Tootfinder

67: The none-sensical viral phrase that Gen Alpha can’t stop saying
And now, its seems to be taking over OpenAI as well.
“GPT-6 will be renamed GPT-6-7, you’re welcome,”
OpenAI CEO Sam Altman posted to X on Friday.
Altman’s announcement comes just a couple of days after Dictionary.com named the slang 2025’s word of the year.
For those lucky enough to not be familiar with the term,
the Gen Alpha slang can be traced back to hip hop artist Skrilla’s late 20…

Did Sam Altman Just Figure out What 6-7 Means?
The OpenAI CEO announced it will rename GPT-6 to GPT-6-7 referencing the viral Gen Alpha slang. We don't know if he is kidding.

Metsät ovat nyt täynnä sieniä: Sieniretkeilijät esittelevät saaliinsa #luonto

Metsät ovat nyt täynnä sieniä: Sieni­retkeilijät esittelevät saaliinsa
Sunnuntai veti ihmisiä sienimetsälle Helsingin Landbossa ja Sipoonkorven kansallispuistossa.

Go with Your Gut: Scaling Confidence for Autoregressive Image Generation
Harold Haodong Chen, Xianfeng Wu, Wen-Jie Shu, Rongjin Guo, Disen Lan, Harry Yang, Ying-Cong Chen
https://arxiv.org/abs/2509.26376

Go with Your Gut: Scaling Confidence for Autoregressive Image Generation
Test-time scaling (TTS) has demonstrated remarkable success in enhancing large language models, yet its application to next-token prediction (NTP) autoregressive (AR) image generation remains largely uncharted. Existing TTS approaches for visual AR (VAR), which rely on frequent partial decoding and external reward models, are ill-suited for NTP-based image generation due to the inherent incompleteness of intermediate decoding results. To bridge this gap, we introduce ScalingAR, the first TTS fr…

Replaced article(s) found for eess.IV. https://arxiv.org/list/eess.IV/new
[1/1]:
- Few-shot Personalized Saliency Prediction Based on Interpersonal Gaze Patterns
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

Overclocking Electrostatic Generative Models
Daniil Shlenskii, Alexander Korotin
https://arxiv.org/abs/2509.22454 https://arxiv.org/pdf/2509.22454

Overclocking Electrostatic Generative Models
Electrostatic generative models such as PFGM++ have recently emerged as a powerful framework, achieving state-of-the-art performance in image synthesis. PFGM++ operates in an extended data space with auxiliary dimensionality $D$, recovering the diffusion model framework as $D\to\infty$, while yielding superior empirical results for finite $D$. Like diffusion models, PFGM++ relies on expensive ODE simulations to generate samples, making it computationally costly. To address this, we propose Inve…

Mathematical and numerical modeling of coupled oxygen dynamics and neuronal electrophysiology
Francesco Daniele, Caterina B. Leimer Saglio, Stefano Pagani, Paola F. Antonietti
https://arxiv.org/abs/2509.22863

Mathematical and numerical modeling of coupled oxygen dynamics and neuronal electrophysiology
Understanding how oxygen supply shapes neuronal excitability is crucial for explaining brain function in pathological scenarios, such as ischemia. This condition is caused by a reduced blood supply, leading to oxygen and other metabolites deprivation; this energy deficit impairs ionic pumps and causes cellular swelling. In this work, this phenomenon is modeled through a volumetric variation law that links cell swelling to local oxygen concentration and the percentage of blood flow reduction. Th…

Series A, Episode 12 - Deliverance
ENSOR: I'm on three-quarter boost as it is. She's not responding! I'm going to maximum. It's all right. It's all right. She's slowing. Compensators beginning to hold. [Ship starts to steady.] Come on, come on, that's my beauty. That's...come on. Pull us back, pull us back. All right, she's coming back. We're all right.
MARYATT: Don't do that too often, will you? I'm a very nervous passenger.

Predictor-corrector method based on dynamic mode decomposition for tensor-train nonequilibrium Green's function calculations
Maksymilian \'Sroda, Ken Inayoshi, Michael Sch\"uler, Hiroshi Shinaoka, Philipp Werner
https://arxiv.org/abs/2509.22177

Predictor-corrector method based on dynamic mode decomposition for tensor-train nonequilibrium Green's function calculations
The nonequilibrium Green's function (NEGF) formalism is a powerful tool to study the nonequilibrium dynamics of correlated lattice systems, but its applicability to realistic system sizes and long timescales is limited by unfavorable memory scaling. While compressed representations, such as the recently introduced quantics tensor train (QTT) format, alleviate the memory bottleneck, the efficiency of QTT-NEGF calculations is hindered by poor initializations and slow or unstable convergence of gl…

Selena Gomez marries Benny Blanco in star-studded Santa Barbara ceremony
The couple exchanged vows at the lush Sea Crest Nursery in Santa Barbara, Calif., while surrounded by around 170 of their family and friends, according to Vogue.
Guests included Gomez’s BFF Taylor Swift, her “Only Murders in the Building” co-stars Martin Short, Steve Martin and Paul Rudd. Other attendees included Paris Hilton, Ed Sheeran, Ashley Park, and Gomez’s “Wizards of Waverly Place” co-star David Henri…

INBELLA (@inbella@channels.im)
Attached: 1 image Selena Gomez marries Benny Blanco in star-studded Santa Barbara ceremony https://www.inbella.com/1293631/selena-gomez-marries-benny-blanco-in-star-studded-santa-barbara-ceremony/ #BennyBlanco #CelebritiesNews #LosAngelesLakers #MartinShort #PetraCollins #RalphLauren #SANTABARBARA #SelenaGomez #SteveMartin #TaylorSwift

Selenskyj ernennt Stefanischyna zur US-Botschafterin
Präsident Wolodymyr Selenskyj hat Olha Stefanischyna, eine ehemalige hochrangige Kabinettsministerin, zur ukrainischen Botschafterin in den Vereinigten Staaten ernannt. Selenskyj erklärte in seiner abendlichen Videoansprache, er habe das Dekret zur Ernennung der 39-jährigen Stefanischyna unterzeichnet. Sie übernimmt das Amt von Oksana Markarowa, d…
📷