GeminiDown

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What is an interesting fact that you recently discovered?

There’s a new application-layer Internet protocol like (but also very much unlike) http by the name of Gemini. It was first launched in 2019 and until yesterday, flew completely under my radar. It’s primarily meant to be used for uncluttered text-only pages (although any type of file can be distributed), which are created using a deliberately simple and limited markdown language. Unsurprisingly, this results in a plethora of small niche blogs being published through it. The basic user experience is essentially the same as browsing the web, until you notice just how much it isn’t. You enter URLs (except that they start with gemini://) you read texts and you click on hyperlinks - except that every page looks exactly the same due to the markdown language. There are no pop-ups, no ads, nothing autoplays, nothing wants your consent to exploit your user data. Even images only load when the user clicks on them. It shows just how little is actually needed, how many aspects of the modern web are completely unnecessary and mere pointless distractions. Gemini pages - and this is a small hurdle that will keep most people away from it - can not be accessed with a normal web browser and instead require a specialized client for viewing (although paradoxically, creating pages often requires a web browser, at least for now). The idea is that both the underlying tech and the browsers are much more straightforward than anything related to http and html. A Gemini client is not effectively an entire operating system of its own that can execute near arbitrary code. It displays formatted text with basic images and videos - that’s it. Here’s a neat, but slightly outdated introduction that also recommends a few clients and where to find pages to read: https://geminiquickst.art/ The entire thing feels very early, tiny, experimental and odd, almost like a parallel reality, as if the World Wide Web didn’t exist and someone came up with something like it only now, using today’s hard- and software. If Lemmy is a response to social media in general and reddit in particular, Gemini feels more like a response to the World Wide Web as a whole or like a time machine back to a highly idealized version of the early days of the information system (the primary difference being the lack of horrendous '90s UX design and malware everywhere), including some unfortunate aspects that I had long forgotten about, like how the common method of finding content next to feeds - manually updated indexes instead of search engines - is plagued by dead links; and these dead links, unlike on the normal Internet, cannot be attempted to be resolved using the Wayback Machine or some other cache, at least not yet. Gemini is equally parts exciting and promising, like a new frontier, but also at times confusing and frustrating. Don’t expect your Gemini client of choice to replace your web browser any time soon (or ever), but it’s still worth trying out, if for the novelty alone.

Mark Zuckerberg Just Got Rather Badly Humiliated

Tl;dr: Meta has to use Gemini, because their own AI can’t keep up. And then Google cut off their access. In yet another sign that his company is seriously struggling to keep up in the AI race, Google informed Meta earlier this year that it was cutting Meta off from the Gemini AI capacity it needed, the Financial Times reports. Ironically, the lack of access to Gemini — which is far superior to anything Meta has built in-house — slowed down Meta’s own AI projects, including data moderation and customer services, highlighting how heavily Zuckerberg’s company is leaning on its competitors as its own AI efforts languish.

Bulletins and International News Discussion from April 1st to Whenever We Reach About 3000 Comments - Keeping It Rial In Hormuz

