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Head of the Signal app threatens to withdraw from Europe


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in reply to Treczoks

We wouldn't have a simple and secure way of communicating?

The apple/Facebook alternatives are not good at all.

in reply to Valmond

Simplex, xmpp, deltachat, briar, matrix, even session.

Anything is better than signal that relies on a centralised proprietary server and requires a phone number.

Questa voce è stata modificata (1 mese fa)
in reply to Seefra 1

Sure, but tell my family that...

Has any of those become like easy to install and use? To be fair I haven't checked in some time...

in reply to Valmond

With DeltaChat you don't even need an email address anymore, they provide it for you on the fly. They just ask your name if you (optionally) want to put it.

Can't be simpler than that tbh.

If you want a better looking ui, check ArcaneChat for Android. It's 100% compatible with DeltaChat protocol

in reply to Valmond

Simplex is really easy to install and use, unfortunately it's still kinda buggy, specially with public relays, I personally don't mind buggy, I'm willing to make sacrifices for the same of freedom and privacy.

I just keep a second chat app as a failback so I can send them a message saying "ur simplex broke again, pls restart"

Xmpp has been stable for decades, tho I guess otr/omemo is hard for family to install, also doesn't support e2ee calls (or rather, it does, but it's complicated). But I haven't used xmpp in a long time.

in reply to Seefra 1

I hate talkingpoints like that. Sure Signal can be critiqued, but it's still the best "mainstream" solution we have. And a lot of people would just stop using secure messanger when signal is gone. Including me because what is simplex or matrix worth for me, when no one I know cares to switch?
Questa voce è stata modificata (1 mese fa)
in reply to jonnylyy

My personal experience is that if I can convince someone to install signal I can also convince them to install simplex, the process is the same. If I can't then they aren't going to use anything but the popular spyware anyway.
in reply to Seefra 1

I will absolutely try that, but most of the people switched to signal or threema because they already heard about it and could just use it because they already used it for some other contacts (actually this was the most common. They already had an account and the app and just had to use it more) . But I don't think a lot of people would switch to a messanger they never heard about, just for me.
in reply to jonnylyy

Well, that is fair, also simplex has some serious bugs which I don't mind because I value freedom, security and privacy over reliability, but sometimes the app just stops receiving messages until restarted and I need to message them via other means telling them to restart the app.


in reply to silence7

Shame ... North Carolina was once called the "Rip Van Winkle" state because it was so far behind everyone else. And it woke up briefly and briefly gave us a great public university system as well as Red Hat Linux. Then around the turn of the century, every racist boomer with a small pension from Jersey and New York sold their assets and moved down and bought up all of the old farmland and turned it into cardboard McMansions everywhere and made it MAGA heaven. That combined with all of the Fort Liberty homesteaders who spread out from Fayettenam like a cancer with their perpetual war contracts completely changed the state overnight.

A few years ago we had the biggest solar lobby in the country ... the old families had turned the tobacco fields into solar farms and it was going well. But I guess even they have been crowded out of their own state. It's a violent place now where people can shoot up the power stations to protest books and go unpunished, and spec ops guys can shoot working immigrants 200 yards from their property in "self defense" and not even be arrested.

It's now just a stew of MAGA that keeps brewing to the point that the original flavor has been lost. It will only get saltier. The "University" system is now run by MAGAts. It takes generations to set up infrastructure like what was set up around the RTP area, and only a few years to undo it all.

Sorry North Carolina, I had to leave.

Questa voce è stata modificata (1 mese fa)



Zionist Zohran Mamdani condemns Hamas and calls October 7th a war crime


cross-posted from: lemmy.ml/post/37000436
in reply to Spectre

So…Forgot to mention Zohran Mamdani continues to accuse Israel of genocide…?
in reply to Spectre

People better get used to this - now that "lesser evilism" is as dead as a doornail the only way the libs will ever win an election again is by dangling faux-leftists like Mamdani in front of us.

in reply to RandAlThor

Apple CEO Tim Cook recently gave Trump a 24 carat gold bribe.

usatoday.com/story/news/politi…

in reply to NutWrench

That is just so sad that it's the way you have to do business. Constant praising and sucking up.


in reply to silence7

Betrayal after betrayal. This fucking asshole is worse the Trudeau ever was.



Have you considered emigrating from the US? If so, where to?


