Mastodon: @misk@pol.social

Arthritis, cannabis, communis.

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Cake day: Sep 02, 2023

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If you make money on YouTube you can afford iPhone Pro probably. You probably already have one for shooting quality video because what else is there at this budget?


Going by number of features isn’t really a way to tell what’s premium. For me the bar is set really low which is not having ads, which most budget Android phones fail at.


They’ve just done this to create artificial value for the “Pro” models.

Correct. They found out professionals have money to afford premium hardware and software so you can charge them that. Perfectly reasonable way to make money, little competition in that space as opposed to general purpose budget stuff.


I rarely take 128GB worth of photos at once so background iCloud sync is fast enough so that when I take a photo on my phone it’s visible on my Mac a minute or so after that.


I’m sure we’ll find much evidence for hobbyists on Lemmy having different use cases from the general public but Apple wasn’t ever interested in supporting that niche at budget prices because there’s little money to be made there.

Regular person doesn’t need much offline storage because they download apps from the App Store, listen to music from a streaming service and sync photos to iCloud or Google Photos. Those people probably shouldn’t store their data offline either way because they won’t back it up properly. It’s another case of Apple treating general public like incompetent grannies but they’re kind of right about that.


They let iCloud do the thing. Their computers don’t have that much storage.


People discuss this as if they connected their phones to their computers more than once in the past 5 years.


The biggest lesson from The Big Short movie is that you can be right at predicting a bubble for years but politicians and financieers can stall until they exit the market and everyone else has to deal with the aftermath.


