@[email protected] Thanks! I like to share links to articles that I personally find interesting :)
remixtures
"In a few years, almost everyone will claim they opposed this genocide. But it is now that people of good conscience need to take a stand. As economists we stand, today, with Francesca Albanese, the UN Special Rapporteur under attack by the US and Israeli governments because her recent report throws indescribably important light on the political economy of Israel’s occupation and genocide."
Privacy's Defender: My Thirty-Year Fight Against Digital Surveillance
by Cindy Cohn
"A personal chronicle of three key legal privacy battles that have defined the digital age and shaped the internet as we know it.
From the very beginning, Cindy Cohn was driven by a fundamental question: can we still have private conversations if we live our lives online? Privacy’s Defender chronicles her thirty-year battle to protect our right to digital privacy and shows just how central this right is to all our other rights, including our ability to organize and make change in the world.
Shattering the hypermasculine myth that our digital reality was solely the work of a handful of charismatic tech founders, the author weaves her own personal story with the history of Crypto Wars, FBI gag orders, and the post-9/11 surveillance state. She describes how she became a seasoned leader in the early digital rights movement, as well as how this work serendipitously helped her discover her birth parents and find her life partner. Along the way, she also details the development of the Electronic Frontier Foundation, which she grew from a ragtag group of lawyers and hackers into one of the most powerful digital rights organizations in the world.
Part memoir and part legal history for the general reader, the book is a compelling testament to just how hard-won the privacy rights we now enjoy as tech users are, but also how crucial these rights are in our efforts to combat authoritarianism, grow democracy, and strengthen human rights."
"On its face, that might sound not altogether different from Google Photos, which similarly might suggest AI tweaks to your images after you opt into Google Gemini. But unlike Google, which explicitly states that it does not train generative AI models with personal data gleaned from Google Photos, Meta’s current AI usage terms, which have been in place since June 23, 2024, do not provide any clarity as to whether unpublished photos accessed through “cloud processing” are exempt from being used as training data — and Meta would not clear that up for us going forward.
And while Daniels and Cubeta tell The Verge that opting in only gives Meta permission to retrieve 30 days worth of your unpublished camera roll at a time, it appears that Meta is retaining some data longer than that. “Camera roll suggestions based on themes, such as pets, weddings and graduations, may include media that is older than 30 days,” Meta writes.
Thankfully, Facebook users do have an option to turn off camera roll cloud processing in their settings, which, once activated, will also start removing unpublished photos from the cloud after 30 days.
The feature suggests a new incursion into our previously private data, one that bypasses the point of friction known as conscientiously deciding to post a photo for public consumption. And according to Reddit posts found by TechCrunch, Meta’s already offering AI restyling suggestions on previously-uploaded photos, even if users hadn’t been aware of the feature: one user reported that Facebook had Studio Ghiblified her wedding photos without her knowledge."
"Design Patterns for Securing LLM Agents against Prompt Injections (2025) by Luca Beurer-Kellner, Beat Buesser, Ana-Maria Creţu, Edoardo Debenedetti, Daniel Dobos, Daniel Fabian, Marc Fischer, David Froelicher, Kathrin Grosse, Daniel Naeff, Ezinwanne Ozoani, Andrew Paverd, Florian Tramèr, and Václav Volhejn.
I’m so excited to see papers like this starting to appear. I wrote about Google DeepMind’s Defeating Prompt Injections by Design paper (aka the CaMeL paper) back in April, which was the first paper I’d seen that proposed a credible solution to some of the challenges posed by prompt injection against tool-using LLM systems (often referred to as “agents”).
This new paper provides a robust explanation of prompt injection, then proposes six design patterns to help protect against it, including the pattern proposed by the CaMeL paper."
https://simonwillison.net/2025/Jun/13/prompt-injection-design-patterns/
@[email protected] I don't think it's so obvious as that. At least AI companies are giving users the option of deleting their data. And they also allow users to make use of their services very much for free. Copyright companies don't care about that. They want total control so that every online use of the works they own must be licensed. They want everyone to pay a rent. The ideia that they value art, culture, knowledge or public enlightenment is just bullshit. Even more so for media companies such as The New York Times which are always stating that they're essential to Democracy.
"Amp is an agentic coding tool built by Sourcegraph. It runs in VS Code (and compatible forks like Cursor, Windsurf, and VSCodium) and as a command-line tool. It’s also multiplayer — you can share threads and collaborate with your team.
Principles
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Amp is unconstrained in token usage (and therefore cost). Our sole incentive is to make it valuable, not to match the cost of a subscription.
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No model selector, always the best models. You don’t pick models, we do. Instead of offering selectors and checkboxes and building for the lowest common denominator, Amp is built to use the full capabilities of the best models.
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We assume that you want to access the raw power these models have to offer.
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Built to change. Products that are overfit on the capabilities of today’s models will be obsolete in a matter of months."
@[email protected] Yes, but that's in the U.S., only - at least as of now.