Tootfinder

Joking aside, this advice is generally pretty good. Reducing social media usage *definitely* improves my mental health. The less time I use my phone, the better my focus is. Dopamine purges *really* help increasing creativity. Most of the things he's saying are pretty spot on, but I literally can't finish some tasks without help. My brain is just wired in a way that makes listening to a podcast while doing chores basically necessary. I just can't go to a normal gym. I go to a climbing gym because it make exercise actually interesting.
There are a lot of hacks ADHD folks have to use to do "normal" stuff. Neurotypical folks just can't seem to comprehend that.

Stable, which is building a new Layer 1 blockchain for stablecoins, raised a $28M seed co-led by Bitfinex and Hack VC (Yogita Khatri/The Block)
https://www.theblock.co/post/364952/tether-focused-layer-1-stable-raises-28-mi…

A Geometrical Acoustics based Focusing Algorithm for Layered Media in Medical Ultrasound
Simon Hackl, Simon Hubmer, Ronny Ramlau
https://arxiv.org/abs/2510.05951 https://…

A Geometrical Acoustics based Focusing Algorithm for Layered Media in Medical Ultrasound
Ultrasound imaging is a widely used, non-invasive diagnostic tool in modern medicine. A crucial assumption is a constant sound speed in the observed medium. For large scale sound speed variations, this assumption leads to blurred and distorted images. In this paper, we present a Geometrical Acoustics based Focusing Algorithm (GOAT) which is able to correct for these aberrations, given a known layered medium setting with continuously differentiable medium boundaries. Existence and uniqueness con…

Don't leave for the weekend without checking out today's Metacurity for the most critical infosec developments you should know, including
--CISA orders agencies to fix Cisco firewall zero day flaws by noon today,
--Microsoft terminates Israeli military access to surveillance system,
--Senate report documents DOGE's marauding ways,
--Dutch cops bust two teens for wi-fi sniffing,
--Hackers stole pics and info on 8,000 nursery school kids,
--Edge d…

CISA orders agencies to fix Cisco firewall zero day flaws by noon today
Microsoft terminates Israeli military access to surveillance system, Senate report documents DOGE's marauding ways, Dutch cops bust two teens for wi-fi sniffing, Hackers stole pics and info on 8,000 nursery school kids, Edge device-focused threat group RedNovember is aligned with China, much more

China-linked hackers use ‘BRICKSTORM’ backdoor to steal IP https://therecord.media/china-linked-hackers-brickstorm-backdoor-ip

MEDAKA: Construction of Biomedical Knowledge Graphs Using Large Language Models
Asmita Sengupta, David Antony Selby, Sebastian Josef Vollmer, Gerrit Gro{\ss}mann
https://arxiv.org/abs/2509.26128

MEDAKA: Construction of Biomedical Knowledge Graphs Using Large Language Models
Knowledge graphs (KGs) are increasingly used to represent biomedical information in structured, interpretable formats. However, existing biomedical KGs often focus narrowly on molecular interactions or adverse events, overlooking the rich data found in drug leaflets. In this work, we present (1) a hackable, end-to-end pipeline to create KGs from unstructured online content using a web scraper and an LLM; and (2) a curated dataset, MEDAKA, generated by applying this method to publicly available …

RLBFF: Binary Flexible Feedback to bridge between Human Feedback & Verifiable Rewards
Zhilin Wang, Jiaqi Zeng, Olivier Delalleau, Ellie Evans, Daniel Egert, Hoo-Chang Shin, Felipe Soares, Yi Dong, Oleksii Kuchaiev
https://arxiv.org/abs/2509.21319

RLBFF: Binary Flexible Feedback to bridge between Human Feedback & Verifiable Rewards
Reinforcement Learning with Human Feedback (RLHF) and Reinforcement Learning with Verifiable Rewards (RLVR) are the main RL paradigms used in LLM post-training, each offering distinct advantages. However, RLHF struggles with interpretability and reward hacking because it relies on human judgments that usually lack explicit criteria, whereas RLVR is limited in scope by its focus on correctness-based verifiers. We propose Reinforcement Learning with Binary Flexible Feedback (RLBFF), which combine…

Small Data Explainer -- The impact of small data methods in everyday life
Maren Hackenberg, Sophia G. Connor, Fabian Kabus, June Brawner, Ella Markham, Mahi Hardalupas, Areeq Chowdhury, Rolf Backofen, Anna K\"ottgen, Angelika Rohde, Nadine Binder, Harald Binder, the Collaborative Research Center 1597 Small Data
https://arxi…

Small Data Explainer -- The impact of small data methods in everyday life
The emergence of breakthrough artificial intelligence (AI) techniques has led to a renewed focus on how small data settings, i.e., settings with limited information, can benefit from such developments. This includes societal issues such as how best to include under-represented groups in data-driven policy and decision making, or the health benefits of assistive technologies such as wearables. We provide a conceptual overview, in particular contrasting small data with big data, and identify comm…