Tootfinder

The “Neural Data” Goldilocks Problem: Defining “Neural Data” in U.S. State Privacy Laws
https://fpf.org/blog/the-neural-data-goldilocks-problem-defining-neural-data-in-u-s-state-privacy-laws/
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#AIForensics' study (07/2025) reveals how AI-generated content floods #TikTok & #Instagram, with platforms failing to adequately label synthetic material.
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AI Generated Algorithmic Virality
This investigation systematically analyzes AI-generated content across TikTok and Instagram in three European countries. We found that 25% of TikTok's top search results contain synthetic AI imagery, with over 80% produced by "Agentic AI Accounts." Despite platforms' DSA commitments, only half of AI content receives proper labeling, creating significant risks for users.

Elite athletes warned to avoid one-night stands over risk of failing drug tests https://www.theguardian.com/sport/2025/may/01/elite-athletes-warned-to-avoid-one-night-stands-over-risk-of-failing-drug-tests

Factuality Beyond Coherence: Evaluating LLM Watermarking Methods for Medical Texts
Rochana Prih Hastuti, Rian Adam Rajagede, Mansour Al Ghanim, Mengxin Zheng, Qian Lou
https://arxiv.org/abs/2509.07755 …

Factuality Beyond Coherence: Evaluating LLM Watermarking Methods for Medical Texts
As large language models (LLMs) adapted to sensitive domains such as medicine, their fluency raises safety risks, particularly regarding provenance and accountability. Watermarking embeds detectable patterns to mitigate these risks, yet its reliability in medical contexts remains untested. Existing benchmarks focus on detection-quality tradeoffs, overlooking factual risks under low-entropy settings often exploited by watermarking's reweighting strategy. We propose a medical-focused evaluation w…

From Kardar-Parisi-Zhang scaling to soliton proliferation in Josephson junction arrays
Mikheil Tsitsishvili, Reinhold Egger, Karsten Flensberg, Sebastian Diehl
https://arxiv.org/abs/2509.08479

From Kardar-Parisi-Zhang scaling to soliton proliferation in Josephson junction arrays
We propose Josephson junction arrays as realistic platforms for observing nonequilibrium scaling laws characterizing the Kardar-Parisi-Zhang (KPZ) universality class, and space-time soliton proliferation. Focusing on a two-chain ladder geometry, we perform numerical simulations for the roughness function. Together with analytical arguments, our results predict KPZ scaling at intermediate time scales, extending over sufficiently long time scales to be observable, followed by a crossover to the a…

Increasingly combative tactics used by federal immigration agents are sparking violence and fueling neighborhood tensionsin the nation’s third-largest city.
“They are the ones that are making it a war zone,” Illinois Gov. JB Pritzker said Sunday on CNN.
“They fire tear gas and smoke grenades, and they make it look like it’s a war zone.”
U.S. citizens, immigrants with legal status and children have been among those detained
in increasingly brazen and aggressive encounter…

Immigration agents use increasingly aggressive tactics in Chicago, alarming activists and residents
Activists, residents and elected leaders say increasingly combative tactics used by federal immigration agents are sparking violence and fueling neighborhood tensions in the nation’s third-largest city. That includes storming an apartment complex by helicopter as families slept and deploying chemical agents near a public school. About 1,000 immigrants have been arrested since an immigration crackdown started last month in the Chicago area. But U.S. citizens, immigrants with legal status and c…

Additive Approximation Schemes for Low-Dimensional Embeddings
Prashanti Anderson, Ainesh Bakshi, Samuel B. Hopkins
https://arxiv.org/abs/2509.09652 https://

Additive Approximation Schemes for Low-Dimensional Embeddings
We consider the task of fitting low-dimensional embeddings to high-dimensional data. In particular, we study the $k$-Euclidean Metric Violation problem ($\textsf{$k$-EMV}$), where the input is $D \in \mathbb{R}^{\binom{n}{2}}_{\geq 0}$ and the goal is to find the closest vector $X \in \mathbb{M}_{k}$, where $\mathbb{M}_k \subset \mathbb{R}^{\binom{n}{2}}_{\geq 0}$ is the set of all $k$-dimensional Euclidean metrics on $n$ points, and closeness is formulated as the following optimization problem…

One thing that's bothered me about the aftermath of the loss at Stamford Bridge is the punditry acting like Cucurella's comment that they targeted the space behind Salah shows some sort of tactical brilliance by Maresca.
Literally EVERY team flings diagonal balls into space on that flank, a known risk and a calculation that Salah's lethality will negate a willingness for the LB to go forward and join the attack.
The real story is that he's not been dangerous and c…

Indonesia suspends TikTok's local operating license, saying it failed to share complete livestream activity data during protests following a government request (Chandra Asmara/Bloomberg)
https://www.bloomberg.com/news/articles/20