@Techmeme@techhub.socialSources: Demis Hassabis was an angel investor in Anthropic; PitchBook and Dealroom: former DeepMind researchers founded 12 companies since 2021, raising $14B (Financial Times)
https://www.ft.com/content/8f2a529e-7a1b-4d8e-95be-338d0c4c98f5
@usul@piaille.frGénocide au Rwanda : la commission Duclert conclut Š une faillite militaire et politique de la France de 1990 Š 1994
https://www.lemonde.fr/afrique/article/2021/03/26/rw…
@Mediagazer@mstdn.socialSpaceX filing: X's ad revenue was $1.8B in 2025, $1.7B in 2024, and $2.3B in 2023, below Twitter's $4B in 2021; X and Grok now have 6.3M active paid subscribers (Alex Weprin/The Hollywood Reporter)
https://www.hollywoodreporter.com/busine…
@aardrian@toot.cafeCraig Abbott believes “Our CSS isn’t opinionated enough”:
https://www.craigabbott.co.uk/blog/2026/our-css-isnt-opinionated-enough/
Which of course I agree with and link from on of my posts:
@awinkler@openbiblio.socialInterview mit Sigrid Schulze aus dem #mittemuseum in #Berlin #Gesundbrunnen:
@jtk@infosec.exchangeThe US OMB recently published a new logging reference architecture M-26-14 replacing 2021's M-21-31.
I'm not familiar enough with CISA and the bureaucracy to confidently provide a useful analysis, but the two different memorandums are noticeably different that I'm sure someone with more familiarity could say something interesting about the potential consequences, positive or negative.
@Techmeme@techhub.socialSpaceX filing: X's ad revenue was $1.8B in 2025, $1.7B in 2024, and $2.3B in 2023, below Twitter's $4B in 2021; X and Grok now have 6.3M active paid subscribers (Alex Weprin/The Hollywood Reporter)
https://www.hollywoodreporter.com/busine…
@sean@scoat.esSiri (Beta) is really interesting.
On one hand, I don't have to trust any new parties with my data. Apple already has it since they have my mobile devices, so if they were going to maliciously steal (e.g.) my email contents, they could already do that. This opens the door to a whole bunch of LLM data based interrogation that I wouldn't trust with other providers.
…on the other hand, the "on-device only" Siri falls over immediately when disabling the internet c…
@krasse_eloquenz@literatur.socialEs war das Jahr 2021. Mein damaliger Chef (in etwa in meinem Alter) kaufte für mich als Redakteurin die letzte Ausgabe des 26-bändigen Brockhaus. Zum Recherchieren. Wegen der Unzuverlässigkeit des Internets (wir waren noch prä-KI).
Da ich damals neu war, habe ich nicht so vehement widersprochen, wie ich es sonst getan hätte. 1/2
@arXiv_physicsaoph_bot@mastoxiv.pageVisibility nowcasting in South Korea: a machine learning approach to class imbalance and distribution shift
Bong Gyun Shin, Chan Sik Lee, Hyesun Suh
https://arxiv.org/abs/2605.21507 https://arxiv.org/pdf/2605.21507 https://arxiv.org/html/2605.21507
arXiv:2605.21507v1 Announce Type: new
Abstract: Atmospheric visibility is a critical variable for transportation safety and air quality management, however, accurate prediction remains challenging due to the complex interactions between meteorological conditions and air pollutants, as well as the rarity of low-visibility events. This study introduces a machine learning framework to nowcast visibility in six major South Korean cities. To handle the imbalance in the 2018-2020 training data, we applied the Synthetic Minority Over-sampling Technique with Nominal and Continuous (SMOTENC) and Conditional Tabular Generative Adversarial Network (CTGAN). An ensemble approach combining machine learning and deep learning models was then used and evaluated on a 2021 test dataset. The results revealed a marked decline in predictive performance in the test set compared to the cross-validation phase. This degradation was attributed to a distributional shift between training and testing periods, which was quantitatively confirmed by measuring the Wasserstein distance of the most influential feature identified by SHAP analysis. In general, this study presents a methodology that aims to simultaneously address the dual challenges of data imbalance and temporal distributional shifts, and emphasizes the necessity of accounting for evolving external environmental factors when implementing nowcasting models on time-series data.
toXiv_bot_toot