Either in regards to the current political situation, or for other reasons. What drew you to the idea of living in another country? Do you think whatever benefits it offers are really worth it, or is the grass just greener on the other side of the fence?
in reply to m_‮f

I’d leave in a heartbeat. I wanted to leave the US well before all this madness. I know Italian pretty well and a little Spanish, so I was considering moving to a country that speaks either. I don’t really have any professional qualifications though, so I kinda worry I’d just be a poor foreigner wherever I went.




Votação de vínculo entre motoristas e apps será em 30 dias, diz Fachin


cross-posted from: lemmy.eco.br/post/17061965



in reply to DarkBluemetal

With the Meta and Alphabet data centers going up near me, I'm starting to get concerned about this...
in reply to AreaKode

You should. There aren’t enough lifeboats for everyone and they don’t even view you as a passenger. More like cattle. So they aren’t saving one for you.
in reply to AreaKode

I would not fault you if you were to rig demolition charges in these data centers. Hypothetically.
in reply to AreaKode

would investing in solar help you keep the costs down? just wondering


Family says Atlanta journalist Mario Guevara will be deported tomorrow


Mario Guevara, the Atlanta-based Spanish-language journalist who was arrested while covering an anti-Trump protest, has been transported to a Louisiana immigration facility, from where his family said he will be...


EPA Moves to Prioritize Review of New Chemicals for Data Centers


The agency’s administrator, Lee Zeldin, says he wants to “get out of the way” and stop “gumming up the works” so that fast-track construction of the massive computing facilities will “make America the artificial intelligence capital of the world.”




Hundreds of societies have been in crises like ours. An expert explains how they got out. | An analysis of historical crises over the past 2,000 years offers lessons for avoiding the end times.


the principles behind a successful exit from crisis remain relevant. While the specific policies will differ across societies, the overarching goal remains the same: to rebalance the distribution of wealth and power in a way that promotes long-term stability, not short-term elite enrichment.


The Price of Unpredictability


How Trump’s Foreign Policy Is Ruining American Credibility


Keren Yarhi-Milo
October 2, 2025

For decades, U.S. foreign policy has depended on credibility: the belief that Washington would honor its commitments and that its past behavior signaled its future conduct. The United States, for instance, was able to develop a large network of allies because its partners trusted that, if attacked, Washington would defend them. It could strike free-trade deals with countries around the world and negotiate peace agreements because, generally speaking, it was seen as an honest broker. That is not to say the United States has never surprised, or that it never reneged on a promise. But for most of its modern history, it has been a trustworthy actor.

But unlike any U.S. president before him, Donald Trump has abandoned all efforts to make Washington reliable or consistent. His predecessors had also, at times, made decisions that undermined American credibility. But Trump’s lack of consistency is of an entirely different magnitude—and appears to be part of a deliberate strategy. He proposes deals before backing down. He promises to end wars before expanding them. He berates U.S. allies and embraces adversaries. With Trump, the only pattern is the lack of one.



caffettistica truffa delle macchine universitarie (la macchinetta del caffè rotta mi ha rovinato la giornata)


Oggi, la giornata pareva aver incalzato un piede giusto (si può dire? boh!) — o, quantomeno, non marcio — sembrava che per una buona volta io potessi non soffrire — almeno, tolto il fattore meteo, che dalla sera alla sera stessa (letteralmente!) si è riconfigurato coi pinguini, e se adesso sono a casa senza un […]

octospacc.altervista.org/2025/…



in reply to corbin

Excel is such an incredible piece of shit. There's many reasons to hate it for me, but what i hate the most is not being able to do relationships in any meaningful way. So often i need to have one to many relationships and this garbage makes it impossible. Data consistency? Nope. Opening a csv? Fuck you! Why the fuck are there online tools that are better at this shit? You had 40 years ffs. No amount of AI is going to fix this turd. God I hate Excel.
in reply to robador51

There's a ton of reasons to hate Excel, I'm sure, but I don't think lack of support for relational data is a reasonable one. There's tools for that job, but Excel isn't trying to be one of them.
in reply to zalgotext

Just because it doesn't offer features a database has doesn't mean people aren't trying to use it as one

I support your argument, but unfortunately there are some real monstrosities out there that have carried small businesses since decades

in reply to Laser

Yeah, not denying that people use Excel to do all kinds of crazy shit. People using the tool wrong isn't the tool's fault though, right?
in reply to zalgotext

Wrong! If I am using a hammer to deliver babies I expect hammer manufacturers to put a rubber coating on the claw so it doesn't scratch the baby as I pry it out.
in reply to zalgotext

