Tootfinder

Apples Dienstechef: Deshalb wurde TV entplusst
Aus Apple TV wird Apple TV – sonst ändert sich nichts: Eddy Cue erläutert in einem Podcast, was den Konzern zur Umbenennung seines Videodienstes bewogen hat.
https://www.

ok @… i have found the part where the toot! app lets you PLAY POOL WITH PEOPLE YOU FOLLOW??? what is this app even lmao

In an interview with Screen International, Eddy Cue says Apple currently has no plans for an ad tier on Apple TV and no plans for a bid for WBD, A24, or Disney (Alex Weprin/The Hollywood Reporter)
https://www.hollywoodreporter.com/business/d…

An Ad Tier for Apple TV? The Tech Giant Buying Warner Bros.? Don’t Bet on It, Eddy Cue Says
The tech executive appeared to dismiss the long-rumored moves in an interview with Screen International.

Differential Analysis of Pseudo Haptic Feedback: Novel Comparative Study of Visual and Auditory Cue Integration for Psychophysical Evaluation
Nishant Gautam, Somya Sharma, Peter Corcoran, Kaspar Althoefer
https://arxiv.org/abs/2510.09570

Differential Analysis of Pseudo Haptic Feedback: Novel Comparative Study of Visual and Auditory Cue Integration for Psychophysical Evaluation
Pseudo-haptics exploit carefully crafted visual or auditory cues to trick the brain into "feeling" forces that are never physically applied, offering a low-cost alternative to traditional haptic hardware. Here, we present a comparative psychophysical study that quantifies how visual and auditory stimuli combine to evoke pseudo-haptic pressure sensations on a commodity tablet. Using a Unity-based Rollball game, participants (n = 4) guided a virtual ball across three textured terrains while their…

Raiders officially eliminated: Cue 3 wild overreactions https://raiderramble.com/2025/12/01/raiders-officially-eliminated-cue-3-wild-overreactions/

Sources: Apple plans health and fitness teams reorg under Eddy Cue, watchOS under Craig Federighi, and Watch hardware under John Ternus, as Jeff Williams exits (Mark Gurman/Bloomberg)
https://www.bloomberg.com/news/articles/20

Apple TV soll werbefrei bleiben – zumindest vorerst
Während Konkurrenten wie Netflix oder Prime mehr und mehr auf TV-Spots setzen, will Apple das nicht tun. Das sagt Diensteboss Eddy Cue.
https://www.

Jfc. And as if on cue, I get a CBC alert saying Carney pitched f-ing Keystone XL to Trump.
I rest my case. 😡 🤦‍♂️

Trump blasts pardoned Democrat as lacking "LOYALTY" (Avery Lotz/Axios)
https://www.axios.com/2025/12/07/trump-cuellar-pardon-loyalty-reelection-democrat
http://www.memeorandum.com/251207/p34#a251207p34

(Starting the stopwatch for the first reply guy who takes the previous post as their cue to argue the unimportance of Apple, actually)

Bias in the Picture: Benchmarking VLMs with Social-Cue News Images and LLM-as-Judge Assessment
Aravind Narayanan, Vahid Reza Khazaie, Shaina Raza
https://arxiv.org/abs/2509.19659

Bias in the Picture: Benchmarking VLMs with Social-Cue News Images and LLM-as-Judge Assessment
Large vision-language models (VLMs) can jointly interpret images and text, but they are also prone to absorbing and reproducing harmful social stereotypes when visual cues such as age, gender, race, clothing, or occupation are present. To investigate these risks, we introduce a news-image benchmark consisting of 1,343 image-question pairs drawn from diverse outlets, which we annotated with ground-truth answers and demographic attributes (age, gender, race, occupation, and sports). We evaluate a…

Associative Memory Model with Neural Networks: Memorizing multiple images with one neuron
Hiroshi Inazawa
https://arxiv.org/abs/2510.06542 https://arxiv.or…

Associative Memory Model with Neural Networks: Memorizing multiple images with one neuron
This paper presents a neural network model (associative memory model) for memory and recall of images. In this model, only a single neuron can memorize multi-images and when that neuron is activated, it is possible to recall all the memorized images at the same time. The system is composed of a single cluster of numerous neurons, referred to as the "Cue Ball," and multiple neural network layers, collectively called the "Recall Net." One of the features of this model is that several different im…

We forget at our peril the craze for drawing curly cues around chickens of the mid-18th century.
Source: https://archive.org/details/bim_eighteenth-century_the-pennsylvania-sic-a_bickham-george_1750/page/n11/mode/2up

Spent time today helping a VAR upgrade from one support appliance to another. Not my job but I get sucked into these things. While racking the new one I found an unknown box in the rack. "What is this?" "Oh, thats <vendor>'s box. We stopped using them years ago." Cue me finding a Ubuntu 16.04 box STILL ON OUR NETWORK FROM A VAR WE DON'T USE. Keep in mind, these are the same folks that run around screaming about security. Some days I really want to just wa…

I have a sore finger - a cockatoo bit me!
I'm pretty sure it was an accident.
I was putting veggie scraps out on the bird feeder yesterday and two cockatoos flew down to check what was on offer.
They both got rather excited and started grabbing for the choicest tidbits and I guess my finger was in the way.
Anyway, cue lots of blood and a rather shocked me.
The finger looks much better tonight, and only needed a band-aid rather than a bandage.

PixelCraft: A Multi-Agent System for High-Fidelity Visual Reasoning on Structured Images
Shuoshuo Zhang, Zijian Li, Yizhen Zhang, Jingjing Fu, Lei Song, Jiang Bian, Jun Zhang, Yujiu Yang, Rui Wang
https://arxiv.org/abs/2509.25185

PixelCraft: A Multi-Agent System for High-Fidelity Visual Reasoning on Structured Images
Structured images (e.g., charts and geometric diagrams) remain challenging for multimodal large language models (MLLMs), as perceptual slips can cascade into erroneous conclusions. Intermediate visual cues can steer reasoning; however, existing cue-based methods are constrained with low-fidelity image processing and linear, rigid reasoning patterns, limiting their effectiveness on complex structured-image tasks. In this paper, we propose PixelCraft, a novel multi-agent system for high-fidelity …

HuLA: Prosody-Aware Anti-Spoofing with Multi-Task Learning for Expressive and Emotional Synthetic Speech
Aurosweta Mahapatra, Ismail Rasim Ulgen, Berrak Sisman
https://arxiv.org/abs/2509.21676

HuLA: Prosody-Aware Anti-Spoofing with Multi-Task Learning for Expressive and Emotional Synthetic Speech
Current anti-spoofing systems remain vulnerable to expressive and emotional synthetic speech, since they rarely leverage prosody as a discriminative cue. Prosody is central to human expressiveness and emotion, and humans instinctively use prosodic cues such as F0 patterns and voiced/unvoiced structure to distinguish natural from synthetic speech. In this paper, we propose HuLA, a two-stage prosody-aware multi-task learning framework for spoof detection. In Stage 1, a self-supervised learning (S…

ImageNet-trained CNNs are not biased towards texture: Revisiting feature reliance through controlled suppression
Tom Burgert, Oliver Stoll, Paolo Rota, Beg\"um Demir
https://arxiv.org/abs/2509.20234

ImageNet-trained CNNs are not biased towards texture: Revisiting feature reliance through controlled suppression
The hypothesis that Convolutional Neural Networks (CNNs) are inherently texture-biased has shaped much of the discourse on feature use in deep learning. We revisit this hypothesis by examining limitations in the cue-conflict experiment by Geirhos et al. To address these limitations, we propose a domain-agnostic framework that quantifies feature reliance through systematic suppression of shape, texture, and color cues, avoiding the confounds of forced-choice conflicts. By evaluating humans and n…