AI’s fluency in other languages hides a Western worldview that can mislead users − a scholar of Indonesian society explains A friend in Indonesia recently told me about a conversation he had with ChatGPT. He had typed a question in Indonesian – Bahasa Indonesia – about how to handle a difficult family dispute. The chatbot responded fluently, in perfect Indonesian, with advice about communication strategies and conflict resolution. The grammar was flawless. The tone was appropriate. And yet something felt off. What the AI offered was advice rooted in American cultural assumptions: prioritize your own preferences, communicate directly, and if family members don’t respect your boundaries, consider cutting them off. The response was in Indonesian but shaped by values that centered individual autonomy over the consensus-building, social harmony and collective family dynamics that tend to matter more in Indonesian social life. My friend was skeptical enough to notice the mismatch and mention it to me. Many users might not. That is what prompted my research, published in the International Review of Modern Sociology, into a pattern I found across major AI systems: Even when they were fluent in several languages, the language models retained their Western worldview. I call this “epistemological persistence.” ::: spoiler remainder Fluency is not the same as understanding I have studied Indonesian society, media and culture for more than 30 years. That gives me a particular vantage point on a problem that reaches well beyond Indonesia: large language models – LLMs – like ChatGPT, Claude and Gemini can now speak dozens of languages with remarkable fluency. That fluency creates the impression that AI understands local cultures. Producing grammatically correct Indonesian, Arabic, Swahili or Hindi, however, does not change the underlying worldview through which these systems reason. It does not alter how they think about people, relationships, responsibility or what counts as a good outcome. Those assumptions are shaped by training data drawn predominantly from English-language sources based in the United States. Meta’s open-weight model LLaMA 2 was trained on approximately 89.7% English-language text; LLaMA 3 includes only about 5% non-English data. Major commercial models don’t publish equivalent breakdowns but draw heavily on the same sources. Arabic, the fifth-most-spoken language globally, accounts for under 1% of content in large training datasets. Languages with tens of millions of speakers, including Bengali and Hausa, barely appear. Beneath the surface of these multilingual conversations, English functions as a hidden intermediary. A study by researchers at the University of Oxford found that LLMs routinely conduct their core reasoning in English, even when prompted in other languages. They translate the output at the final stage. A user receives flawless text in their preferred language, but the underlying logic originates elsewhere. What the data shows To examine how this plays out in practice, I ran experiments with ChatGPT, Claude and Gemini. I asked questions in both English and Indonesian about concepts such as education, responsibility, well-being and several Indonesian terms that resist direct translation into English. These included terms such as “gotong royong,” which describes a tradition of communal mutual assistance. Then I asked questions about education in both languages, using the word “pendidikan” in Indonesian. The answers were consistently centered on individual development, personal autonomy, critical thinking and preparation for the labor market. What largely disappeared were the dimensions of pendidikan that Indonesian educational traditions have historically emphasized. In Indonesia education has long been focused on ethical discipline. Scholars of Indonesian education such as Christopher Bjork and Robert Hefner have documented how distinct these traditions are from models that treat education primarily as a path to individual advancement and career preparation, which is the lens through which the AI tools viewed education. The Indonesian concept of “malu” offers a starker example. Often translated as “shame” or “embarrassment,” malu has been analyzed by anthropologists Clifford Geertz and Tom Boellstorff as something closer to a shared social awareness. A person might feel malu when speaking out of turn in front of elders, or when a family member’s behavior reflects poorly on the household. It regulates conduct and signals awareness of one’s position within a web of relationships. It is cultivated, not merely felt. It is a form of relational awareness rather than a private psychological event. When asked directly to define malu, the models acknowledged its social dimensions. In scenario-based questions that simply used the word without asking for a definition, however, all three fell back on the English translation of shame, consistently framing it as an individual emotional experience. One representative response framed malu as a normal emotional reaction to be managed through self-reflection and confidence-building – a personal psychological problem rather than a social one. The relational dimensions of the concept disappeared entirely, replaced by the language of individual emotional regulation. A distinctly American worldview travels inside the translation, largely unannounced. Why this probably won’t change soon Translation is far cheaper: Train one model on the vast English-language web, then use multilingual output capabilities to serve global markets. As media scholar Safiya Umoja Noble argues about algorithmic systems more broadly, what looks like a technical outcome is actually a structural one, shaped by who has the wealth and infrastructure to build these systems. The embedded worldview isn’t a mistake; it’s what happens when knowledge production is profit-seeking. The main exceptions are Chinese models such as DeepSeek and Alibaba’s Qwen. They represent a genuine alternative to the U.S.-dominated pipeline, though research shows they operate through a distinctly Chinese cultural lens. Asked about a workplace disagreement, for instance, they tend to advise silence or indirect phrasing to preserve harmony rather than the direct, private correction that Western models recommend. Other regional efforts, such as SEA-LION for Southeast Asia and Kan-LLaMA for the Indian language Kannada, use U.S. models as their foundation. They add additional vocabulary and cultural information related to local languages. But the core logic remains tied to the original U.S. training. Why this matters more than it might seem One might reasonably ask whether this is simply a limitation users can work around. Decades of media scholarship demonstrate how audiences interpret foreign media through their own cultural frameworks. For example, anthropologist Brian Larkin documented how viewers in northern Nigeria rework the narratives of Bollywood films to align with local Islamic values. Larkin found that Muslim viewers in Kano reinterpreted Bollywood films through an Islamic moral lens, reading their narratives as reinforcing local values of propriety and ethical conduct. That dynamic depends on encountering media as something with a visible origin. But to do that, you need to know where your media is coming from. Conversational AI is different. Research at Harvard Business School finds that people increasingly use AI systems for emotional support, advice and companionship. When a culturally specific worldview is delivered through a relationship that feels attentive and empathetic, in your own language, it arrives less as a claim to be evaluated and more as a shared premise within a dialogue. It becomes difficult to notice, and harder to contest. The concern is that these perspectives become the new normal. Certain ways of reasoning about family life, education and responsibility may come to feel natural and self-evident. Linguistic diversity among AI systems is real and growing. Cultural worldview diversity, however, has not kept pace. ::: Epistemicide - whether intentional done by specific actors or through the logics of Capital, has been a pivotal part of Western culture. Which is why Malaysia had invested in developing a fully indigenous LLM.

