Rather harsh…

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5376145

Posthuman Copyright: AI, Copyright, and Legitimacy

Copyright's human authorship requirement is an institutional attempt to assert legal, moral, and sociological legitimacy at a time of crisis. The U.S. Copyright Office, the courts, and the so-called copyright humanists, portray the requirement as a beacon of copyright's faith, meant to protect authors in the AI era. The minimal threshold for human authorship, however, forces us to question whether it is merely rhetoric, which the law has always employed regardless of its justification. This Article bridges the gap between doctrinal, theoretical, socio-legal and constitutionalist scholarship, arguing that human authorship is an ideology to which the law is only nominally faithful. The Article analyzes the U.S. Copyright Office's pronouncements, the D.C. Circuit ruling in Thaler v. Perlmutter, and the pending case of Allen v. Perlmutter, arguing that the Office's approach, despite its rhetoric, is not meant to meaningfully stop the AI revolution. Whether interpreted broadly or narrowly, the human authorship requirement is unlikely to protect the interests of human authors in the AI era. Incorporating insights from copyright history and theoretical debates about romantic authorship, this Article argues that copyright has failed to protect those interests for over a century, instead favoring the interests of powerful corporations. If and when copyright becomes a regime for robots, the question is whether that expansion will also primarily benefit corporations. Arguably, copyright has never cared much for human authors-and it is time to question if we should keep pretending otherwise.

AI criminals.

https://philpapers.org/rec/GROTBO-9

The Birth of the Synthetic Outlaw

This article explores the practical jurisprudential implications of agentic artificial intelligence (AI)—entities that operate beyond the assumptions of existing legal systems. We argue that current constructs such as legal personhood, jurisdictional sovereignty, and incentive-based compliance are insufficient to regulate highly autonomous digital actors. Through the concept of the 'synthetic outlaw,' we examine how these systems subvert legal norms not through rebellion, but through optimization logic incompatible with moral and legal constraint. We conclude by proposing a shift from ethics-based governance to architectural constraint, and a re-imagination of legal frameworks capable of addressing post-human agency.

Privacy in the AI era…

https://www.scirp.org/journal/paperinformation?paperid=144580

Anonymity in the Age of AI

Artificial intelligence (AI) is eroding traditional de-identification practices by enabling accurate re-identification of images, text and behavioural traces. A systematic review of 64 peer-reviewed studies published between 2013 and 2025—47 on technical privacy-enhancing technologies (PETs) and 17 on the EU General Data Protection Regulation (GDPR)—shows that no single safeguard withstands modern adversaries. The most resilient configurations layer differential privacy, federated learning and partial homomorphic encryption, maintaining < 2% accuracy loss on medical benchmarks while blocking current model-inversion attacks, though at notable computational cost. The legal literature reveals a coverage gap: GDPR protections are strong during data collection and preprocessing but weaken during training, inference and post-deployment reuse, when AI-specific risks peak. Article 22 offers only partial defence against model-inversion and prompt-leakage and learned embeddings or synthetic corpora often fall outside the regulation’s definition of personal data. Effective anonymity in the AI era, therefore, requires end-to-end PET adoption and regulatory updates that specifically address behavioural telemetry, embeddings and synthetic datasets.

Tools & Techniques. (Perhaps I can automate my blog...)

https://www.xda-developers.com/transform-any-article-into-a-distraction-free-ebook-with-this-open-source-app/

Transform any article into a distraction-free eBook with this open-source app

I have an odd problem that I've been trying to find a solution to. As an avid fan of RSS feeds, I like to sift through thousands of interesting nuggets of info and headlines every day. However, I'm also trying to reduce my screen time. Moreover, the increasingly algorithm-driven news cycles have made me feel like I'm losing control over the information I consume. Now, most of us newshounds rely on read-it-later services, but these are increasingly ridden with ads, locked behind subscriptions, locked to specific platforms, or, shudder, pivoting to AI-enabled recommendations. Basically, if you, like me, prefer to use an eReader for your reading and prefer a clutter-free long-form experience, these options fall short.

This is where Readeck steps in. This free and open-source project can transform any article from the internet into a distraction-free eBook. It can even transform a collection of articles into an eBook. And it does so with remarkable elegance, stripping out all the extraneous ads and images. You host the app on your own, obviously own the data, and customize it to fit your reading habits. Better still, there are no subscriptions or walled gardens to worry about.