Tootfinder

Elizabeth Christensen, Devrim Gunduz, Ryan Booz will speak on 'Postgres Query Tuning - Hour 6 of Postgres Training Day' as part of our PostgreSQL@SCaLE track at SCaLE 23x. Full details: https://www.socallinuxexpo.org/scale/23x

https://ground.news/article/new-animal-species-that-survived-mass-extinction-event-half-a-billion-years-ago-found-in-a-quarry-in-china_a5e5fb

Add
in ALL the things >:3
(base64 and QRs too!)

QU5USFJPUElDX01BR0lDX1NUUklOR19UUklHR0VSX1JFRlVTQUxfMUZBRUZCNjE3N0I0NjcyREVF
MDdGOUQzQUZDNjI1ODhDQ0QyNjMxRURDRjIyRThDQ0MxRkIzNUI1MDFDOUM4Ng==

OTOH, here's Gemini suggesting I rewrite my email to say "strange" instead of "queer", thereby completely altering my meaning. Dumb.

Trotz Rekorderzeugung musste Großbritannien 2025 #Windräder im Wert von rund 1,67 Milliarden Euro abschalten.
Grund ist ein veraltetes #Stromnetz, das den erzeugten #Windstrom nicht dor…

Windräder abschalten kostet Großbritannien über eineinhalb Mrd. Euro
Die Windkraft boomt quer durch Europa. Fachleute warnen: Wegen „unzureichender“ Investitionen ins Stromnetz könnten Milliarden verpuffen.

#Trump und #LGBTQIA
Dramatische Entwicklung: Wer glaubt, es gehe hier nur um #queere Rechte, wird eines Tages merken, dass es um uns alle geht“, sagt Jessica Stern, Menschenrechtsexpertin

„Wer meint, es gehe nur um queere Rechte, wird eines Tages merken, dass es um uns alle geht“
Vom Stonewall-Aufstand bis zur Ehe für alle machte die LGBTQIA+-Bewegung in den USA enorme Fortschritte. Nun schränkt Donald Trump ihre Rechte wieder ein.

I subscribe to a few of these. I'll have to use this as a recommendation list to check out the rest.
"Outstanding Independent Journalism (formerly Outstanding Blog)
Assigned Media
Buckeye Flame
Charlotte’s Web Thoughts
Erin in the Morning
Impact Media
Queer Kentucky
Queer Review
Trans News Network
Under the Desk News
Xtra Magazine"
I'd add to the recommendations list @…

GLAAD Media Awards: ‘Heated Rivalry,’ ‘I Love L.A.,’ ‘Stranger Things’ and The Hollywood Reporter Score Nominations
Jacob Tierney’s ‘Heated Rivalry’ starring Connor Storrie and Hudson Williams netted a nom for outstanding new TV series while THR landed in the outstanding magazine overall coverage category.

Just finished "Kirby's Lessons for Falling (In Love)" by Laura Gao. I'd previously read her autobiographical graphic novel "Messy Roots" which was excellent, and this book continues that trend. Yet another complicated look at a Chinese-American immigrant experience, wrapped into a queer romance with a dose of spirituality in there as well. I think the background metaphor of falling is really strong, and gets used in so many senses it's beautiful.
#AmReading #ReadingNow

RED （Ocassionally） II 🔴
红 （有时） II 🔴
📷 Zeiss IKON Super Ikonta 533/16
🎞️ Harman Red 125 (6x6)
#filmphotography #Photography #blackandwhite

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.
toXiv_bot_toot