McDonald's Netherlands pulls an AI-generated Christmas ad, made by TBWA\NEBOKO with film production company Sweetshop, after backlash that the ad is distasteful (Joe Wilkins/Futurism)
https://futurism.com/artificial-intelligence/mcdonalds-ai-generated-comme…
McDonald's Netherlands pulls an AI-generated Christmas ad, made by ad agency TBWA\NEBOKO with film production company The Sweetshop, after social media backlash (Joe Wilkins/Futurism)
https://futurism.com/artificial-intelligence/mcdonalds-ai-generated-comme…
Want a used car that works?
You’d be wise to not get an older Tesla.
In Consumer Reports’ latest ranking for used cars,
the Elon Musk-run automaker came dead last in terms of reliability,
trailing by over forty points from the top spot on a scale between 0 and 100
https://futurism.co…
Good examples in that article for why a prompt-based system for system administration seems odd: You type a hundred-word question and are told by the AI to use apt when the Fedora system doesn’t use that package manager at all. https://mstdn.social/@osnews/115702679695335298
Series D, Episode 13 - Blake
TARRANT: That isn't the plan anymore, though, is it Avon?
AVON: I think we can do better.
VILA: Does that mean safer?
AVON: In the end, winning is the only safety.
VILA: It doesn't mean safer. I didn't think it would.
https://blake.torpidity.net/m/413/16
Modeling, Segmenting and Statistics of Transient Spindles via Two-Dimensional Ornstein-Uhlenbeck Dynamics
C. Sun, D. Fettahoglu, D. Holcman
https://arxiv.org/abs/2512.10844 https://arxiv.org/pdf/2512.10844 https://arxiv.org/html/2512.10844
arXiv:2512.10844v1 Announce Type: new
Abstract: We develop here a stochastic framework for modeling and segmenting transient spindle- like oscillatory bursts in electroencephalogram (EEG) signals. At the modeling level, individ- ual spindles are represented as path realizations of a two-dimensional Ornstein{Uhlenbeck (OU) process with a stable focus, providing a low-dimensional stochastic dynamical sys- tem whose trajectories reproduce key morphological features of spindles, including their characteristic rise{decay amplitude envelopes. On the signal processing side, we propose a segmentation procedure based on Empirical Mode Decomposition (EMD) combined with the detection of a central extremum, which isolates single spindle events and yields a collection of oscillatory atoms. This construction enables a systematic statistical analysis of spindle features: we derive empirical laws for the distributions of amplitudes, inter-spindle intervals, and rise/decay durations, and show that these exhibit exponential tails consistent with the underlying OU dynamics. We further extend the model to a pair of weakly coupled OU processes with distinct natural frequencies, generating a stochastic mixture of slow, fast, and mixed spindles in random temporal order. The resulting framework provides a data- driven framework for the analysis of transient oscillations in EEG and, more generally, in nonstationary time series.
toXiv_bot_toot
Fellow homosexual enthusiasts: Heated Rivalry is indeed as hot a TV show as everyone is saying.
The National Shooting Sports Foundation boasts of raising awareness about suicide,
but it uses deceptive numbers to promote its efforts
https://www.rollingstone.com/politics/politics-features/gun-industry-suicide-pr…