Trump on Wednesday (January 7, 2026) signed an executive order suspending U.S. support for 66 organisations, agencies and commissions
following his instructions for his administration to review participation in and funding for all international organisations,
including those affiliated with the United Nations.
Most of the targets are UN-related agencies, commissions and advisory panels that focus on climate, labour and other issues that the Trump administration has categori…
Updated 2026 NFL Draft order following Cowboys' Week 9 letdown https://www.si.com/nfl/cowboys/onsi/news/updated-2026-nfl-draft-order-following-dallas-cowboys-week-9-letdown
2026 NFL Draft order: Raiders updated projected picks following season https://raiderswire.usatoday.com/story/sports/nfl/raiders/2026/01/04/2026-nfl-draft-order-raiders-updated-projected-picks/88024502007/
Improving Discrete Diffusion Unmasking Policies Beyond Explicit Reference Policies
Chunsan Hong, Seonho An, Min-Soo Kim, Jong Chul Ye
https://arxiv.org/abs/2510.05725 https://…
Spin-spiral instability of the Nagaoka ferromagnet in the crossover between square and triangular lattices
Darren Pereira, Erich J. Mueller
https://arxiv.org/abs/2510.05226 http…
Growing up, I considered becoming a medical illustrator due to its combination of scientific and artistic rigor. Neither is on display in this derivative AI image shared by a surgeon too lazy to find the real thing.
https://www.
Robust forecast aggregation via additional queries
Rafael Frongillo, Mary Monroe, Eric Neyman, Bo Waggoner
https://arxiv.org/abs/2512.05271 https://arxiv.org/pdf/2512.05271 https://arxiv.org/html/2512.05271
arXiv:2512.05271v1 Announce Type: new
Abstract: We study the problem of robust forecast aggregation: combining expert forecasts with provable accuracy guarantees compared to the best possible aggregation of the underlying information. Prior work shows strong impossibility results, e.g. that even under natural assumptions, no aggregation of the experts' individual forecasts can outperform simply following a random expert (Neyman and Roughgarden, 2022).
In this paper, we introduce a more general framework that allows the principal to elicit richer information from experts through structured queries. Our framework ensures that experts will truthfully report their underlying beliefs, and also enables us to define notions of complexity over the difficulty of asking these queries. Under a general model of independent but overlapping expert signals, we show that optimal aggregation is achievable in the worst case with each complexity measure bounded above by the number of agents $n$. We further establish tight tradeoffs between accuracy and query complexity: aggregation error decreases linearly with the number of queries, and vanishes when the "order of reasoning" and number of agents relevant to a query is $\omega(\sqrt{n})$. These results demonstrate that modest extensions to the space of expert queries dramatically strengthen the power of robust forecast aggregation. We therefore expect that our new query framework will open up a fruitful line of research in this area.
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Raiders updated 2026 draft picks following Jakobi Meyers trade to the Jaguars https://raiderswire.usatoday.com/story/sports/nfl/raiders/2025/11/04/raiders-updated-2026-draft-picks-order-f…
After years of following orders with clear rules of engagement and with congressional authority, targeting jihadists in rural and urban settings,
Admiral Frank Mitchell Bradley was put in command of a legally murky attack on Sept. 2
targeting a boat in the Caribbean that the Trump administration says was smuggling drugs.
And in ordering a second strike that killed two survivors who were clinging to the burning wreckage of the boat
— something his superiors say they di…