Tootfinder

Anthony Pompliano's ProCap raised $750M , including $235M in convertible debt, and is going public via a SPAC; the new firm aims to hold up to $1B in bitcoin (MacKenzie Sigalos/CNBC)
https://www.cnbc.com/2025/06/23/pompliano-procap-spac-bitcoin.html…

Pompliano’s ProCap raises over $750 million, goes public via SPAC as bitcoin treasury bubble grows
Led by investor and podcast host Anthony Pompliano, ProCap raised more than $750 million in its funding round, including $235 million in convertible debt.

Orbital Collision: An Indigenously Developed Web-based Space Situational Awareness Platform
Partha Chowdhury, Harsha M, Ayush Gupta, Sanat K Biswas
https://arxiv.org/abs/2506.16892

Orbital Collision: An Indigenously Developed Web-based Space Situational Awareness Platform
This work presents an indigenous web based platform Orbital Collision (OrCo), created by the Space Systems Laboratory at IIIT Delhi, to enhance Space Situational Awareness (SSA) by predicting collision probabilities of space objects using Two Line Elements (TLE) data. The work highlights the growing challenges of congestion in the Earth's orbital environment, mainly due to space debris and defunct satellites, which increase collision risks. It employs several methods for propagating orbital unc…

Timecube guy's getting hammered in a dive bar RN.
https://phys.org/news/2025-06-theory-dimensions-space-secondary-effect.amp

New theory proposes time has three dimensions, with space as a secondary effect
Time, not space plus time, might be the single fundamental property in which all physical phenomena occur, according to a new theory by a University of Alaska Fairbanks scientist.

Kristi Noem's stupidity is an existential threat - Raw Story
https://www.rawstory.com/raw-investigates/t…

Kristi Noem's stupidity is an existential threat
“Whoever would overthrow the liberty of a nation must begin by subduing the freeness of speech.” — Benjamin FranklinThe Trump administration just refused to allow an Australian writer entry to America because he’d penned articles on his personal blog critical of the administration’s support for the ...

Improved Intelligibility of Dysarthric Speech using Conditional Flow Matching
Shoutrik Das, Nishant Singh, Arjun Gangwar, S Umesh
https://arxiv.org/abs/2506.16127

Improved Intelligibility of Dysarthric Speech using Conditional Flow Matching
Dysarthria is a neurological disorder that significantly impairs speech intelligibility, often rendering affected individuals unable to communicate effectively. This necessitates the development of robust dysarthric-to-regular speech conversion techniques. In this work, we investigate the utility and limitations of self-supervised learning (SSL) features and their quantized representations as an alternative to mel-spectrograms for speech generation. Additionally, we explore methods to mitigate …

Sheri Byrne-Haber points out that some disability-related orgs use overlays and as a result you should probably not trust those orgs:
https://www.linkedin.com/posts/sheribyrnehaber_access…

Autism Speaks. | Sheri Byrne-Haber (disabled)
Autism Speaks. United Spinal Association. Special Olympics. @Sins Invalid. What do they have in common? They are all organizations that claim to be allies of people who are neurodiverse or have disabilities. Every single one of them uses an overlay on their websites. Overlays are shortcuts that don’t resolve accessibility barriers created through sloppy coding practices. They create a false sense of compliance, often interfering with assistive technology and user experience. Overlay compan…

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition
Aref Farhadipour, Homayoon Beigi, Volker Dellwo, Hadi Veisi
https://arxiv.org/abs/2506.16969

State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition
Whispered speech recognition presents significant challenges for conventional automatic speech recognition systems, particularly when combined with dialect variation. However, utilizing an efficient method to solve this problem using a low-range dataset and processing load is beneficial. This paper proposes a solution using a Mamba-based state-space model and four fine-tuned self-supervised models consisting of Wav2Vec2, WavLM, HuBERT, and Whisper to address the dual challenges of whispered spe…

Kinematic Model Optimization via Differentiable Contact Manifold for In-Space Manipulation
Abhay Negi, Omey M. Manyar, Satyandra K. Gupta
https://arxiv.org/abs/2506.17458

Kinematic Model Optimization via Differentiable Contact Manifold for In-Space Manipulation
Robotic manipulation in space is essential for emerging applications such as debris removal and in-space servicing, assembly, and manufacturing (ISAM). A key requirement for these tasks is the ability to perform precise, contact-rich manipulation under significant uncertainty. In particular, thermal-induced deformation of manipulator links and temperature-dependent encoder bias introduce kinematic parameter errors that significantly degrade end-effector accuracy. Traditional calibration techniq…

Towards Bitrate-Efficient and Noise-Robust Speech Coding with Variable Bitrate RVQ
Yunkee Chae, Kyogu Lee
https://arxiv.org/abs/2506.16538 https://

Towards Bitrate-Efficient and Noise-Robust Speech Coding with Variable Bitrate RVQ
Residual Vector Quantization (RVQ) has become a dominant approach in neural speech and audio coding, providing high-fidelity compression. However, speech coding presents additional challenges due to real-world noise, which degrades compression efficiency. Standard codecs allocate bits uniformly, wasting bitrate on noise components that do not contribute to intelligibility. This paper introduces a Variable Bitrate RVQ (VRVQ) framework for noise-robust speech coding, dynamically adjusting bitrate…

A Scalable Post-Processing Pipeline for Large-Scale Free-Space Multi-Agent Path Planning with PiBT
Arjo Chakravarty, Michael X. Grey, M. A. Viraj J. Muthugala, Mohan Rajesh Elara
https://arxiv.org/abs/2506.16748

A Scalable Post-Processing Pipeline for Large-Scale Free-Space Multi-Agent Path Planning with PiBT
Free-space multi-agent path planning remains challenging at large scales. Most existing methods either offer optimality guarantees but do not scale beyond a few dozen agents, or rely on grid-world assumptions that do not generalize well to continuous space. In this work, we propose a hybrid, rule-based planning framework that combines Priority Inheritance with Backtracking (PiBT) with a novel safety-aware path smoothing method. Our approach extends PiBT to 8-connected grids and selectively appl…