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.
> The same hidden room is fitted with hot-air extraction systems, possibly suggesting the installation of heat-generating equipment such as advanced computers used for espionage.
It's not that I don't think chanceries get used as a base for spying, but embassies have *other* reasons to need a server room - which, like all server rooms, generate heat.
I know dunking on Google's AI summaries is cheap, but this did give me a chuckle:
Using systems that can barely write a coherent sentence or return verifiable results in a search, to "speed up the construction" of one of the most complex and dangerous systems ever devised by humans?
What could go wrong?
I also watched MELTDOWN - Three Mile Island on Netflix last night… it's good.
#AI #LLM #NuclearSlop #WereAllGonnaDie #Stupid #Human #Nuclear https://mastodon.social/@404mediaco/115549364008098533
I wrote a blog post about the often stated but never explained assumption that communities in graphs should always be connected.
This “connected cluster axiom” is inconsistent with statistical significance and null models that underlie the most widely employed methods.
https://skewed.de/lab/posts/connected-
Bound and Resonant States of Muonic Few-Body Coulomb Systems: Extended Stochastic Variational Approach
Liang-Zhen Wen, Shi-Lin Zhu
https://arxiv.org/abs/2512.07323 https://arxiv.org/pdf/2512.07323 https://arxiv.org/html/2512.07323
arXiv:2512.07323v1 Announce Type: new
Abstract: We compute the bound and resonant states of hydrogen-like muonic ions ($\mu\mu p$, $\mu\mu d$, $\mu\mu t$) and three-body muonic molecular ions ($pp\mu$, $pd\mu$, $pt\mu$, $dd\mu$, $dt\mu$, $tt\mu$), and the four-body double-muonic hydrogen molecule ($\mu\mu pp$) using an extended stochastic variational method combined with complex scaling. The approach provides a unified treatment of bound and quasibound states and achieves an energy accuracy better than $0.1~\mathrm{eV}$ across all systems studied. Complete spectra below the corresponding $n=2$ atomic thresholds are obtained, including several previously unresolved shallow resonances in both three- and four-body sectors.
toXiv_bot_toot
Urban Texture III 🧩
城市质地 III 🧩
📷 Nikon F4E
🎞️ ERA 100, expired 1993
#filmphotography #Photography #blackandwhite
If you are an anti-fascist, you are against petroleum. Petroleum funds fascism globally. It is at the heart of the military industrial complex driving global imperialism, from both the US and Russia. Motonormitivity is fascist, both in it's elitist roots and in it's ties to historical fascism (Hitler hated bikes, just on principle). Oil is militarism.
Oil is the dominant resource which drives war, both in terms of it being the primary spoil wars are fought over and in terms of fueling the military vehicles and weapons that carry out those wars. Practically every war since (and including) WWII has been over oil. Genocides are carried out to secure oil. Gaza is over oil, in more ways than one.
Oil is the absolute enemy, and AI is simply an extension of that: an attempt to atomize us so we can't resist the oil-centric global order, one last grasp at the control over our lives oil has given to those whose power is now threatened by a solar punk future.
"I haven't written for a few weeks now. As I write the closing chapter and begin rewriting previous sections, everything feels both more distant and more immediate. The working title [Kairos] has only continued to feel more and more resonant, both during the writing and during my pause."
Now is the time to resist by making something different, by creating a world fundamentally opposed to these systems of oppression.
This is the last in my Kairos series. From here on out I'll be editing to try and make it more of a book than a series of posts. Thanks to everyone who has helped so far. All editing is welcome (typos, spell checks, questions and challenges). Between ADHD and dyslexia, it's always hard for my brain to notice mistakes in my own text so I always appreciate the support of those who can.
https://anarchoccultism.org/building-zion/kairos
How do we create real, lasting change in some of the biggest/most complex systems in our world?
https://www.youtube.com/watch?v=lOH4VDHwmsY
Experimental insights into data augmentation techniques for deep learning-based multimode fiber imaging: limitations and success
Jawaria Maqbool, M. Imran Cheema
https://arxiv.org/abs/2511.19072 https://arxiv.org/pdf/2511.19072 https://arxiv.org/html/2511.19072
arXiv:2511.19072v1 Announce Type: new
Abstract: Multimode fiber~(MMF) imaging using deep learning has high potential to produce compact, minimally invasive endoscopic systems. Nevertheless, it relies on large, diverse real-world medical data, whose availability is limited by privacy concerns and practical challenges. Although data augmentation has been extensively studied in various other deep learning tasks, it has not been systematically explored for MMF imaging. This work provides the first in-depth experimental and computational study on the efficacy and limitations of augmentation techniques in this field. We demonstrate that standard image transformations and conditional generative adversarial-based synthetic speckle generation fail to improve, or even deteriorate, reconstruction quality, as they neglect the complex modal interference and dispersion that results in speckle formation. To address this, we introduce a physical data augmentation method in which only organ images are digitally transformed, while their corresponding speckles are experimentally acquired via fiber. This approach preserves the physics of light-fiber interaction and enhances the reconstruction structural similarity index measure~(SSIM) by up to 17\%, forming a viable system for reliable MMF imaging under limited data conditions.
toXiv_bot_toot
Classifying Complex Dynamical and Stochastic Systems via Physics-Based Recurrence Features
J. V. M. Silveira, H. C. Costa, G. S. Spezzatto, T. L. Prado, S. R. Lopes
https://arxiv.org/abs/2511.19731
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