I get that. But it's a case that's just so incredibly common. Tagging/categorization. We end up with multiple columns like 'cat 1', 'cat 2', etc. Or doing pivot tables. I guess to me there's pretty much always something that can do the job better, but the reality is that in the corporate setting I operate in everybody uses Excel.
in reply to robador51

You are trying to use Excel like a database and that’s not its job. Use Access for that, if you must stick within the Office ecosystem
in reply to 4am

If I'm the only one doing it then I'd prefer to stick with sqlite. But the reality is that everyone I work with does these kinds of things in excel, and it's a shitshow. Yes, u could say 'don't blame the tool', but it's ms shoving it down our throats and they could've done much better with the time they had.
in reply to robador51

With power query, Excel can perform more database-like functions, I use it all the time! It comes with it's own quirks however
in reply to corbin

Some computer scientists really went "we made a computer that is programmed in a different way and is sometimes correct" and these idiot corpos went "wow put it in everything"




Ex-CDC director talks about why she was fired




Lemmy doesn't federate across either NOSTR bridge


Lemmy doesn't federate across either NOSTR bridge #fediverse #lemmy #mbin #nostr #meta

As you may know NOSTR (Notes and Other STuff via Relays) is another protocol for the fediverse like ActivityPub. In order to allow AP folks to communicate with NOSTR folks there are [at least] two "bridges" (mostr.pub & momostr.pink) created to allow certain level of server, client interaction between the two.

For some reason no lemmy communities nor users are ever found by either. It works just fine for mbin magazines and users. Do any of you have an idea why?



Stanford Study: ‘AI’ Generated ‘Workslop’ Actually Making Productivity Worse


Automation undeniably has some useful applications. But the folks hyping modern “AI” have not only dramatically overstated its capabilities, many of them generally view these tools as a way to lazily cut corners or undermine labor. There’s also a weird innovation cult that has arisen around managers and LLM use, resulting in the mandatory use of tools that may not be helping anybody — just because.

The result is often a hot mess, as we’ve seen in journalism. The AI hype simply doesn’t match the reality, and a lot of the underlying financial numbers being tossed around aren’t based in reality; something that’s very likely going to result in a massive bubble deflation as the reality and the hype cycles collide (Gartner calls this the “trough of disillusionment,” and expects it to arrive next year).

One recent study out of MIT Media Lab found that 95% of organizations see no measurable return on their investment in AI (yet). One of many reasons for this, as noted in a different recent Stanford survey (hat tip: 404 Media), is because the mass influx of AI “workslop” requires colleagues to spend additional time trying to decipher genuine meaning and intent buried in a sharp spike in lazy, automated garbage.

The survey defines workslop as “AI generated work content that masquerades as good work, but lacks the substance to meaningfully advance a given task.” Somewhat reflective of America’s obsession with artifice. And it found that as use of ChatGPT and other tools have risen in the workplace, it’s created a lot of garbage that requires time to decipher:

“When coworkers receive workslop, they are often required to take on the burden of decoding the content, inferring missed or false context. A cascade of effortful and complex decision-making processes may follow, including rework and uncomfortable exchanges with colleagues.”


Confusing or inaccurate emails that require time to decipher. Lazy or incorrect research that requires endless additional meetings to correct. Writing full of errors that requires supervisors to edit or correct themselves:

“A director in retail said: “I had to waste more time following up on the information and checking it with my own research. I then had to waste even more time setting up meetings with other supervisors to address the issue. Then I continued to waste my own time having to redo the work myself.”


In this way, a technology deemed a massive time saver winds up creating all manner of additional downstream productivity costs. This is made worse by the fact that a lot of these technologies are being rushed into mass adoption in business and academia before they’re fully cooked. And by the fact the real-world capabilities of the products are being wildly overstated by both companies and a lazy media.

This isn’t inherently the fault of the AI, it’s the fault of the reckless, greedy, and often incompetent people high in the extraction class dictating the technology’s implementation. And the people so desperate to be innovation-smacked, they’re simply not thinking things through. “AI” will get better; though any claim of HAL-9000 type sentience will remain mythology for the foreseeable future.

Obviously measuring the impact of this workplace workslop is an imprecise science, but the researchers at the Stanford Social Media Lab try:

“Each incidence of workslop carries real costs for companies. Employees reported spending an average of one hour and 56 minutes dealing with each instance of workslop. Based on participants’ estimates of time spent, as well as on their self-reported salary, we find that these workslop incidents carry an invisible tax of $186 per month. For an organization of 10,000 workers, given the estimated prevalence of workslop (41%), this yields over $9 million per year in lost productivity.”