Russian cable attacks ‘threaten to cut off world’s internet’
Archive: https://archive.is/2025.04.11-030631/https://www.telegraph.co.uk/business/2025/04/10/nato-warned-over-internet-blackouts-in-wake-of-subsea-cable/ > Military chiefs at Nato have been warned of global internet blackouts following a string of suspected [Russian attacks on subsea cables](https://archive.is/o/6zHvY/https://www.telegraph.co.uk/business/2024/11/30/undersea-cables-leave-britain-exposed-russia-china/). > Telecoms companies including Vodafone, O2 owner Telefonica and Orange have written to UK, EU and Nato officials warning that a rise in sabotage incidents was [putting critical services at risk](https://archive.is/o/6zHvY/https://www.telegraph.co.uk/news/2025/01/16/undersea-submarine-cable-cut-grey-war-dark-fleet/). > In an open letter, they wrote: “The repercussions of damage to subsea cables extend far beyond Europe, potentially affecting global internet and power infrastructure, international communications, financial transactions and critical services worldwide.” > It comes after a spike in incidents relating to fibre optic cables on seabeds that carry huge volumes of data, voice and internet traffic between countries.
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Why the climate promises of AI sound a lot like carbon offsets
> (…) There’s something familiar about [the suggestion](https://ia.samaltman.com/) that it’s okay to build data centers that run on fossil fuels today because AI tools will help the world drive down emissions eventually. It recalls the purported promise of carbon credits: that it’s fine for a company to carry on polluting at its headquarters or plants, so long as it’s also funding, say, the planting of trees that will suck up a commensurate level of carbon dioxide. > Unfortunately, we’ve seen again and again that such programs often overstate [any climate benefits](https://www.technologyreview.com/2021/04/29/1017811/california-climate-policy-carbon-credits-cause-co2-pollution/), doing little to alter the balance of what’s going into or coming out of the atmosphere.   > But in the case of what we might call “AI offsets,” the potential to overstate the gains may be greater, because the promised benefits wouldn’t meaningfully accrue for years or decades. Plus, there’s no market or regulatory mechanism to hold the industry accountable if it ends up building huge data centers that drive up emissions but never delivers on these climate claims.  > The IEA report [outlines](https://www.iea.org/reports/energy-and-ai/ai-and-climate-change#abstract) instances where industries are already using AI in ways that could help drive down emissions, including detecting methane leaks in oil and gas infrastructure, making power plants and manufacturing facilities more efficient, and reducing energy consumption in buildings.
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Bubble Trouble - An AI bubble threatens Silicon Valley, and all of us.
> The week of Donald Trump’s inauguration, Sam Altman, the CEO of OpenAI, stood tall next to the president as he made a [dramatic announcement](https://www.cnn.com/2025/01/21/tech/openai-oracle-softbank-trump-ai-investment/index.html): the launch of Project Stargate, a $500 billion supercluster in the rolling plains of Texas that would run OpenAI’s massive artificial-intelligence models. Befitting its name, Stargate would dwarf most megaprojects in human history. Even the $100 billion that Altman promised would be deployed “immediately” would be much more expensive than the Manhattan Project ($30 billion in current dollars) and the COVID vaccine’s Operation Warp Speed ($18 billion), rivaling the multiyear construction of the Interstate Highway System ($114 billion). OpenAI would have all the computing infrastructure it needed to complete its ultimate goal of building humanity’s last invention: artificial general intelligence (AGI). > But the reaction to Stargate was muted as Silicon Valley had turned its attention west. A new generative AI model called DeepSeek R1, released by the Chinese hedge fund High-Flyer, sent a threatening tremor through the balance sheets and investment portfolios of the tech industry. DeepSeek’s latest version, allegedly trained for just $6 million (though [this has been contested](https://www.techspot.com/news/106612-deepseek-ai-costs-far-exceed-55-million-claim.html)), [matched](https://arxiv.org/pdf/2501.12948) the performance of OpenAI’s flagship reasoning model o1 [at 95 percent lower cost](https://venturebeat.com/ai/open-source-deepseek-r1-uses-pure-reinforcement-learning-to-match-openai-o1-at-95-less-cost/). R1 even learned o1 reasoning techniques, OpenAI’s much-hyped “secret sauce” to allow it to maintain a wide technical lead over other models. Best of all, R1 is open-source down to the model weights, so anyone can download and modify the details of the model themselves for free. > It’s an existential threat to OpenAI’s business model, which depends on using its technical lead to sell the most expensive subscriptions in the industry. It also threatens to pop a speculative bubble around generative AI inflated by the Silicon Valley hype machine, with hundreds of billions at stake. > Venture capital (VC) funds, drunk on a decade of “growth at all costs,” have poured [about $200 billion into generative AI](https://www.cbinsights.com/research/report/ai-trends-q2-2024/). Making matters worse, the stock market’s bull run is deeply dependent on the growth of the Big Tech companies fueling the AI bubble. In 2023, [71 percent of the total gains](https://finance.yahoo.com/news/one-chart-shows-how-the-magnificent-7-have-dominated-the-stock-market-in-2023-203250125.html)in the S\&P 500 were attributable to the “Magnificent Seven”—Apple, Nvidia, Tesla, Alphabet, Meta, Amazon, and Microsoft—all of which are among the biggest spenders on AI. Just four—Microsoft, Alphabet, Amazon, and Meta—[combined](https://www.ft.com/content/634b7ec5-10c3-44d3-ae49-2a5b9ad566fa) for $246 billion of capital expenditure in 2024 to support the AI build-out. Goldman Sachs [expects](https://www.goldmansachs.com/images/migrated/insights/pages/gs-research/gen-ai--too-much-spend%2C-too-little-benefit-/TOM_AI%202.0_ForRedaction.pdf) Big Tech to spend over $1 trillion on chips and data centers to power AI over the next five years. Yet OpenAI, the current market leader, [expects](https://www.theinformation.com/briefings/openai-reportedly-in-talks-to-raise-6-5-billion-at-150-billion-valuation) to lose $5 billion this year, and its annual losses to swell to $11 billion by 2026. If the AI bubble bursts, it not only threatens to wipe out VC firms in the Valley but also blow a gaping hole in the public markets and cause an economy-wide meltdown. via https://dair-community.social/@timnitGebru/114316268181815093
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Intel CEO invested in hundreds of Chinese companies, some with military ties
Archive: https://archive.is/2025.04.10-103512/https://www.reuters.com/technology/intel-ceo-invested-hundreds-chinese-companies-some-with-military-ties-2025-04-10/ > (…) Reuters' review found that Tan controls more than 40 Chinese companies and funds as well as minority stakes in over 600 via investment firms he manages or owns. In many instances, he shares minority stake ownership with Chinese government entities. > Several investors interviewed by Reuters expressed concern that the scope of Tan’s investments could complicate the task of reviving Intel. Along with Taiwan Semiconductor Manufacturing Co and Samsung Electronics Co, Intel is one of three companies in the world making the most advanced computer chips, and the only one based in the U.S. > "The simple fact is that Mr. Tan is unqualified to serve as the head of any company competing against China, let alone one with actual intelligence and national security ramifications like Intel and its tremendous legacy connections to all areas of America’s intelligence and the defense ecosystem," said Andrew King, a partner at venture capital firm Bastille Ventures. King said neither he or his fund have investments in Intel. > But some see Tan's years of experience investing in startups in China as key competencies to revive the flagging American icon. > "He was at the top of my list and most investor's lists of who they wanted," Bernstein analyst Stacey Rasgon said. "He's a legend and he's been around forever."
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AI surge to double data centre electricity demand by 2030: IEA
> At the current rate, data centres will consume about three percent of global energy by 2030, the report said.  > According to the IEA, data centre electricity consumption will reach about 945 terawatt hours (TWH) by 2030. > "This is slightly more than Japan’s total electricity consumption today. AI is the most important driver of this growth, alongside growing demand for other digital services," said the report. > One 100 megawatt data centre can use as much power as 100,000 households, the report said. But it highlighted that new data centres, already under construction, could use as much as two million households.
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Hacking GoPros to help save the Atlantic’s rarest bird
Archive: https://archive.is/2025.04.09-155340/https://www.theverge.com/tech/642950/gopro-hack-bird-conservation-bermuda-cahow > The image streams over YouTube in crisp grayscale: a young cahow — known outside Bermuda as the Bermuda petrel — scrambles through a sandy tunnel and pokes its tiny head above the ground for the first time. It’s a few months old, but it has never seen daylight. Gray fluffball hatchlings spend their whole lives up to this moment in a pitch-dark burrow as far as 15 feet underground. Now, in the middle of the night, this little bird flaps and flexes its wings, perches at the edge of a cliff, and [launches](https://archive.is/o/1rw6Q/https://www.youtube.com/watch?v=QPq3x64zV08) itself into the wind. It won’t touch down on land again anytime soon: a cahow’s first flight can last three to five years. While it may rest on the water for a few minutes here and there, it’s almost entirely airborne, zigzagging for hundreds of thousands of miles across the Atlantic high seas, [even sleeping while in flight](https://archive.is/o/1rw6Q/https://pmc.ncbi.nlm.nih.gov/articles/PMC5206601/). If it survives this odyssey, it will come right back here — to this little speck of an outer island — landing as little as a yard away from the nest where it was born.
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Apple supplier Luxshare weighs manufacturing in U.S. to tackle tariffs
Archive: https://archive.is/2025.04.09-093742/https://www.reuters.com/technology/apple-supplier-luxshare-weighs-manufacturing-us-tackle-tariffs-2025-04-09/ > TAIPEI/BEIJING, April 9 (Reuters) - Apple [(AAPL.O), opens new tab](https://archive.is/o/gGCKB/https://www.reuters.com/markets/companies/AAPL.O)supplier Luxshare [(002475.SZ), opens new tab](https://archive.is/o/gGCKB/https://www.reuters.com/markets/companies/002475.SZ) is in talks with customers on ways to respond to U.S. tariffs by shifting more production outside China, including the United States, its chairwoman told analysts in a telephone call on Wednesday. > The remarks by the Chinese company, which assembles iPhones and makes AirPods, provide a glimpse into deliberations by companies around the world scrambling to tackle President Donald Trump's [tariffs](https://archive.is/o/gGCKB/https://www.reuters.com/world/trumps-latest-tariffs-loom-set-deepen-global-trade-war-2025-04-09/) that took effect on Wednesday. > In a transcript of the call seen by Reuters, Wang Laichun said the tariffs would have little impact on profits and revenue, as Luxshare exported only a small amount of finished products to the United States.
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Google Maps is launching tools to help cities analyze infrastructure and traffic
Archive: https://archive.is/2025.04.09-150657/https://www.theverge.com/news/645314/google-maps-platform-tools > Google is opening up its Google Maps Platform data so that cities, developers, and other business decision makers can more easily access information about things like infrastructure and traffic, the [company announced on Wednesday](https://archive.is/o/qW4Oh/https://mapsplatform.google.com/resources/blog/whats-new-with-google-maps-platform-geospatial-analytics-generative-ai-and-weather/). > Google is integrating new datasets for Google Maps Platform directly into BigQuery, the tech giant’s fully managed data analytics service, for the first time. This should make it easier for people to access data from Google Maps platform products, including Imagery Insights, Roads Management Insights, and Places Insights.
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Fake job seekers are flooding U.S. companies that are hiring for remote positions, tech CEOs say
Archive: https://archive.is/2025.04.08-202829/https://www.cnbc.com/2025/04/08/fake-job-seekers-use-ai-to-interview-for-remote-jobs-tech-ceos-say.html > (…) Companies have long fought off attacks from hackers hoping to exploit vulnerabilities in their software, employees or vendors. Now, another threat has emerged: Job candidates who aren’t who they say they are, wielding AI tools to fabricate photo IDs, generate employment histories and provide answers during interviews. > The rise of AI-generated profiles means that by 2028 globally 1 in 4 job candidates will be fake, according to research and advisory firm Gartner. > The risk to a company from bringing on a fake job seeker can vary, depending on the person’s intentions. Once hired, the impostor can install malware to demand ransom from a company, or steal its customer data, trade secrets or funds, according to Balasubramaniyan. In many cases, the deceitful employees are simply collecting a salary that they wouldn’t otherwise be able to, he said.
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“The girl should be calling men.” Leak exposes Black Basta’s influence tactics.
Archive: https://archive.is/2025.04.08-222411/https://arstechnica.com/security/2025/04/leaked-messages-expose-trade-secrets-of-prolific-black-basta-ransomware-group/ > A leak of 190,000 chat messages traded among members of the Black Basta ransomware group shows that it’s a highly structured and mostly efficient organization staffed by personnel with expertise in various specialities, including exploit development, infrastructure optimization, social engineering, and more. > The trove of records was first posted to file-sharing site MEGA. The messages, which were sent from September 2023 to September 2024, were later posted to Telegram in [February 2025](https://arstechnica.com/security/2025/02/leaked-chat-logs-expose-inner-workings-of-secretive-ransomware-group/). ExploitWhispers, the online persona who took credit for the leak, also provided commentary and context for understanding the communications. The identity of the person or persons behind ExploitWhispers remains unknown. Last month’s leak coincided with the unexplained outage of the Black Basta site on the dark web, which has remained down ever since
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Hackintoshes will be over soon unfortunately. A pity since that’s how I originally entered Apple ecosystem. ThinkPads with MacOS are bees knees.


