does Galactic Center stuff
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đ„ THE BATTLE BEGINS! đ„
2023 is winding down, so itâs time to choose the WORST PERSON IN TECH!
đłïž ROUND 1 VOTING OPEN NOW: https://forms.gle/xqcDPSXB98gA4udn9
The end-of-year contest from Tech Wonât Save Us to let YOU choose the worst person in the tech industry is back! For the next five days, weâll be working our way through 32 standout figures in the industry to see which deserves the crown for biggest ghoul of them all. It's tough competition! Here's how it will work: Every day Iâll post the matchups and you'll have 12 hours to vote. That will give me time to tabulate the results and get everything ready for the next round. Then, the winner will be announced live on our end-of-year livestream for Patreon supporters on December 17 â with a public announcement across our social media channels to follow soon after. This round ends at 8:30pm ET. You don't have to vote in every match if you don't want to. Let the voting begin! A couple notes: Yes, we're using Google Forms. It's not a ploy to collect your email address, as the little icon below this should indicate. I haven't turned that option on. We're using it for two reasons: Twitter's user base has splintered so using its polls wasn't a good option (not to mention not wanting to do any more than necessary on the Musk platform) and because every other option was just prohibitively expensive for some year-end fun. So this is how it is. Enjoy!
Wait, what? How ironic.
https://economicsfromthetopdown.com/2022/04/08/the-dunning-kruger-effect-is-autocorrelation/
Over the past few years, the rapid development of machine learning (ML) models for weather forecasting has led to state-of-the-art ML models that have superior performance compared to the European Centre for Medium-Range Weather Forecasts (ECMWF)âs high-resolution forecast (HRES), which is widely considered as the worldâs best physics-based weather forecasting system. Specifically, ML models have outperformed HRES in 10-day forecasts with a spatial resolution of 0.25â. However, the challenge remains in mitigating the accumulation of forecast errors for longer effective forecasts, such as achieving comparable performance to the ECMWF ensemble in 15-day forecasts. Despite various efforts to reduce accumulation errors, such as implementing autoregressive multi-time step loss, relying on a single model has been found to be insufficient for achieving optimal performance in both short and long lead times. Therefore, we present FuXi, a cascaded ML weather forecasting system that provides 15-day global forecasts at a temporal resolution of 6 hours and a spatial resolution of 0.25â. FuXi is developed using 39 years of the ECMWF ERA5 reanalysis dataset. The performance evaluation demonstrates that FuXi has forecast performance comparable to ECMWF ensemble mean (EM) in 15-day forecasts. FuXi surpasses the skillful forecast lead time achieved by ECMWF HRES by extending the lead time for Z500 from 9.25 to 10.5 days and for T2M from 10 to 14.5 days. Moreover, the FuXi ensemble is created by perturbing initial conditions and model parameters, enabling it to provide forecast uncertainty and demonstrating promising results when compared to the ECMWF ensemble.
There Are No Rules
States and quasi-states are using extreme, uninhibited violence against civilian populations.
By Anne Applebaum
Extract
The russian invasion of #Ukraine and Hamasâs attack on #Israeli civilians are both blatant rejections of that rules-based world order, and they herald something new. Both aggressors have deployed a sophisticated, militarized, modern form of terrorism, and they do not feel apologetic or embarrassed about this at all
Read more heređ https://www.theatlantic.com/international/archive/2023/10/israel-war-hamas-terrorism-ukraine-russia/675590/
Just wasted 2.5k CPU hours because a clean up directory flag was wrongly set. Literally deleted my work :@
Erlebt das Radioteleskop Effelsberg und erfahrt mehr ĂŒber seine Geschichte. Am 14.10 lĂ€dt der #HikersGuide zu einer Wanderung ĂŒber den Zeitreiseweg rund um das Teleskop ein.
Die Tour nimmt Interessierte mit auf eine Reise in die Vergangenheit des Teleskops. Mit dabei ist Norbert Junkes vom Max-Planck-Institut fĂŒr Radioastronomie.
Die Teilnahme ist kostenlos, um Anmeldung wird gebeten:
https://eveeno.com/wanderung_effelsberg
@maxplanckgesellschaft @wissenschaftsjahr
@bmbf_bund @a4e #Wisskomm
The University of Pennsylvania is acting proud of Katalin KarikĂł now that she's won a Nobel. But they kicked her out of her research assistant professor job when she insisted on doing the work that won her that prize:
"She recalls spending one Christmas and New Yearâs Eve conducting experiments and writing grant applications. But many other scientists were turning away from the field, and her bosses at UPenn felt mRNA had shown itself to be impractical and she was wasting her time. They issued an ultimatum: if she wanted to continue working with mRNA she would lose her prestigious faculty position, and face a substantial pay cut.
âIt was particularly horrible as that same week, I had just been diagnosed with cancer,â said KarikĂł. âI was facing two operations, and my husband, who had gone back to Hungary to pick up his green card, had got stranded there because of some visa issue, meaning he couldnât come back for six months. I was really struggling, and then they told me this."
"While undergoing surgery, KarikĂł assessed her options. She decided to stay, accept the humiliation of being demoted, and continue to doggedly pursue the problem. This led to a chance meeting which would both change the course of her career, and that of science."
Elsewhere she recalled:
âI thought of going somewhere else, or doing something else. I also thought maybe Iâm not good enough, not smart enough."
She's now an adjunct in UPenn's neurosurgery department. Will they fast-track her for tenure now that she has a Nobel, or just live with the shame?
Both quotes here come from interesting stories. The first is from here:
https://www.wired.co.uk/article/mrna-coronavirus-vaccine-pfizer-biontech
The second is from here: