Tootfinder

Betting platform Kalshi aired a fully AI-generated 30-second ad during the NBA Finals, reportedly made in 2-3 days with 300-400 generations using Google's Veo 3 (Emma Roth/The Verge)
https://www.theverge.com/news/686474/kalshi-ai-generated-a…

Here’s the $2,000 fully AI-generated ad that aired during the NBA Finals
Kalshi debuted an AI-generated ad during the NBA finals. The creator behind the ad said it only took two to three days to make using Google Veo 3.

Betting platform Kalshi aired a fully AI-generated 30-second ad during the NBA Finals, reportedly made in 2-3 days with 300-400 generations using Google's Veo 3 (Emma Roth/The Verge)
https://www.theverge.com/news/686474/kalshi-ai-generated-a…

Here’s the $2,000 fully AI-generated ad that aired during the NBA Finals
Kalshi debuted an AI-generated ad during the NBA finals. The creator behind the ad said it only took two to three days to make using Google Veo 3.

SceneCompleter: Dense 3D Scene Completion for Generative Novel View Synthesis
Weiliang Chen, Jiayi Bi, Yuanhui Huang, Wenzhao Zheng, Yueqi Duan
https://arxiv.org/abs/2506.10981

SceneCompleter: Dense 3D Scene Completion for Generative Novel View Synthesis
Generative models have gained significant attention in novel view synthesis (NVS) by alleviating the reliance on dense multi-view captures. However, existing methods typically fall into a conventional paradigm, where generative models first complete missing areas in 2D, followed by 3D recovery techniques to reconstruct the scene, which often results in overly smooth surfaces and distorted geometry, as generative models struggle to infer 3D structure solely from RGB data. In this paper, we propo…

Joint System Modeling Approach for Fault Simulation of Start-er/Generator and Gas Generator in All-Electric APU
Haotian Mao, Yingqing Guo
https://arxiv.org/abs/2506.10562

Joint System Modeling Approach for Fault Simulation of Start-er/Generator and Gas Generator in All-Electric APU
This paper presents a joint system modeling approach for fault simulation of all-electric auxiliary power unit (APU), integrating starter/generator turn-to-turn short circuit (TTSC) faults with gas generator gas-path faults.To address challenges in electromechanical coupling, simulation precision and computational efficiency balance, we propose a multi-rate continuous-discrete hybrid simulation architecture. This architecture treats the starter/generator as a continuous system with variable ste…

Prompt Variability Effects On LLM Code Generation
Andrei Paleyes, Radzim Sendyka, Diana Robinson, Christian Cabrera, Neil D. Lawrence
https://arxiv.org/abs/2506.10204

Prompt Variability Effects On LLM Code Generation
Code generation is one of the most active areas of application of Large Language Models (LLMs). While LLMs lower barriers to writing code and accelerate development process, the overall quality of generated programs depends on the quality of given prompts. Specifically, functionality and quality of generated code can be sensitive to user's background and familiarity with software development. It is therefore important to quantify LLM's sensitivity to variations in the input. To this end we prop…

#generativeAI experiment : for the page of software package, I am trying to generate a woman computer vision scientist in a superman costume...
I tried different ways to force the generated images to depict a woman, but with no success : I only get the same male scientist!

Comparing name generator designs in rural panel studies: analyzing alter retention and change
Marian-Gabriel H\^ancean, J\"urgen Lerner, Christopher McCarty
https://arxiv.org/abs/2506.10136

Comparing name generator designs in rural panel studies: analyzing alter retention and change
We conducted a two-wave personal network study in a rural Romanian community, interviewing the same participants (n = 68) using two name generators. Wave 1 employed a fixed-choice generator (n = 25) focused on emotional closeness; Wave 2 used a free-choice generator based on frequent interaction. We compared tie characteristics and assessed retention across waves. Alters who were kin, co-residents, or emotionally close were more likely to be retained, regardless of generator type. These finding…

ELFuzz: Efficient Input Generation via LLM-driven Synthesis Over Fuzzer Space
Chuyang Chen, Brendan Dolan-Gavitt, Zhiqiang Lin
https://arxiv.org/abs/2506.10323

ELFuzz: Efficient Input Generation via LLM-driven Synthesis Over Fuzzer Space
Generation-based fuzzing produces appropriate testing cases according to specifications of input grammars and semantic constraints to test systems and software. However, these specifications require significant manual efforts to construct. This paper proposes a new approach, ELFuzz (Evolution Through Large Language Models for Fuzzing), that automatically synthesizes generation-based fuzzers tailored to a system under test (SUT) via LLM-driven synthesis over fuzzer space. At a high level, it sta…

Measuring Semantic Information Production in Generative Diffusion Models
Florian Handke, F\'elix Koulischer, Gabriel Raya, Luca Ambrogioni
https://arxiv.org/abs/2506.10433

Measuring Semantic Information Production in Generative Diffusion Models
It is well known that semantic and structural features of the generated images emerge at different times during the reverse dynamics of diffusion, a phenomenon that has been connected to physical phase transitions in magnets and other materials. In this paper, we introduce a general information-theoretic approach to measure when these class-semantic "decisions" are made during the generative process. By using an online formula for the optimal Bayesian classifier, we estimate the conditional ent…

Google says it is testing Audio Overviews for certain Search queries, available for Labs users in English in the US (Emma Roth/The Verge)
https://www.theverge.com/news/686904/google-audio-overviews-ai-podcast-search

Google’s test turns search results into an AI-generated podcast
Google is rolling out a test that puts Audio Overviews directly in your search results. The feature lets you generate AI podcast-style discussions based on certain queries.