The workplace isn’t the only place the rushed application of a broadly misrepresented and painfully under-cooked technology is making unproductive waves. When media outlets rushed to adopt AI for journalism and headlines (like at CNET), they, too, found that the human editorial costs to correct and fix all the problems, plagiarism, false claims, and errors really didn’t make the value equation worth their time. Apple found that LLMs couldn’t even do basic headlines with any accuracy.

Elsewhere in media you have folks building giant (badly) automated aggregation and bullshit machines, devoid of any ethical guardrails, in a bid to hoover up ad engagement. That’s not only repurposing the work of real journalists, it’s redirecting an already dwindling pool of ad revenue away from their work. And it’s undermining any sort of ethical quest for real, informed consensus in the authoritarian age.

This is all before you even get to the environmental and energy costs of AI slop.

Some of this are the ordinary growing pains of new technology. But a ton of it is the direct result of poor management, bad institutional leadership, irresponsible tech journalism, and intentional product misrepresentation. And next year is going to likely be a major reckoning and inflection point as markets (and people in the real world) finally begin to separate fact from fiction.


AI ‘Workslop’ Is Killing Productivity and Making Workers Miserable


A joint study by Stanford University researchers and a workplace performance consulting firm published in the Harvard Business Review details the plight of workers who have to fix their colleagues’ AI-generated “workslop,” which they describe as work content that “masquerades as good work, but lacks the substance to meaningfully advance a given task.” The research, based on a survey of 1,150 workers, is the latest analysis to suggest that the injection of AI tools into the workplace has not resulted in some magic productivity boom and instead has just increased the amount of time that workers say they spend fixing low-quality AI-generated “work.”

The Harvard Business Review study came out the day after a Financial Times analysis of hundreds of earnings reports and shareholder meeting transcripts filed by S&P 500 companies that found huge firms are having trouble articulating the specific benefits of widespread AI adoption but have had no trouble explaining the risks and downsides the technology has posed to their businesses: “The biggest US-listed companies keep talking about artificial intelligence. But other than the ‘fear of missing out,’ few appear to be able to describe how the technology is changing their businesses for the better,” the Financial Times found. “Most of the anticipated benefits, such as increased productivity, were vaguely stated and harder to categorize than the risks.”

Other recent surveys and studies also paint a grim picture of AI in the workplace. The main story seems to be that there is widespread adoption of AI, but that it’s not proving to be that useful, has not resulted in widespread productivity gains, and often ends up creating messes that human beings have to clean up. Human workers see their colleagues who use AI as less competent, according to another study published in Harvard Business Review last month. A July MIT report found that “Despite $30–40 billion in enterprise investment into GenAI, this report uncovers a surprising result in that 95% of organizations are getting zero return … Despite high-profile investment, industry-level transformation remains limited.” A June Gallup poll found that AI use among workers doubled over the last two years, and that 40 percent of those polled have used AI at work in some capacity. But the poll found that “many employees are using AI at work without guardrails or guidance,” and that “The benefits of using AI in the workplace are not always obvious. According to employees, the most common AI adoption challenge is ‘unclear use case or value proposition.’”

These studies, anecdotes we have heard from workers, and the rise of industries like “vibe coding cleanup specialists” all suggest that workers are using AI, but that they may not be leading to actual productivity gains for companies. The Harvard Business Review study proposes a possible reason for this phenomenon: Workslop.

The authors of that study, who come from Stanford University and the workplace productivity consulting firm BetterUp, suggest that a growing number of workers are using AI tools to make presentations, reports, write emails, and do other work tasks that they then file to their colleagues or bosses; this work often appears useful but is not: “Workslop uniquely uses machines to offload cognitive work to another human being. When coworkers receive workslop, they are often required to take on the burden of decoding the content, inferring missed or false context. A cascade of effortful and complex decision-making processes may follow, including rework and uncomfortable exchanges with colleagues,” they write.

The researchers say that surveyed workers told them that they are now spending their time trying to figure out if any specific piece of work was created using AI tools, to identify possible hallucinations in the work, and then to manage the employee who turned in workslop. Surveyed workers reported spending time actually fixing the work, but the researchers found that “the most alarming cost may have been interpersonal.”

“Low effort, unhelpful AI generated work is having a significant impact on collaboration at work,” they wrote. “Approximately half of the people we surveyed viewed colleagues who sent workslop as less creative, capable, and reliable than they did before receiving the output. Forty-two percent saw them as less trustworthy, and 37% saw that colleague as less intelligent.”