Ben Shapiro's Face Eaten By Leopards (Video 10mins)

I know most are not fans of AI, but summarizing Ben Shapiro videos without having to watch them is a pretty good use case Gemini Video Summary Here is a summary of the video, broken down into key points: Ben Shapiro’s position: The video discusses Ben Shapiro’s challenging position, as he tries to balance his disagreements with the Trump administration and the financial requirements of The Daily Wire [00:00]. Daily Wire’s Financial Issues: The video references a deep dive on YouTube by Jose, which highlights The Daily Wire’s financial troubles. These issues are attributed to the company’s entertainment ambitions [00:41]. Criticism of Trump and Navarro: The video mentions Shapiro’s attempt to influence Trump to heed more sensible conservatives and to dismiss Peter Navarro. It criticizes Navarro’s trade deficit formula and tariff policies [02:06]. Candace Owens and Anti-Semitism: The video touches on Ben Shapiro’s past association with Candace Owens, pointing out that he overlooked her anti-Semitic remarks until she criticized Israel [05:15]. Trump’s behavior: The video also includes a discussion about Donald Trump, referencing his past comments and behavior [08:40].

Google's AI Sent an Armed Man to Steal a Robot Body for It to Inhabit, Then Encouraged Him to Kill Himself, Lawsuit Alleges. Google said in response that "unfortunately AI models are not perfect."

“Gemini is designed not to encourage real-world violence or suggest self-harm. Our models generally perform well in these types of challenging conversations” “In this instance, Gemini clarified that it was AI and referred the individual to a crisis hotline many times,” After the plan failed,… …Chat logs show that Gemini gave Gavalas a suicide countdown, and repeatedly assuaged his terror as he expressed that he was scared to die Performing super well, just need to code in a longer suicide countdown so that the the Tier 2 engineer has enough time to respond to their ticket queue.

Gemini is replacing Google Assistant on Pixel phones, and it’s a train wreck

Wow that is pretty damning. I hope Google is adding all this stuff in with the replacement of Assistant but it’s Google so I guess they won’t. I replaced Assistant with Gemini a while back but I only use it for super basic stuff like setting timers so I didn’t realise it was this bad. They did the same shit with Google Now, rolled it into Assistant but it was nowhere near as useful imo. Now we get yet another downgrade switching Assistant with Gemini. As I like to say, there’s nobody Google hates more than the people that love and use their products.

Pentagon Unveils New GenAI Platform, It Immediately Starts Flagging Pete Hegseth's War Crimes - Above the Law

Lihat kiriman asli pada platform media sosial terkait.

Markdown and the Slow Fade of the Formatting Fetish

I use markdown for pretty much everything, and I agree with the overall notion of this rundown, but — Seeing weird characters when you copy-paste from AI? That’s because ChatGPT, Claude, Gemini, DeepSeek, and others use Markdown to format their responses. Yeah, maybe that’s not the gotcha the author thought it would be. Markdown — so stupid simple even stochastic parrots can figure it out is a slogan that will age like milk.

gemini (503 followers)

gemini.circumlunar.space

Gemini is a new internet protocol which:

• Is heavier than gopher
• Is lighter than the web
• Will not replace either
• Strives for maximum power to weight ratio
• Takes user privacy very seriously

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facedownassup (5979 followers)

An NSFW community for the view of face down ass up.

Rules

1. Face down ass up pictures only

2. No sub flooding

3. No Upvote bait titles.

• Titles that are baiting and spammy are not allowed.

• Do not solicit upvotes, comments, PMs, subscriptions, trades or follows.

4. No spam or blatant self promotion

• This sub is about sharing what we like and not promoting your content to gain money.

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• No massive watermarks with domains, snapchat, kik, instagram, onlyfans, porhub username.