Meta got caught gaming AI benchmarks
Archive: https://archive.is/2025.04.08-111143/https://www.theverge.com/meta/645012/meta-llama-4-maverick-benchmarks-gaming > Over the weekend, Meta dropped two new [Llama 4 models](https://ai.meta.com/blog/llama-4-multimodal-intelligence/): a smaller model named Scout, and Maverick, a mid-size model that the company claims can beat GPT-4o and Gemini 2.0 Flash “across a broad range of widely reported benchmarks.” > Maverick quickly secured the number-two spot on LMArena, the AI benchmark site where humans compare outputs from different systems and vote on the best one. In Meta’s [press release](https://ai.meta.com/blog/llama-4-multimodal-intelligence/), the company highlighted Maverick’s ELO score of 1417, which placed it above OpenAI’s 4o and just under Gemini 2.5 Pro. (A higher ELO score means the model wins more often in the arena when going head-to-head with competitors.) > The achievement seemed to position Meta’s open-weight Llama 4 as a serious challenger to the state-of-the-art, closed models from OpenAI, Anthropic, and Google. Then, AI researchers digging through Meta’s documentation discovered something unusual. > In fine print, Meta acknowledges that the version of Maverick tested on LMArena isn’t the same as what’s available to the public. According to Meta’s own materials, it deployed an [“experimental chat version”](https://x.com/natolambert/status/1908913635373842655) of Maverick to LMArena that was specifically “optimized for conversationality,” *TechCrunch* first [reported](https://techcrunch.com/2025/04/06/metas-benchmarks-for-its-new-ai-models-are-a-bit-misleading/).
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The rise of ‘Frankenstein’ laptops in New Delhi’s repair markets
Archive: https://archive.is/2025.04.07-144241/https://www.theverge.com/tech/639126/india-frankenstein-laptops > In a dimly lit, cluttered workshop in Delhi’s Nehru Place, the air hums with the sound of whirring drills and the crackle of soldering irons. Sushil Prasad, a 35-year-old technician, wipes the sweat off his brow as he carefully pieces together the guts of an old laptop. It is a daily ritual — resurrecting machines by stitching together motherboards, screens, and batteries scavenged from other trashed older laptops and e-waste — to create functional, low-cost devices. > “India has always had a repair culture … but companies are pushing planned obsolescence” > “Right now, there is a huge demand for such ‘hybrid’ laptops,” Prasad says, his hands swapping out a damaged motherboard. “Most people don’t care about having the latest model; they just want something that works and won’t break the bank.”
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Game of clones: Colossal’s new wolves are cute, but are they dire?
Archive: https://archive.is/T2OfG > Somewhere in the northern US, drones fly over a 2,000-acre preserve, protected by a nine-foot fence built to zoo standards. It is off-limits to curious visitors, especially those with a passion for epic fantasies or mythical creatures. > The reason for such tight security? Inside the preserve roam three striking snow-white wolves—which a startup called Colossal Biosciences says are members of a species that went extinct 13,000 years ago, now reborn via biotechnology. > For several years now, the Texas-based company has been in the news for its plans to re-create woolly mammoths someday. But now it’s making a bold new claim—that it has actually “de-extincted” an animal called the dire wolf. > And that could be another reason for the high fences and secret location—to fend off scientific critics, some of whom have already been howling that the company is a “[scam](https://bsky.app/profile/matthewcobb.bsky.social/post/3lhwc7ysmxk2f)” perpetrating “[elephantine fantasies](https://amp.theguardian.com/commentisfree/2025/mar/06/woolly-mammoth-us-scientists-unethical-government)” on the public and engaging in “pure hype.”
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This and clickbait. Both were a race to the bottom for information and debate quality motivated solely by greed.


