Tootfinder

Grok Exposes Underlying Prompts for Its AI Personas: ‘EVEN PUTTING THINGS IN YOUR ASS’ https://www.404media.co/grok-exposes-underlying-prompts-for-its-ai-personas-even-putting-things-in-your-ass/

Ex-Twitter CEO Parag Agrawal launches Parallel Web Systems to build infrastructure for AI agents to search the web, raising $30M from Khosla Ventures and others (Bloomberg)

I didn't expect a future where self-driving electric cars would spew nazi rants like somebody's crazy uncle.
https://www.usatoday.com/story/money/cars/2025/07/10/elon-musk-grok-tesla-vehicles/84535654007/

> US government announces $200 million Grok contract a week after ‘MechaHitler’ incident
This is one of those headlines that zips by in the movie's exposition-heavy title sequence.
https://www.theverge.com/news/706855/grok-mechahitler-xai-de…

US government announces $200 million Grok contract a week after ‘MechaHitler’ incident
The US Defense Department is awarding Elon Musk’s xAI a contract to help “develop agentic AI workflows” following an ill-fated Grok update.

Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems
Sohan Shankar, Yi Pan, Hanqi Jiang, Zhengliang Liu, Mohammad R. Darbandi, Agustin Lorenzo, Junhao Chen, Md Mehedi Hasan, Arif Hassan Zidan, Eliana Gelman, Joshua A. Konfrst, Jillian Y. Russell, Katelyn Fernandes, Tianze Yang, Yiwei Li, Huaqin Zhao, Afrar Jahin, Triparna Ganguly, Shair Dinesha, Yifan Zhou, Zihao Wu, Xinliang Li, Lokesh Adusumilli, Aziza Hussein, Sagar Nook…

Bridging Brains and Machines: A Unified Frontier in Neuroscience, Artificial Intelligence, and Neuromorphic Systems
This position and survey paper identifies the emerging convergence of neuroscience, artificial general intelligence (AGI), and neuromorphic computing toward a unified research paradigm. Using a framework grounded in brain physiology, we highlight how synaptic plasticity, sparse spike-based communication, and multimodal association provide design principles for next-generation AGI systems that potentially combine both human and machine intelligences. The review traces this evolution from early c…

The Doppler boosted LISA response to gravitational waves
Tom van der Steen, Henri Inchausp\'e, Thomas Hertog, Aur\'elien Hees
https://arxiv.org/abs/2509.10038 https://…

The Doppler boosted LISA response to gravitational waves
The future space-based gravitational wave observatory LISA is expected to detect massive black hole binaries (MBHBs) with high signal-to-noise ratios (SNRs), ranging up to thousands. Such high-precision observations require accurate modeling of the detector response. However, current derivations of the response function neglect the motion of the spacecraft during light travel time, omitting velocity-dependent terms of order $β= v/c \sim 10^{-4}$. In this work, we derive the velocity-dependent …

What is assinine about this is that Tesla's gift to Musk is based on increase in stock price, not on an increase in profits, market share, or any other metric of actual improved value within the company.
Tesla's board has got its head so far up musk's tailpipe that I fully expect that the rah-rah-sis-boom-bah Tesla Board of Directors will let musk bankrupt the company.
As far as I can see the only parts of Tesla that have any actual value are the supercharger and batt…

Will Elon Musk's Neuralink Blindsight brain implant for restoring vision to the blind outperform The vOICe visual-to-auditory sensory substitution running on smart glasses? Market expectations? #BCI #NeuroTech #blindness

Mediterranean Seascape in Impressionist Style

Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos
Yingyu Yang, Qianye Yang, Kangning Cui, Can Peng, Elena D'Alberti, Netzahualcoyotl Hernandez-Cruz, Olga Patey, Aris T. Papageorghiou, J. Alison Noble
https://arxiv.org/abs/2507.05154…

Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos
The identification of cardiac phase is an essential step for analysis and diagnosis of cardiac function. Automatic methods, especially data-driven methods for cardiac phase detection, typically require extensive annotations, which is time-consuming and labor-intensive. In this paper, we present an unsupervised framework for end-diastole (ED) and end-systole (ES) detection through self-supervised learning of latent cardiac motion trajectories from 4-chamber-view echocardiography videos. Our meth…

$\mathcal{CP}$-Analyses with Symbolic Regression
Henning Bahl, Elina Fuchs, Marco Menen, Tilman Plehn
https://arxiv.org/abs/2507.05858 https://

$\mathcal{CP}$-Analyses with Symbolic Regression
Searching for $\mathcal{CP}$ violation in Higgs interactions at the LHC is as challenging as it is important. Although modern machine learning outperforms traditional methods, its results are difficult to control and interpret, which is especially important if an unambiguous probe of a fundamental symmetry is required. We propose solving this problem by learning analytic formulas with symbolic regression. Using the complementary PySR and SymbolNet approaches, we learn $\mathcal{CP}$-sensitive o…