for forecasting severe weather and understanding deep convection and precipitation. The latest versions of the Global Forecast System (GFS) and related Global Ensemble Forecast System (GEFS) have exhibited a bias towards underestimating CAPE values during the summertime. We train an artificial intelligence (AI) diffusion model to improve the skill and uncertainty quantification of afternoon 6-hour lead time ensemble forecasts over the United States. Our model takes a GFS CAPE forecast as input and outputs an ensemble that significantly outperforms both GFS and GEFS 6-hour forecasts on root mean square error, continuous ranked probability score, and Brier score. We propose a two-stage training pipeline to leverage both a larger historical GFS forecast dataset and a smaller historical GEFS dataset, despite the two using initialization and parameterization schemes that vary over time. We also show that classifier-free guidance can be used to control the skill and spread of the forecasts. We then demonstrate the versatility of our framework by adding aerosol optical depths (AODs) of black carbon, organic carbon, dust, sea salt, and sulfates as additional input features. Aerosols can invigorate or suppress convection depending on atmospheric conditions. Our AI models effectively incorporate aerosols to produce improved CAPE forecasts. We interpret the model components by using permutation feature importance to rank the influence of the different AODs and find that black carbon, organic carbon, and sulfate aerosols have a greater impact on the model's CAPE predictions than sea salt and dust aerosols.
toXiv_bot_toot
I was curious what the red/yellow cards used in the World Cup would look like with color vision deficiency (Protanopia shown).
Seems like a player could be shown a card and not know the color. Does it matter with sufficient contrast and only 2 cards?
Could be easily solved by adding a symbol to the card or by having two different shapes.
Just went to look into what the “propagator model of computation” is, and read just enough to understand that it may be a better basis for actual AI than the LLM and diffusion models. Also just enough to recognize that I no longer have the brain of my 20’s, when I positively hoovered up such things.
Recently, at the library...
"Have you got their new book 'Silk switch system problem'?"
"No. Is that the sequel to 'Equiconnected nanosky oasis'?"
"What's that?"
"Oh, you've never read the 'Magnetic haze cycle' series? That's just too bad. It's full of cool ideas like the ultra-iridescent opcode sentinel, infraconnected division boundary, or even beige frontier mirror..."
"Dude!"
"Yeah, it's real porcelain ultra-peak! Absolutely life changing epoch omnicurve vision!"
…
"Study finds 40% of soil-dependent species threatened or data deficient"
#Animals
https://news.mongabay.com/short-articl
Book Review (with spoilers) - There Is No Antimemetics Division
https://www.quora.com/profile/Ben-Curthoys/Book-Review-There-Is-No-Antimemetics-Division-Here-be-spoilers-this-is-for…