Gen Z's safe space - Sick of Musk and Zuckerberg, Gen Zers are flocking to Tumblr
Archive: https://archive.is/2025.04.03-151402/https://www.businessinsider.com/gen-z-flocking-tumblr-millennials-musk-zuckerberg-safe-space-2025-4 > Occupy Wall Street, Notorious RBG, cottagecore. These and several other lasting internet trends and IRL movements of the 2010s were born not on Twitter, on Facebook, or in the mainstream media but on [*Tumblr*](https://archive.is/o/bVLXH/https://www.businessinsider.com/what-happened-to-tumblr-history-2014-girl-gen-z-millennials-2022-8). You might remember it as the blogging platform that became one of the most hyped startups in the world before fading into obsolescence — bought by Yahoo for $1.1 billion in 2013 (back when a billion still felt like a billion), then acquired by Verizon, and later offloaded for fractions of pennies on the dollar in a distressed sale. That same Tumblr, a relic of many millennials' formative years, has been having a moment among Gen Z. > Zoomers have gravitated toward the pseudonymous platform, viewing it as a safe space as the rest of the social internet has become increasingly commodified, polarized, and dominated by [*lifestyle influencers*](https://archive.is/o/bVLXH/https://www.businessinsider.com/how-do-instagram-influencers-make-money). As in its heyday, Tumblr is still more about sharing art, culture, and fandom than individual status. More posts about anime and punk rock than bridal trends and politics. In 2025, 50% of Tumblr's active monthly users are Gen Zers, as are 60% of new users signing up, according to data Tumblr shared with Business Insider. And several of Zoomers' icons, from the "Fault in Our Stars" author John Green to the pop superstar Halsey, have come back to the platform. > "Gen Z has this romanticism of the early-2000s internet," says Amanda Brennan, an internet librarian who worked at Tumblr for seven years, leaving her role as head of content in 2021. She still uses her own Tumblr regularly as the internet's resident [*meme librarian*](https://archive.is/o/bVLXH/https://memelibrarian.com/). "It allows for experimentation that's not tied to your face."
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It could mean that effectively caricature artists become one of the first professions protected by law from AI slop, kind of accidentally, and I don’t have that much problem with that.


