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Over the last several decades, the Food and Drug Administration has allowed pharma companies to sell hundreds of drugs to patients without adequate evidence that they work and, in many cases, with clear signs that they pose a risk of serious harm.

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Anthropic behaving badly? Shocking!

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Google's CEO, Sundar Pichai, is doing something unexpected for one of the biggest names in tech: casually building web apps with AI coding assistants.

"I wish I could do more," Pichai said on Wednesday at Bloomberg Tech in San Francisco.

"I've just been messing around — either with Cursor or I vibe coded with Replit — trying to build a custom webpage with all the sources of information I wanted in one place. I could type a location and get it all," Pichai said.

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Still a work in progress, but even at this stage, I hope it can help you and anyone you know who has been affected by the Pocket shutdown.

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Just a little bit more privacy invasion. C'mon, juuuust a little.. 'till you no longer notice.

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Redox is also hiring committed FOSS developers and is also looking for new board members.

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I don't know if this is an acceptable format for a submission here, but here it goes anyway:

Wikimedia Foundation has been developing an LLM that would produce simplified Wikipedia article summaries, as described here: https://www.mediawiki.org/wiki/Reading/Web/Content_Discovery_Experiments/Simple_Article_Summaries

We would like to provide article summaries, which would simplify the content of the articles. This will make content more readable and accessible, and thus easier to discover and learn from. This part of the project focuses only on displaying the summaries. A future experiment will study ways of editing and adjusting this content.

Currently, much of the encyclopedic quality content is long-form and thus difficult to parse quickly. In addition, it is written at a reading level much higher than that of the average adult. Projects that simplify content, such as Simple English Wikipedia or Basque Txikipedia, are designed to address some of these issues. They do this by having editors manually create simpler versions of articles. However, these projects have so far had very limited success - they are only available in a few languages and have been difficult to scale. In addition, they ask editors to rewrite content that they have already written. This can feel very repetitive.

In our previous research (Content Simplification), we have identified two needs:

  • The need for readers to quickly get an overview of a given article or page
  • The need for this overview to be written in language the reader can understand

Etc., you should check the full text yourself. There's a brief video showing how it might look: https://www.youtube.com/watch?v=DC8JB7q7SZc

This hasn't been met with warm reactions, the comments on the respective talk page have questioned the purposefulness of the tool (shouldn't the introductory paragraphs do the same job already?), and some other complaints have been provided as well:

Taking a quote from the page for the usability study:

"Most readers in the US can comfortably read at a grade 5 level,[CN] yet most Wikipedia articles are written in language that requires a grade 9 or higher reading level."

Also stated on the same page, the study only had 8 participants, most of which did not speak English as their first language. AI skepticism was low among them, with one even mentioning they 'use AI for everything'. I sincerely doubt this is a representative sample and the fact this project is still going while being based on such shoddy data is shocking to me. Especially considering that the current Qualtrics survey seems to be more about how to best implement such a feature as opposed to the question of whether or not it should be implemented in the first place. I don't think AI-generated content has a place on Wikipedia. The Morrison Man (talk) 23:19, 3 June 2025 (UTC)

The survey the user mentions is this one: https://wikimedia.qualtrics.com/jfe/form/SV_1XiNLmcNJxPeMqq and true enough it pretty much takes for granted that the summaries will be added, there's no judgment of their actual quality, and they're only asking for people's feedback on how they should be presented. I filled it out and couldn't even find the space to say that e.g. the summary they show is written almost insultingly, like it's meant for very dumb children, and I couldn't even tekk whether it is accurate because they just scroll around in the video.

Very extensive discussion is going on at the Village Pump (en.wiki).

The comments are also overwhelmingly negative, some of them pointing out that the summary doesn't summarise the article properly ("Perhaps the AI is hallucinating, or perhaps it's drawing from other sources like any widespread llm. What it definitely doesn't seem to be doing is taking existing article text and simplifying it." - user CMD). A few comments acknowlegde potential benefits of the summaries, though with a significantly different approach to using them:

I'm glad that WMF is thinking about a solution of a key problem on Wikipedia: most of our technical articles are way too difficult. My experience with AI summaries on Wikiwand is that it is useful, but too often produces misinformation not present in the article it "summarises". Any information shown to readers should be greenlit by editors in advance, for each individual article. Maybe we can use it as inspiration for writing articles appropriate for our broad audience. —Femke 🐦 (talk) 16:30, 3 June 2025 (UTC)

One of the reasons many prefer chatGPT to Wikipedia is that too large a share of our technical articles are way way too difficult for the intended audience. And we need those readers, so they can become future editors. Ideally, we would fix this ourselves, but my impression is that we usually make articles more difficult, not easier, when they go through GAN and FAC. As a second-best solution, we might try this as long as we have good safeguards in place. —Femke 🐦 (talk) 18:32, 3 June 2025 (UTC)