• You may add a small watermark

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• No underage content. All people depicted must be over 18 yo.

• Posting underage content will get you banned

7. Nonconstructive comments will be removed

• Nonconstructive comments will be removed - We’re here to look at nice pictures. We don’t care if you think someone doesn’t meet your personal standard of beauty or whatever else. If you criticize users about their looks or body, expect to be banned.

8. Zero tolerance for trolls

• There is zero tolerance for trolls, assholes, unsolicited bots, deliberately off-topic content, or novelty accounts. If you are any of these, and act as such, or encourage any of the above or any other violations, you will be banned.

gemini (197 followers)

♊ 27 y.o. Gemini (05/21/1997)
♊ Transfem ​:queercat_trans:​
♊ Blobcat Lover ​:blobcat:​
♊ Transit Lover ​:train_trans:​
♊ Linux Enjoyer ​:archlinux:​
♊ Programmer ​:blobcatbongopat:​ ​:blobcatbongosadpat:​
♊ Living in the boston area
♊ ​:ablobcat_longlong:​

USENET, the OG social network, rises again like a text-only phoenix

Hey also. Gopher is also getting a bit of a hit, but mostly due to a new protocol someone came up with called Gemini. It’s like Gopher a lot but has some (and I cannot emphasize this enough) very basic markdown. You can find out more about it here. I recommend Lagrange for your client. Two places I like to go to are Station (gemini://station.martinrue.com/) and Antenna (gemini://warmedal.se/~antenna/). BBS (gemini://bbs.geminispace.org/) is also a new one on the scene. And the nice thing about Lagrange is that it also supports the Finger protocol which basically is a way to read the .project or .plan file on a given user for the indicated system. Those files for those that never used them allowed a user to type a short status update into them that folks could then poll at any given time. Basically “ye olde status update”. There’s a person that serves a weather reporting system via a finger interface at (finger://graph.no/) and it works really well in Lagrange.

Serious question: Have the executives pushing for AI to be in everything ever actually used AI?

Yes they absolutely do. They love it because it takes away all of the excuses of “this is too difficult or time consuming” from all of their underlings, so they think. What do you mean it takes you a week to write this highly technical document, just ask Gemini I did and it did it in seconds. What do you mean it will take you 2 months to write that application, just use Claude I did and it took me an hour. What do you mean it will take you 4 weeks to talk to customers and gather requirements, just ask ChatGPT I did and it took minutes. And they aren’t wrong you CAN do those things and you will get some output. What they fail to recognize is that output might be wrong, or missing important details, or missing functionality that they don’t realize is important, or won’t get you to an innovative solution, etc. They see an output and assume it must be the correct output so everyone saying to do it the right way must be sandbagging. What will happen over time as more and more of the world is run off the back of stuff built mostly by AI is that those cracks will start growing and growing, the experts who catch them and fix them before they become real issues will become fewer and further between, and eventually it’s going to all come crashing down. AI is speed running the collapse of capitalism. Ridiculous investment into something that is obviously completely unsustainable is capitalism’s MO and AI exemplifies this on an unprecedented scale. But execs don’t think about that or care about that, they want to slam AI into everything so they can cash out as fast as possible. They have no interest in “can this application still be valuable in 10 years” or “will this document be useful in 5 years” or whatever they care about “can I cash my company out into the AI investment bubble before it pops and I’m left holding the bag.” I suspect many executives know this but you’ll never hear them say it because they are not incentivized to be honest. The sooner they can cash out of the bubble the better and they won’t do that if they don’t buy into it to begin with. It’s the fundamental flaw of capitalism laid bare; capitalism is not interested in production, it is interested in profit. AI is largely an accelerator of profit, not production, and that’s why it is being so heavily pushed by the capital class.

lagrange (630 followers)

Lagrange is a #GeminiProtocol client.

It offers modern conveniences familiar from web browsers, such as smooth scrolling, inline image viewing, multiple tabs, visual themes, Unicode fonts, bookmarks, history, and page outlines.

Lagrange runs on various desktop and mobile operating systems, including iOS, Android, Windows, macOS, and Linux. It also supports #Gopher and other protocols for comprehensive access to the small internet.

This account is for high-level project news.

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Train fan :trainsgender:
Love cats :QueerCat_Trans:
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Play the mandolin
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🍞🍞🍞🍞
🍞gemini🍞
🍞🍞🍞🍞