NJ teen wins fight to put nudify app users in prison, impose fines up to $30K
> When Francesca Mani was 14 years old, boys at her New Jersey high school [used nudify apps to target her ](https://arstechnica.com/tech-policy/2024/01/sharing-deepfake-could-lead-to-lengthy-prison-time-under-proposed-law/)and other girls. At the time, adults did not seem to take the harassment seriously, telling her to move on after she demanded more severe consequences than just a single boy's one or two-day suspension. > Mani refused to take adults' advice, going over their heads to lawmakers who were more sensitive to her demands. And now, she's won her fight to criminalize deepfakes. On Wednesday, New Jersey Governor Phil Murphy signed a law that he [said](https://www.nj.gov/governor/news/news/562025/approved/20250402a.shtml) would help victims "take a stand against deceptive and dangerous deepfakes" by making it a crime to create or share fake AI nudes of minors or non-consenting adults—as well as deepfakes seeking to meddle with elections or damage any individuals' or corporations' reputations.
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Trump extends deadline for TikTok deal
Archive: https://archive.is/2025.04.04-180436/https://www.ft.com/content/7f5d15eb-39f8-4ded-8f5c-46ef8ab4d19d President Donald Trump has signed an executive order that extends the deadline for ByteDance, the Chinese owner of TikTok, to divest the hugely popular video-sharing app and avoid a nationwide ban in the US. Trump said on his [Truth Social platform](https://archive.is/o/RJxSz/https://truthsocial.com/@realDonaldTrump) that he was extending the deadline, which had been Saturday, by 75 days. He said the extension was designed to allow US companies trying to acquire TikTok more time to finalise a deal. “The Deal requires more work to ensure all necessary approvals are signed, which is why I am signing an Executive Order to keep TikTok up and running for an additional 75 days,” Trump wrote. He said his administration hoped to “continue working in Good Faith with China” who he said were unhappy with the tariffs that he had imposed on imports from the country. Beijing needs to approve any divestment of TikTok, and will have control over who retains control of the critical algorithm. “We do not want TikTok to ‘go dark’. We look forward to working with TikTok and China to close the Deal,” Trump added. *This is a developing story*
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I don’t really get your point about politics as politics is everything so yes, it is a way to determine who’s right or the most ethical as well as many other things, I think you might be referring to only electoral politics, otherwise I’m not sure how you could be seeing politics as a way to not determine that.

