@Techmeme@techhub.social2026-08-04 21:07:14
Pinterest reports Q2 revenue up 18% YoY to $1.18B, vs. $1.15B est., MAUs up 11% to 640M, forecasts Q3 revenue in line with estimates; PINS drops 8% after hours (Jonathan Vanian/CNBC)
https://www.cnbc.com/2026/08/04/pinterest-pins-q2-earnings-report-2026.html
@shaun@mastodon.xyz2026-08-14 04:00:42
@tokensane@mastodon.me.uk2026-08-08 09:10:24
@kexpmusicbot@mastodonapp.uk2026-06-24 03:08:33
🇺🇦 #NowPlaying on KEXP's #WoPop
St. Panther:
🎵 Infrastructure
#StPanther
https://stpanther.bandcamp.com/track/infrastructure-esta-remix
@jdrm@social.linux.pizza2026-07-31 09:16:35
Cuando ves esto por el campo no sabes si va a rescatar a alguien o es que se estš celebrando una misa negra en las proximidades https://www.reddit.com/r/Damnthatsinteresting/comments/1vbihow/this_is_threehalves_a_7_foot_tall_centaursh…
@PaulWermer@sfba.social2026-06-26 14:11:36
Wouldn't an itinerary tracing various culinary stples be fun? I've often pondered a food-centric tour - either around the Mediterranean, or along a cost of the Mediterranean and then through the Middle East into India. (Working in a semiconductor company, with employees from pretty much everywhere, I remember the intense discussion between an Iraqui, an Indian (Mumbai) and a Korean on the right way to cook rice.)
Tracing one delicious snack around the Mediterranean showed m…
@paulwermer@sfba.social2026-06-26 14:11:36
Wouldn't an itinerary tracing various culinary stples be fun? I've often pondered a food-centric tour - either around the Mediterranean, or along a cost of the Mediterranean and then through the Middle East into India. (Working in a semiconductor company, with employees from pretty much everywhere, I remember the intense discussion between an Iraqui, an Indian (Mumbai) and a Korean on the right way to cook rice.)
Tracing one delicious snack around the Mediterranean showed m…
@arXiv_mathDS_bot@mastoxiv.page2026-08-05 07:51:35
From Flows to Maps: Sampling Laws for Attractor Intensity and Bounded-Noise Escape
Jiguang Yu, Louis Shuo Wang
https://arxiv.org/abs/2608.02933 https://arxiv.org/pdf/2608.02933 https://arxiv.org/html/2608.02933
arXiv:2608.02933v1 Announce Type: new
Abstract: Intensity of attraction quantifies the largest amplitude of a persistent bounded disturbance that an attractor can withstand without loss of controlled confinement in its basin. Although intensity has been formulated separately for flows and maps, its behavior under temporal sampling has remained unresolved. We establish an explicit correspondence between the intensity $\mu(A)$ of a continuous-time attractor and the intensity $\mu_h(A)$ of its exact time-$h$ map. For an $L$-Lipschitz vector field, \[ \frac{\mu(A)}{1 Lh} \leq \frac{\mu_h(A)}{h} \leq \mu(A)\frac{e^{Lh}-1}{Lh}, \] and hence $\mu_h(A)/h\to\mu(A)$. The resulting first-order rate is sharp in general, while smooth scalar escape geometries can exhibit second-order convergence. We extend the framework to one-step numerical methods through a stability theory for block intensity and to attracting invariant graphs over compact invertible nonautonomous bases, obtaining uniform sampling convergence over the forcing phase. For bounded-support random perturbations, normalized discrete intensity is identified with the pathwise safety threshold; above it, finite escape follows under an explicit finite-exit condition, while escape probabilities require additional assumptions on the noise law. We also show that the discrete state--normal boundary map converges to the normalized Pontryagin boundary system governing extremal reachable-set boundaries. Exact scalar benchmarks, a grazing resilience model, planar Duffing escape, anisotropic disturbances, periodic and quasiperiodic forcing, and transfer-operator computations illustrate the theory. These results give intensity estimated from discrete observations or simulations a sampling-independent continuous-time meaning.
toXiv_bot_toot
@pixelpusher220@dmv.community2026-08-24 17:10:39
In one of the worst marketing concept implementations I've seen in a while...
The NFL is partnering with Disney, Marvel & Pixar to pair teams with characters.
#NFL #Disney #Marketing
Buffalo Bills: Disney's Beast - nothing says football like a ballroom
Miami Dolphins: King Triton - rotting fish
New England Patriots: Captain America - b/c Tom Bradys ego wasn't big enough?
New York Jets: Buzz Lightyear - 'No Intelligent Life (in mgmt)'
AFC North
Baltimore Ravens: Diaval and Maleficent
Cincinnati Bengals: Shere Khan (who?)
Cleveland Browns: Pluto - 'woof'
Pittsburgh Steelers: Pete
AFC South
Houston Texans: Jessie
Indianapolis Colts: Horace Horsecollar
Jacksonville Jaguars: Pepita
Tennessee Titans: Thanos - greatest villain in the cosmos, fun with kids?
AFC West
Denver Broncos: Maximus
Kansas City Chiefs: Big Bad Wolf (what no Riding Hood?)
Las Vegas Raiders: Darth Vader - hey they got one right!
Los Angeles Chargers: Hercules and Pegasus - they get two???
NFC East
Dallas Cowboys: Woody - goes ragdoll when people look at him
New York Giants: Wreck-It Ralph (well at least the mgmt)
Philadelphia Eagles: Doctor Doom
Washington Commanders: Hamm (again who?)
NFC North
Chicago Bears: Baloo - vs Thanos????
Detroit Lions: Simba - again vs Thanos?
Green Bay Packers: Chewbacca - furry for the winters?
Minnesota Vikings: Thor - too easy
NFC South
Atlanta Falcons: The Millennium Falcon - "she may not look like much" brilliant
Carolina Panthers: Bagheera - no idea
New Orleans Saints: Louis - sure uh what?
Tampa Bay Buccaneers: Captain Hook - scraping here
NFC West
Arizona Cardinals: Jafar and Iago
Los Angeles Rams: Sulley - wait Sullenberger?
San Francisco 49ers: Stinky Pete the Prospector - 'Stinky', just priceless
Seattle Seahawks: The "Mine, Mine, Mine" Seagulls - fitting for the money grabbing agents I guess