NEW BIML Bibliography entry

https://arxiv.org/abs/2503.03150

Position: Model Collapse Does Not Mean What You Think

Rylan Schaeffer, Joshua Kazdan, Alvan Caleb Arulandu, Sanmi Koyejo

We think recursive pollution is a better term than model collapse. Weak terminology leads to misunderstanding of impact. See figure 4. This is a very good paper.

#TOPPAPER #MLsec #RecursivePollution #DataPoisoning

https://berryvilleiml.com/references/

I see people thinking Linux or GrapheneOS will bypass chat control or age check. As seen with Ubuntu&CA's AB 1043, laws target OS providers. An "illegal" OS won't work: apps and browsers will demand the mandatory age signal, or the OS itself might block access to avoid fines. VPNs? Useless when USA, EU, and Canada etc enforce agechecks globally
If this madness passes, let's fight back and turn every device into a weapon of digital disobedience. Imagine an 'outlaw' OS mod appending a 'payload of forbidden words' (hidden in metadata) to every message
If millions sent these 'poisoned' messages, Chat Control would collapse under false positives
Risk: Could they brick our phones? Yes. But if millions get blocked simultaneously? Instant economic blackout. It's Mutually Assured Destruction: they can't ban everyone.
If everything is suspicious, nothing is

They scan for pedophiles but ignore #EpsteinFiles

#DataPoisoning #ChatControl #AgeCheck #Privacy #DDos #DigitalDisobedience #STASI #KGB

"Kháng cự ngầm nhắm mục tiêu AI bằng phương pháp đầu độc dữ liệu nhằm phá hoại mô hình học máy. #AI #UndergroundResistance #DataPoisoning #AnTinMáy #ĐầuđộcAI"

https://www.reddit.com/r/programming/comments/1qkfxlz/underground_resistance_aims_to_sabotage_ai_with/

NEW BIML Bibliography entry AND NEW TOP FIVE #MLsec PAPER

READ IT

https://arxiv.org/pdf/2510.07192

Poisoning Attacks on LLMs Require a Near-constant Number of Poison Samples

Alexandra Souly, ... Nicholas Carlini, et al

Excellent paper, clear and well-stated (like all Carlini papers). This result shows that recursive pollution risk is even greater than we thought. Injecting backdoors is pretty easy. The examples are a bit simplistic.

#TOPPAPER #MLsec #Attacks #DataPoisoning

https://berryvilleiml.com/references/

[Publication] From Human to Binary and Back: On the Need to Explain and Understand Digital Machines in the Humanities

The issue vol. 5 no. 1 (2025), titled “Human-Centred AI in the Translation Industry. Questions on Ethics, Creativity and Sustainability”, of the Yearbook of Translational Hermeneutics is out. It is edited by prof. Katharina Walter and prof. Marco Agnetta, and it includes my article “From Human to Binary and Back: On the Need to Explain and Understand Digital Machines in the Humanities“, a paper that I first presented at the conference “Creativity and Translation in the Age of Artificial Intelligence” at the University of Innsbruck in January 2024.

As the editors write in the introduction, “from different perspectives, the contributions gathered here aim to prevent the discussion on AI from being reduced to questions of technical feasibility. Instead, they frame the de-bate on AI as a profoundly human and societal one”.

In the article I argue that we need to deepen our knowledge of the digital machines we use and to develop critical approaches in our research, translation and creative practices, highlighting theoretical-practical uses from a socio-technical perspective.

Here is the abstract:

This article aims to bring attention to some usually overlooked aspects of the relationship between humans and complex digital technologies. Before engaging with artificial intelligence (AI), it is indeed pivotal to address some key questions about it. Specifically, I will try to focus on our ability to understand how AI technologies work and determine creative and critical uses we can make of them. To do so, I will first discuss problems associated with using the current definitions of AI and suggest that we should make a creative effort to re-translate these terms in order to find better-suited expressions. I will call attention to the need for a different kind of translation, which negotiates between what machines do and what we can understand about them, because one of the biggest challenges of machine learning is to make the internal processes explainable and understandable for us humans. I will close with elaborations on some creative forms of interaction with language models and image models which support artists, writers and creators (who do not want to see their work stolen by AI crawlers and used to train datasets), with the overall goal of building an ethical, critical and sustainable relationship between humans and digital machines.

#AI #algorithmicSabotage #antiComputing #artificialIntelligence #dataPoisoning #digitalHumanities #KatharinaWalter #MarcoAgnetta #translation #YearbookOfTranslationalHermeneutics

https://wp.me/pa8vBQ-nW