I disagree, people are forced into things they do not want to do all the time.

There is nothing in a liberal democracy that prevents people from voting in their own self interest and that’s how it is in general as a consequence of combining liberal democracies with selfish ideologies like neoliberalism. Given this reality we can’t use politics to enforce ethics because people will vote you out and a politician should be accountable to his voters, otherwise they start to vote for whackos like Trump out of spite which makes things even worse. That’s just the rule of the game unless you’re for some kind of progressive autocracy or worse.

This probably sounds like I think we should dump women and LGBT folk under the bus but I truly believe that if we improved livelihood for people they wouldn’t need to look for people they can abuse to feel better about their own situation. Left should be emancipating groups of people to give them the power for self determination so that they can organise against the oppression. Given systemic constraints left can’t fight this fight for them.

Importantly, left should never abandon wins they scored for women but things like abortion became like a political Afghanistan (unwinnable fight that burns resources but there’s one more analogy later on). In my country left „fights” (very feebly) for this right despite women not being for it. More young women vote for the far right than any left wing party. Why make them happy by force? It’s not what they want and moralising left detracts from real goal of emancipating new groups and allowing them self-determination.

People who know me long would chuckle seeing me write this but this is a result of wasting too much time with nothing to show for it. And I think there are people who agitate conflict across this line because they know it won’t achieve anything. They also know that keeping this conflict going makes their wealth safe.

I know this is incredibly depressing way to think about things. I understand now that we tried to go to the finish line via shortcuts and we left people behind. Took me years of trying different things, mostly failing, refusing to listen to some people who always turned out to be right while I hated them for it. I feel like I had to try everything else before coming to those conclusions but realistically we’re out of options.

Maybe, but it could be a lot fairer than it currently is, my hope is one day it won’t be necessary though or at least not to the same degree that it is now.

I don’t get attached to details on the account of ADHD-like condition but also a track record of details not mattering over long spans of time. Our plans and expectations turn out to be silly all the time.


I am a cynical idealist so I don’t think there’s a way that doesn’t involve some sort of a compromise with people who think it should be different. Politics is not a way to determine who’s right or the most ethical but the means of working stuff out among groups with different interests. Maybe we can coalesce on something nice later on but for now we know that people can’t be forced into things they don’t want to be forced into. For now and probably forever we also need to coexist and that requires a common trading framework.


I can be called a commie and won’t flinch at it but currency is useful, you just don’t need to fetishise it. People should be rewarded for their work as long as it’s not some form of rentierism. How to organise it isn’t that relevant because there are many ways to achieve it.


Because some like proprietary and why would you make their lives harder? As long as it’s interoperable and a part of a broader healthy ecosystem there’s place for every approach.

Like, I wouldn’t mind if someone made a proprietary Activity Pub Reddit alternative. They could compete on some UI features, support, moderation etc. The more the merrier and we could all still talk.


