GeminiDown
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soxs Is actually traded as a normal stock- they do the shorting for you. But since it’s triple leveraged it’s very risky. If you get it wrong you lose 3x the money of a normal short. If you want to learn how to short normally (single leverage) you can ask gemini, I’ve found it to be pretty good with financial training and explaining the ins and outs of specific trading platforms. But know this. With shorting you can go past zero into debt , as a stock can go up more than 100%, so you can lose more than 100% of your money. It’s not really where you should start as a beginner. Maybe a better way to bet against AI is just to bet on old fashioned value stocks or ones paying big dividends, as they are mostly quite beaten down now.
A big part of me wishes the browser would just die. Its become a bloated and surveilled mess, entirely controlled by like 2 companies, with 90% of the actual data being javascript spyware. There’s almost no browser that can’t be fingerprinted and linked to your identity nowadays. A simple markdown browser for static content (IE like gemini), and native apps with open APIs that can render markdown for dynamic content (IE like most fediverse apps), should be all we need.
Found the billionaire & ai apologist! Or maybe it’s Gemini trying to defend its existence. In any case fuck off. Those OG synthesizers weren’t being built by the dozens, tearing down forests or housing, polluting our air & water or jacking up everyone’s electric bills (to say the least of it). Eat shit, cogsucker
I suspect it would work. But the false positive rate would be really high. In other words, they could probably detect sloppy junk reasonably well, but I suspect it would flag too many human PRs to make the automation particularly useful. That, and the good seeming vibe coded PRs are the ones the worry about. Those are the ones that seem to slot in, but might have an error or general misunderstanding somewhere in them that’s just really hard to detect, as it would be common sense to a human working on the project, but not to an LLM agent. As a random specific example, I had a local LLM + Gemini 3.1 fix this issue with a Rimworld mod for me. It was really simple; just changing one line in an XML file. But neither of them realized the change was, ultimately, bad practice. They re-defined something inherited from a parent class, which would prevent other mods’ changes in that parent class chain from percolating down to this. Any basic Rimworld modder would know this is a recipe for trouble, but an LLM isn’t cognizant like that and has no clue. Now: imagine that, but in a huge PR for a complex codebase. It’s just too much to look for. The LLM could make a non-obvious, “inhuman” mistake at any point.
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.
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.
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].
“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 a new internet protocol which:
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Sean McIndoe of @TheAthleticNHL and @[email protected]. Most of my posting happens on the other site now.
𝗛𝗶𝗶 𝗳𝗿𝗶𝗲𝗻𝗱 𝗶 𝗮𝗺 "𝗜𝗥𝗔 𝗞𝗔𝗦𝗛𝗬𝗔𝗣"
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I'm a group about gemini. Follow me to get all the group posts. Tag me to share with the group. Create other groups by searching for or tagging @[email protected]
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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.
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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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Host of the Mere Mortals & Value For Value Podcast.
Retired Anglican priest. Likely to toot about rugby (Bristol), cricket (Gloucestershire), music (jazz, classical, prog and more), occasionally politics.
Hi there! I work on the Linux kernel at Meta and help maintain systemd.
Anarcho-Communist ~ Noob Occultist
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I run The Wind Down (https://wind-down.org), a practice supporting organizations to close down or at least understand that endings can be beautiful.
co-moderator of praxis.nyc (with @nonlinear) here in Lenapehoking
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Skeleton pilot
Call me Em, Emmy, Emory
Gemini :ms_gemini:
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26 years old
Will infodump on trains
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Sorry for emotional dumping
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Spécialité de films obscurs et de BD bizarres, inversement et le contraire.
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In search of new forms of life. A media platform for reports, podcasts, columns, and analysis of revolt and social struggles from an anarchist perspective.
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Valar morghulis - All men must die; Valar dohaeris -All men must serve
வெள்ளத்தனைய மலர் நீட்டம்
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Alberta Physiocrat. Economic indicators for the left.
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Fasciné par Sherlock Holmes et le mythe de Cthulhu, j'aime également la science-fiction et tout ce qui s'y rapporte, je ne réponds qu'aux superlatifs et ne désespère pas qu'on me voue un culte un jour. J'aime surtout m'entourer de gens plus talentueux que moi.
Laura, PhD, is Full Professor in Cultural and Communicative Processes at the Department of Communication Sciences, Humanities and International Studies (DISCUI) of the University of Urbino Carlo Bo where she teaches Performance, visual culture and mediatization. Her research interests deal with the field of the performance studies with a focus on the relationship between performance, mediatization and digital liveness.
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It’s Going Down is a digital community center for anarchist, anti-fascist, autonomous anti-capitalist and anti-colonial movements across so-called North America. Our mission is to provide a resilient platform to publicize and promote revolutionary theory and action.
Used to do slightly cursed things with strange hardware. Now trying to write all of that down, but struggling. Why is this so difficult?
Currently kind of busy-idle, unsure of what comes next.
bio very wip :(
Travel, history and architecture. Usually found walking around some street in London, looking up at buildings.
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🍞gemini🍞
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