No single study on AI in the workplace is going to be definitive, but evidence is mounting that AI is affecting people’s work in the same way it’s affecting everything else: It is making it easier to output low-quality slop that other people then have to wade through. Meanwhile, Microsoft researchers who spoke to nurses, financial advisers, and teachers who use AI found that the technology makes people “atrophied and unprepared” cognitively.

Each study I referenced above has several anecdotes about individual workers who have found specific uses of AI that improve their own productivity and several companies have found uses of AI that have helped automate specific tasks, but most of the studies find that the industry- and economy-wide productivity gains that have been promised by AI companies are not happening. The MIT report calls this the “GenAI Divide,” where many companies are pushing expensive AI tools on their workers (and even more workers are using AI without explicit permission), but that few are seeing any actual return from it.




Help a Family Trapped in Northern Gaza – Your Support Can Save Our Lives


We are a family still trapped under ongoing bombardment in Northern Gaza.
We desperately need your help to evacuate to the south. Transportation costs have soared to over $2,000 — an amount we simply cannot afford.

Please, we are pleading for your support. Any contribution could help save our lives.
You are our lifeline. Please don’t leave us alone in this moment of despair
gofund.me/00439328

Technology reshared this.



Help a Family Trapped in Northern Gaza – Your Support Can Save Our Lives


We are a family still trapped under ongoing bombardment in Northern Gaza.
We desperately need your help to evacuate to the south. Transportation costs have soared to over $2,000 — an amount we simply cannot afford.

Please, we are pleading for your support. Any contribution could help save our lives.
You are our lifeline. Please don’t leave us alone in this moment of despair
gofund.me/00439328



Perplexity’s Comet browser is now available to everyone for free


Shockingly, Perplexity says ‘the internet is better on Comet.’
Questa voce è stata modificata (1 mese fa)




How Much Energy Does It Take to Power Billions of AI Queries?


All generative AI queries could hit 329 billion per day by 2030. See the big picture on AI's energy use, and how it's reshaping our world.

Technology reshared this.

in reply to kibiz0r

Sooner.

None of these AI applications are making money and unlike earlier IT companies (Amazon, Google search, social media site, etc ), the marginal cost of each additional user isn't near zero.

They are having to invest hundreds of billions to cope with demand for applications which lose money on each use.

It's a $50 billion dollar industry priced as a trillion dollar industry.

in reply to bobalot

I'm with you. I think the markets are going to be demanding results very soon now. When they do...Nvidia, Meta, Google, X, Microsoft stock prices are all going to go into free-fall.
in reply to bobalot

And there‘s still no compelling use-case for the average consumer. Coders and scientists? Can be. But most people don‘t really have a use for it in most situations, even in business contexts. It‘s mostly a solution in search of a problem, and even then it‘s so unreliable that even things trying to sell you it as a solution have to add the disclaimer that you shouldn‘t use it for anything that‘s remotely important.

So even if the costs were markedly less than they are, there‘s still no real path to profitability because there‘s no real call for it.

The only use I‘ve found as a consumer is using something like Perplexity as a search engine. And that‘s not a testament to how good Perplexity is, but instead a testament to how bad other search engines have become. Perplexity just avoids things like SEO and is mostly quite good at finding sources which aren‘t themselves AI-generated.

And…I really see a near future in which AI-SEO becomes a thing and Perplexity et. al. become just as useless as google.

in reply to SaraTonin

Next to no news on it being stem research, all the hype we are hearing is from csuites and CEO.
in reply to flango

And the training beforehand, distributed over models lifetime users?





Steam Hardware & Software Survey (Linux, September 2025)


All fields expanded, very long screenshot: imgur.com/a/steam-hardware-sof…

Note, the source will change every month. That's why I made a screenshot, so the discussion in this thread makes sense in the future. Source: store.steampowered.com/hwsurve…

Linux Mint 22.2 64 bit got +3.34% from previously 0%, while Linux Mint 22.1 64 bit lost -2.71%. So the rest of the 0.65% are either new users or upgraders from even older Linux Mint versions. Whatever the reason is, these two entries should have been a single one as Linux Mint 22 with 8.84%.

Also what is the category "Other"? It's almost 20% big, so this is not something to wave over. Bazzite got a good start, hopefully it will grow further. I'm surprised that CachyOS is this popular, much more than Ubuntu and Bazzite.


OC text by @thingsiplay@beehaw.org