In a perfect world that makes everyone happy there’s 5 Apples, 5 Microsofts, 10 open source projects funded by governments and 20 independent open source alternatives, all working same interoperable standards. I wish for a perfect world.


Happy birthday Microsoft, I won’t wish you dead because we need diversity in tech. Just don’t buy any more stuff. 🎊🥳🍾🪩


Eh, why fault technology when those people are just children that don’t know anything about running things but they’re deeply convinced they do. Trump is a narcissist with ADHD, doing this kind of scatterbrained but opinionated stuff is very on brand. I sympathise with the condition because I’m similar.

If anything more people should be pointing and ridiculing the formula that was used to derive tariff rates. They padded it with redundant calculation of 4x0.25 hidden away by Greek letters to make it look like something even worth writing down.


We should talk more about air-conditioning
> One twisted thing about cooling and climate change: It’s all a vicious cycle. As temperatures rise, the need for cooling technologies increases. In turn, more fossil-fuel power plants are firing up to meet that demand, turning up the temperature of the planet in the process. > “Cooling degree days” are one measure of the need for additional cooling. Basically, you take a preset baseline temperature and figure out how much the temperature exceeds it. Say the baseline (above which you’d likely need to flip on a cooling device) is 21 °C (70 °F). If the average temperature for a day is 26 °C, that’s five cooling degree days on a single day. Repeat that every day for a month, and you wind up with 150 cooling degree days.
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Yes, let’s change the definition so that prompt engineer is the person that comes up with discussion prompts for Jehovah’s witnesses to strike up conversations with strangers. I mean those that start out with ecology but turn out to be about bible in 2-3 minutes. These prompt engineers catch me off guard sometimes.



T-Mobile Shows Users the Names, Pictures, and Exact Locations of Random Children
Archive: https://archive.is/2025.04.02-180255/https://www.404media.co/t-mobile-shows-users-the-names-pictures-and-exact-locations-of-random-children/ > On Tuesday, some parents lost the ability to track the locations of their children using a T-Mobile tracking device and app and instead were shown the exact locations of random other children around the country, 404 Media has learned. > T-Mobile sells a small GPS tracker for parents called SyncUP, which they can use to track the locations of young children who don’t  have cell phones yet. Jenna, a parent who uses SyncUP to keep track of her three-year-old and six-year-old children, logged in Tuesday and instead of seeing if her kids had left school yet, was shown the exact, real-time locations of eight random children around the country, but not the locations of her own kids. 404 Media agreed to use a pseudonym for Jenna to protect the privacy of her kids. > “I’m not comfortable giving my six-year-old a phone, but he takes a school bus and I just want to be able to see where he is in real time,” Jenna said. “I had put a 500 meter boundary around his school, so I get an alert when he’s leaving.”  > Jenna sent 404 Media a series of screenshots that show her logged into the app, as well as the locations of children located in other states. In the screenshots, the address-level location of the children are available, as is their name and the last time the location was updated. In many cases, the location updated time said “just now” or “one minute ago.” It is clear the tracked people are children because their profile pictures show images of young kids wearing backpacks, and many of the locations shown are schools around the country.
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How crawlers impact the operations of the Wikimedia projects
> Since the beginning of 2024, the demand for the content created by the Wikimedia volunteer community – especially for the 144 million images, videos, and other files on [Wikimedia Commons](https://commons.wikimedia.org/wiki/Commons:Welcome) – has grown significantly. In this post, we’ll discuss the reasons for this trend and its impact. > The [Wikimedia projects](https://wikimediafoundation.org/our-work/wikimedia-projects/) are the largest collection of open knowledge in the world. Our sites are an invaluable destination for humans searching for information, and for all kinds of businesses that access our content automatically as a core input to their products. Most notably, the content has been a critical component of search engine results, which in turn has brought users back to our sites. But with the rise of AI, the dynamic is changing: We are observing a significant increase in request volume, with most of this traffic being driven by [scraping](https://en.wikipedia.org/wiki/Web_scraping) bots collecting training data for large language models (LLMs) and other use cases. Automated requests for our content have grown exponentially, alongside the broader technology economy, via mechanisms including scraping, APIs, and bulk downloads. This expansion happened largely without sufficient attribution, which is key to drive new users to participate in the movement, and is causing a significant load on the underlying infrastructure that keeps our sites available for everyone.
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