Finally, some comments are problematising the whole situation with WMF working behind the actual wikis' backs:

This is a prime reason I tried to formulate my statement on WP:VPWMF#Statement proposed by berchanhimez requesting that we be informed "early and often" of new developments. We shouldn't be finding out about this a week or two before a test, and we should have the opportunity to inform the WMF if we would approve such a test before they put their effort into making one happen. I think this is a clear example of needing to make a statement like that to the WMF that we do not approve of things being developed in virtual secret (having to go to Meta or MediaWikiWiki to find out about them) and we want to be informed sooner rather than later. I invite anyone who shares concerns over the timeline of this to review my (and others') statements there and contribute to them if they feel so inclined. I know the wording of mine is quite long and probably less than ideal - I have no problem if others make edits to the wording or flow of it to improve it.

Oh, and to be blunt, I do not support testing this publicly without significantly more editor input from the local wikis involved - whether that's an opt-in logged-in test for people who want it, or what. Regards, -bɜ:ʳkənhɪmez | me | talk to me! 22:55, 3 June 2025 (UTC)

Again, I recommend reading the whole discussion yourself.

EDIT: WMF has announced they're putting this on hold after the negative reaction from the editors' community. ("we’ll pause the launch of the experiment so that we can focus on this discussion first and determine next steps together")

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A federal judge ruled today that Florida cannot enforce a law that requires social media platforms to block kids from using their platforms. The state law "is likely unconstitutional," US Judge Mark Walker of the Northern District of Florida ruled while granting the tech industry's request for a preliminary injunction...

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Archive.

The key reason is that we just don’t have enough people on the admin team to keep the place running. Most of the admin team has stepped down, mostly due to burnout, and finding replacements hasn’t worked out.

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  • The Rise of "Little Tech": Small startups and SaaS vendors—often backed by Silicon Valley venture capital—are leading the charge in AI-powered workplace surveillance, embedding tracking tools into everyday HR and productivity software.
  • Global Surge, Local Collapse: While countries like Brazil, Mexico, and India have privacy laws on paper, enforcement is weak, allowing both domestic and foreign vendors to deploy invasive technologies unchecked.
  • Gig Workers as Guinea Pigs: Gig economy workers in sectors like delivery and rideshare are the frontline subjects of AI surveillance, subjected to real-time tracking, biometric scans, and even models that predict union activity.
  • Surveillance Disguised as Care: AI surveillance is increasingly framed as a tool for safety, wellness, and productivity—masking coercive oversight in the language of health and efficiency.
  • Privacy Theater: Many vendors offer copy-paste privacy notices while quietly retaining worker data indefinitely. In countries like Mexico and Colombia, some companies even conduct home visits and collect data on workers' families.
  • Workers are Fighting Back: From sanitation workers in India to ride-hail drivers in Nigeria, workers are resisting algorithmic control—organizing protests, forming unions, and demanding AI transparency.
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Archive.

This kind of cross-platform tracking is unprecedented - and it’s especially surprising coming from two companies that serve billions of users worldwide

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cross-posted from: https://lemmy.zip/post/39876981

Giving people the power to build community and bring the world closer together so we can shoot them

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Tracking code that Meta and Russia-based Yandex embed into millions of websites is de-anonymizing visitors by abusing legitimate Internet protocols, causing Chrome and other browsers to surreptitiously send unique identifiers to native apps installed on a device, researchers have discovered. Google says it's investigating the abuse, which allows Meta and Yandex to convert ephemeral web identifiers into persistent mobile app user identities.

The covert tracking—implemented in the Meta Pixel and Yandex Metrica trackers—allows Meta and Yandex to bypass core security and privacy protections provided by both the Android operating system and browsers that run on it. Android sandboxing, for instance, isolates processes to prevent them from interacting with the OS and any other app installed on the device, cutting off access to sensitive data or privileged system resources. Defenses such as state partitioning and storage partitioning, which are built into all major browsers, store site cookies and other data associated with a website in containers that are unique to every top-level website domain to ensure they're off-limits for every other site.

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Hey devs, I recently wrapped the latest stable release of Tide42, a lightweight terminal-based IDE designed for speed, flexibility, and a clean coding experience — especially for those of us who live in the terminal.

Tide42 integrates tmux, nvim, and thoughtful Bash scripting into a seamless dev workflow with:

True 256-color support (color toggle with -c)

Elegant, fast session layout using tmux

Self-updating mechanism (--update) to pull the latest version from GitHub

Multi-distro install script for Debian, Arch, macOS (via apt, pacman, brew)

Respectful config handling – never overwrites your dotfiles

Simple interactive file launcher (tide42 )

Quiet mode for scripts (-q)

Try it out: GitHub: github.com/logicmagix/tide42 License: GPLv3 Clone, install, and run tide42 to get started.

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