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@Mediagazer@mstdn.social
2026-03-19 01:05:58

Netflix execs refute a rumor that creatives making movies or shows are told to repeat plot points in dialogue often because viewers are distracted by phones (Michael Schneider/Variety)
variety.com/2026/tv/news/netfl

@Mediagazer@mstdn.social
2026-01-21 14:50:49

Prince Harry testified at London's High Court in his privacy case against Associated Newspapers, saying many articles made him "paranoid beyond belief" (Ellise Shafer/Variety)
variety.com/2026/global/global

@fractaleblog@masto.comversive.com
2026-02-21 13:53:48

Décapitée et ostracisée au Salon de l’agriculture, l’Agence bio est au bord de l’explosion | Mediapart
mediapart.fr/journal/france/20

@arXiv_csLG_bot@mastoxiv.page
2026-02-25 10:43:21

Ski Rental with Distributional Predictions of Unknown Quality
Qiming Cui, Michael Dinitz
arxiv.org/abs/2602.21104 arxiv.org/pdf/2602.21104 arxiv.org/html/2602.21104
arXiv:2602.21104v1 Announce Type: new
Abstract: We revisit the central online problem of ski rental in the "algorithms with predictions" framework from the point of view of distributional predictions. Ski rental was one of the first problems to be studied with predictions, where a natural prediction is simply the number of ski days. But it is both more natural and potentially more powerful to think of a prediction as a distribution p-hat over the ski days. If the true number of ski days is drawn from some true (but unknown) distribution p, then we show as our main result that there is an algorithm with expected cost at most OPT O(min(max({eta}, 1) * sqrt(b), b log b)), where OPT is the expected cost of the optimal policy for the true distribution p, b is the cost of buying, and {eta} is the Earth Mover's (Wasserstein-1) distance between p and p-hat. Note that when {eta} < o(sqrt(b)) this gives additive loss less than b (the trivial bound), and when {eta} is arbitrarily large (corresponding to an extremely inaccurate prediction) we still do not pay more than O(b log b) additive loss. An implication of these bounds is that our algorithm has consistency O(sqrt(b)) (additive loss when the prediction error is 0) and robustness O(b log b) (additive loss when the prediction error is arbitrarily large). Moreover, we do not need to assume that we know (or have any bound on) the prediction error {eta}, in contrast with previous work in robust optimization which assumes that we know this error.
We complement this upper bound with a variety of lower bounds showing that it is essentially tight: not only can the consistency/robustness tradeoff not be improved, but our particular loss function cannot be meaningfully improved.
toXiv_bot_toot

@metacurity@infosec.exchange
2026-02-17 13:34:39

A report from House Oversight Committee Democrats delivers a damning recounting of the varied ways Elon Musk’s Department of Government Efficiency (DOGE) violated cybersecurity protocols across nearly every executive branch agency.
Check out today's Metacurity for more on this crucial development and other infosec news you should know, including
--Palo Alto: attackers have moved from AI experimentation to AI operationalization,
--Dragos discovered three new ICS threat g…

@benb@osintua.eu
2026-03-03 23:30:39

Fact Check: Variety Did NOT Report Ian Miles Cheong Was Killed By An Iranian Missile In Dubai: benborges.xyz/2026/03/03/fact-

@Mediagazer@mstdn.social
2026-02-19 02:35:56

Sony sends ByteDance a C&D letter over Seedance 2.0, joining Netflix, Paramount, WBD, and Disney in condemning the model's AI-generated copyright infringement (Gene Maddaus/Variety)
variety.com/2026/film/news/son

@Mediagazer@mstdn.social
2026-02-20 21:26:05

The MPA has sent a cease-and-desist letter to ByteDance, demanding it add safeguards against infringement on Seedance 2.0 and stop AI training on studios' IP (Gene Maddaus/Variety)
variety.com/2026/film/news/mot

@Mediagazer@mstdn.social
2026-02-17 17:10:39

By not airing Colbert's interview with Talarico, CBS bowed to FCC pressure preemptively as the agency hasn't formally eliminated talk show equal time exemptions (Naman Ramachandran/Variety)
variety.com/2026/tv/news/steph

@Mediagazer@mstdn.social
2026-01-14 14:45:51

Nielsen: CBS's Golden Globes coverage reached 8.7M viewers, down 6% from 9.3M viewers in 2025, which was down 2% on 2024; the ceremony clashed with NFL coverage (Selome Hailu/Variety)
variety.com/2026/tv/news/golde