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submitted 7 months ago by hedge@beehaw.org to c/technology@beehaw.org
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submitted 7 months ago by hedge@beehaw.org to c/technology@beehaw.org

🤔Am I overdoing it with all the reddit-related posts? https://archive.is/SFcRn

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submitted 7 months ago* (last edited 7 months ago) by Powderhorn@beehaw.org to c/technology@beehaw.org

Ars provides this asterisk:

Even though the spreadsheet contains a complete AI language model, you can't chat with it like ChatGPT. Instead, users input words in other cells and see the predictive results displayed in different cells almost instantly. ... [L]anguage models like GPT-2 were designed to do next-token prediction, which means they try to complete an input (called a prompt, which is encoded into chunks called tokens) with the most likely text. The prediction could be the continuation of a sentence or any other text-based task, such as software code. Different sheets in Anand's Excel file allow users to get a sense of what is going on under the hood while these predictions are taking place.

Direct github link here; YouTube intro from the creator here.

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The platform says it stands to make more than $200 million in coming years from Google and other companies that want user comments to feed AI projects. Regulators have questions.

Reddit said ahead of its IPO next week that licensing user posts to Google and others for AI projects could bring in $203 million of revenue over the next few years. The community-driven platform was forced to disclose Friday that US regulators already have questions about that new line of business.

In a regulatory filing, Reddit said that it received a letter from the US Federal Trade Commision on Thursday asking about “our sale, licensing, or sharing of user-generated content with third parties to train AI models.”

The FTC, the US government’s primary antitrust regulator, has the power to sanction companies found to engage in unfair or deceptive trade practices. The idea of licensing user-generated content for AI projects has drawn questions from lawmakers and rights groups about privacy risks, fairness, and copyright.

Reddit isn’t alone in trying to make a buck off licensing data, including that generated by users, for AI. Programming Q&A site Stack Overflow has signed a deal with Google, the Associated Press has signed one with OpenAI, and Tumblr owner Automattic has said it is working “with select AI companies” but will allow users to opt-out of their data being passed along. None of the licensors immediately responded to requests for comment. Reddit also isn’t the only company receiving an FTC letter about data licensing, Axios reported on Friday, citing an unnamed former agency official.

It’s unclear whether the letter to Reddit is directly related to review into any other companies.

Reddit said in Friday’s disclosure that it does not believe that it engaged in any unfair or deceptive practices but warned that dealing with any government inquiry can be costly and time-consuming. “The letter indicated that the FTC staff was interested in meeting with us to learn more about our plans and that the FTC intended to request information and documents from us as its inquiry continues,” the filing says. Reddit said the FTC letter described the scrutiny as related to “a non-public inquiry.”

Reddit, whose 17 billion posts and comments are seen by AI experts as valuable for training chatbots in the art of conversation, announced a deal last month to license the content to Google. Reddit and Google did not immediately respond to requests for comment. The FTC declined to comment.

AI chatbots like OpenAI’s ChatGPT and Google’s Gemini are seen as a competitive threat to Reddit, publishers, and other ad-supported, content-driven businesses. In the past year the prospect of licensing data to AI developers emerged as a potential upside of generative AI for some companies.

But the use of data harvested online to train AI models has raised a number of questions winding through boardrooms, courtrooms, and Congress. For Reddit and others whose data is generated by users, those questions include who truly owns the content and whether it’s fair to license it out without giving the creator a cut. Security researchers have found that AI models can leak personal data included in the material used to create them. And some critics have suggested the deals could make powerful companies even more dominant.

The Google deal was one of a “small number” of data licensing wins that Reddit has been pitching to investors as it seeks to drum up interest for shares being sold in its IPO. Reddit CEO Steve Huffman in the investor pitch described the company’s data as invaluable. “We expect our data advantage and intellectual property to continue to be a key element in the training of future” AI systems, he wrote.

In a blog post last month about the Reddit AI deal, Google vice president Rajan Patel said tapping the service’s data would provide valuable new information, without being specific about its uses. “Google will now have efficient and structured access to fresher information, as well as enhanced signals that will help us better understand Reddit content and display, train on, and otherwise use it in the most accurate and relevant ways,” Patel wrote.

The FTC had previously shown concern about how data gets passed around in the AI market. In January, the agency announced it was requesting information from Microsoft and its partner and ChatGPT developer OpenAI about their multibillion dollar relationship. Amazon, Google, and AI chatbot maker Anthropic were also questioned about their own partnerships, the FTC said. The agency’s Chair Lina Khan described its concern as being whether the partnerships between big companies and upstarts would lead to unfair competition.

Reddit has been licensing data to other companies for a number of years, mostly to help them understand what people are saying about them online. Researchers and software developers have used Reddit data to study online behavior and build add-ons for the platform. More recently, Reddit has contemplated selling data to help algorithmic traders looking for an edge on Wall Street.

Licensing for AI-related purposes is a newer line of business, one Reddit launched after it became clear that the conversations it hosts helped train up the AI models behind chatbots including ChatGPT and Gemini. Reddit last July introduced fees for large-scale access to user posts and comments, saying its content should not be plundered for free.

That move had the consequence of shutting down an ecosystem of free apps and add ons for reading or enhancing Reddit. Some users staged a rebellion, shutting down parts of Reddit for days. The potential for further user protests had been one of the main risks the company disclosed to potential investors ahead of its trading debut expected next Thursday—until the FTC letter arrived.

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cross-posted from: https://midwest.social/post/9868784

SIM swappers have adapted their attacks to steal a target's phone number by porting it into a new eSIM card, a digital SIM stored in a rewritable chip present on many recent smartphone models.

