Tootfinder

Check out today's packed Metacurity for the most critical infosec developments you should know, including
--Venezuela's state-run oil company PDVSA was hit by a cyberattack,
--Coupang's founder failed to show at parliamentary hearing,
--Vast majority of parked domains foist scams and malware,
--FTC orders Nomad to pay victims after hackers stole cryptocurrency,
--noyb alleges data exposure by TikTok, Grindr and AppFlyer,
--Hackers exploit critica…

Venezuela's state-run oil company PDVSA was hit by a cyberattack
Coupang's founder didn't show at parliamentary hearing, Majority of parked domains foist scams and malware, FTC orders Nomad to pay victims after hackers stole cryptocurrency, noyb alleges data exposure by TikTok, Grindr and AppFlyer, Hackers exploit critical flaws in Fortinet products, much more

A plant that looks like a fungus,
lives like a parasite,
and clones itself in the dark
—Balanophora may be one of evolution’s strangest experiments.
At the foot of moss-covered trees in the mountains of Taiwan and mainland Japan,
as well as within the subtropical forests of Okinawa,
an unusual organism emerges from the forest floor.
It is often mistaken for a mushroom,
yet it is actually a rare flowering plant that produces some of the smallest…

I think we can actually prove that this constraint is the *only* constraint that can preserve freedom:
1. There will exist actors in a system who will wish to take advantage of others. Evolution drives survival and one strategy for increasing survival in an altruistic society is to become a parasite.
2. Expecting exploitative dynamics, a system needs to have a set of rules to manage exploitation.
3. If the set of rules is static it will lack the requisite variety necessary to manage the infinite possible behavior of humans so the system will fail.
4. If the system is dynamic then it must have a rule set about how it's own rules are updated. This would make the system recursive, which makes the system at least as complex as mathematics. Any system at least as complex as mathematics is necessarily either incomplete or inconsistent (Gödel's incompleteness theorem). If the system is incomplete, then constraints can be evaded which then allow a malicious agent to seize control of the system and update the rules for their own benefit. If constraints are incomplete, then a malicious agent can take advantage of others within the system.
5. Therefore, no social system can possibly protect freedom unless there exists a single metasystemic constraint (that the system must be optional) allowing for the system to be abandoned when compromised.
Oh, you might say, but this just means you have to infinitely abandon systems. Sure, but there's an evolutionary advantage to cooperation so there's evolutionary pressure to *not* be a malicious actor. So a malicious actor being able to compromise the whole system is likely to be a much more rare event. Compromising a system is a lot of work, so the first thing a malicious actor would want to do is preserve that work. They would want to lock you in. The most important objective to a malicious actor compromising a system would be to violate that metasystemic constraint, or all of their work goes out the window when everyone leaves.
And now you understand why borders exist, why fascists are obsessed with maintaining categories like gender, race, ethnicity, etc. This is why even Democrats like Newsom are on board with putting houseless people in concentration camps. And this is why the most important thing anarchists promote is the ability to choose not to be part of any of that.

Optimal Treatment Rules under Missing Predictive Covariates: A Covariate-Balancing Doubly Robust Approach
Yue Zhang, Shanshan Luo, Zhi Geng, Yangbo He
https://arxiv.org/abs/2510.12321

Optimal Treatment Rules under Missing Predictive Covariates: A Covariate-Balancing Doubly Robust Approach
In precision medicine, one of the most important problems is estimating the optimal individualized treatment rules (ITR), which typically involves recommending treatment decisions based on fully observed individual characteristics of patients to maximize overall clinical benefit. In practice, however, there may be missing covariates that are not necessarily confounders, and it remains uncertain whether these missing covariates should be included for learning optimal ITRs. In this paper, we prop…

CAMNet: Leveraging Cooperative Awareness Messages for Vehicle Trajectory Prediction
Mattia Grasselli, Angelo Porrello, Carlo Augusto Grazia
https://arxiv.org/abs/2510.12703 http…

CAMNet: Leveraging Cooperative Awareness Messages for Vehicle Trajectory Prediction
Autonomous driving remains a challenging task, particularly due to safety concerns. Modern vehicles are typically equipped with expensive sensors such as LiDAR, cameras, and radars to reduce the risk of accidents. However, these sensors face inherent limitations: their field of view and line of sight can be obstructed by other vehicles, thereby reducing situational awareness. In this context, vehicle-to-vehicle communication plays a crucial role, as it enables cars to share information and rema…

Pooling Probabilistic Forecasts for Cooperative Wind Power Offering
Honglin Wen, Pierre Pinson
https://arxiv.org/abs/2510.12382 https://arxiv.org/pdf/2510.…

Pooling Probabilistic Forecasts for Cooperative Wind Power Offering
Wind power producers can benefit from forming coalitions to participate cooperatively in electricity markets. To support such collaboration, various profit allocation rules rooted in cooperative game theory have been proposed. However, existing approaches overlook the lack of coherence among producers regarding forecast information, which may lead to ambiguity in offering and allocations. In this paper, we introduce a ``reconcile-then-optimize'' framework for cooperative market offerings. This …

Cybersecurity AI: Humanoid Robots as Attack Vectors
V\'ictor Mayoral-Vilches
https://arxiv.org/abs/2509.14139 https://arxiv.org/pdf/2509.14139

Cybersecurity AI: Humanoid Robots as Attack Vectors
We present a systematic security assessment of the Unitree G1 humanoid showing it operates simultaneously as a covert surveillance node and can be purposed as an active cyber operations platform. Partial reverse engineering of Unitree's proprietary FMX encryption reveal a static Blowfish-ECB layer and a predictable LCG mask-enabled inspection of the system's otherwise sophisticated security architecture, the most mature we have observed in commercial robotics. Two empirical case studies expose …

Rudolf Rocker described anarcho-syndicalism as an economy rooted in local, autonomous unions, workers themselves organizing and coordinating production cooperatively, without bosses or capitalists.
#Anarchism #Syndicalism

Life is short, so check out today's Metacurity for a concise rundown of the most critical infosec developments you should know, including
--California sets global standards with new landmark AI and data privacy laws,
--UK highly significant cyberattacks jumped by 50% over the past year,
--Australian cyber incidents rose 11% over the past year,
--Ofcom fined 4chan under new online safety regime,
--Researchers eavesdropped on sensitive satellite comms,
--…

California sets global standards with new landmark AI and data privacy laws
UK highly significant cyberattacks jumped by 50% over the past year, Australian cyber incidents rose 11% over the past year, Ofcom fined 4chan under new online safety regime, Researchers eavesdropped on sensitive satellite comms, Stingrays were used near Portland protest, much more

Homomorphic encryption schemes based on coding theory and polynomials
Giovanni Giuseppe Grimaldi
https://arxiv.org/abs/2509.13788 https://arxiv.org/pdf/250…

Homomorphic encryption schemes based on coding theory and polynomials
Homomorphic encryption is a powerful cryptographic tool that enables secure computations on the private data. It evaluates any function for any operation securely on the encrypted data without knowing its corresponding plaintext. For original data $p$, $c$ denotes the ciphertext of the original plaintext $p$, i.e. $c = Encrypt_k(p)$. This is crucial for any sensitive application running in the Cloud, because we must protect data privacy even in the case when the server has falled victim to a cy…