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submitted 7 months ago* (last edited 7 months ago) by hedge@beehaw.org to c/technology@beehaw.org
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Loving these articles about how the technology has changed in 20 years.

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WHEN PEOPLE ask Michael Moritz, a former journalist and prominent tech investor, what book they should read to understand Silicon Valley, he always recommends two. “They are not about Silicon Valley, but they have everything to do with Silicon Valley,” he says.

One is “The Studio” (1969) by John Gregory Dunne, an American writer who spent a year inside 20th Century Fox watching films get made and executives try to balance creativity with profit-seeking. The other, “Swimming Across” (2001) by Andy Grove, the former boss of Intel, a chipmaker, is a memoir about surviving the Holocaust. It shows how adversity can engender grit, which every entrepreneur needs.

That Sir Michael does not suggest a book squarely about the tech business says a lot. Silicon Valley has produced some of the world’s most gargantuan companies, but it has not inspired many written accounts with a long shelf life. Wall Street, on the other hand, claims a small canon that has stood the test of time, from chronicles of meltdowns (“Too Big to Fail”), to corporate greed (“Barbarians at the Gate”) to a fictionalised account (“The Bonfire of the Vanities”) that popularised the term “masters of the universe”.

Why not the masters of Silicon Valley? Part of the problem is access, as is often the case when writing about the powerful. Tech executives may let their guards down at Burning Man, but they have been painstakingly trained by public-relations staff to not get burned by writers. This has been the case for a while. When John Battelle was writing “The Search” (2005), about online quests for information, he spent over a year asking to interview Google’s co-founder, Larry Page. The firm tried to impose conditions, such as the right to read the manuscript in advance and add a footnote and possible rebuttal to every mention of Google. He declined. Google ended up granting the interview anyway.

Journalists who manage to finagle access can feel they owe a company and its executives and, in turn, write meek and sympathetic accounts rather than penetrating prose. Or they cannot break in—or do not even try—and write their book from a distance, without an insider’s insights.

Two new books demonstrate how hard it is to write well about Silicon Valley. “Filterworld” is an outsider’s account of the Valley’s impact, which reads as if it was entirely reported and written in a coffee shop in Brooklyn. The book laments how “culture is stuck and plagued by sameness” and blames Silicon Valley’s algorithms, “the technological spectre haunting our own era of the early 21st century”.

This is the sort of tirade against tech that has spread as widely as Silicon Valley’s apps. It is not wrong, but nor is it insightful. The author, Kyle Chayka, who is a journalist for the New Yorker, never reconciles the tension between the cultural “sameness” he decries and the personalisation everyone experiences, with online users possessing individual feeds and living in separate informational bubbles. Nor is this a wholly new phenomenon. People have been complaining about globalisation eroding local culture since “recorded civilisation” began, the author concedes. In 1890 Gabriel Tarde, a French sociologist, lamented the “persistent sameness in hotel fare and service, in household furniture, in clothes and jewellery, in theatrical notices and in the volumes in shop windows” that spread with the passenger train.

“Burn Book” is a better, though imperfect, read. Kara Swisher, a veteran chronicler of Silicon Valley, is both an insider and an outsider. She has attended baby showers for tech billionaires’ offspring, and even hosted Google’s top brass for a sleepover at her mother’s apartment. But she has a distaste for the Valley’s “look-at-me narcissists, who never met an idea that they did not try to take credit for”.

In delicious detail, she offers her verdict on the techies who have become household names, such as Facebook’s founder: “As sweat poured down Mark Zuckerberg’s pasty and rounded face, I wondered if he was going to keel over right there at my feet.” (That was in 2010, before he had gone through media-training galore.) Much as Truman Capote, an American writer, was willing to skewer the socialite swans of New York, Ms Swisher delights in prodding some of her subjects to make readers smile and squirm, such as media mogul Rupert Murdoch (“Uncle Satan”) and Amazon’s Jeff Bezos (“a frenetic mongoose” with “a genuinely infectious maniacal laugh”).

Ms Swisher does not have Capote’s élan, but her book succeeds where many fail because she explores the relationship between subject and writer, which lurks in the background of most tech books. In detailing her interactions with tech bosses over three decades, she shows how the industry became more furtive and destructive, less free and fun.

While Ms Swisher uses her memoir to hold up a mirror, unfortunately she does not gaze at it long. After chronicling the internet for the Washington Post, Wall Street Journal and her own outfit, Recode, she moved from the Valley to the swamp—Washington, DC—acknowledging that “I had become too much a creature of the place” and “part of the scene in a way that was starting to feel uncomfortable”.

Still, she declines to tease out some of the more complicated aspects of covering the Valley, such as the thin line between source, friend and adviser and exactly how she covered the Valley dispassionately when her then-wife was a Google executive. Despite her journalistic ferocity, the reality was that Ms Swisher could not eviscerate many of her subjects, because she depended on them accepting her invitation to speak at her annual conference, one of her major sources of income, and on her podcast. She was not just “part of the scene”—she played a leading role.

Of course, journalists are not the only ones who deal with personal conflicts that affect how and what they write about tech. Too many in the Valley pursue books to buttress their personal brand, like a website or résumé that just happens to have a spine (but reads as spineless). This explains why so many venture capitalists have ventured into book-writing. The best of the lot is “Zero to One” (2014) by Peter Thiel, an early investor in Facebook, and Blake Masters, a student who took a class taught by Mr Thiel at Stanford. However, explaining how to build a monopoly, as it does with welcome and rare frankness, is probably something Mr Thiel and his ilk regret, considering the scrutiny Silicon Valley has since elicited from regulators. Monopolies are not so in vogue these days.

Yet the simplest explanation for why it is so hard for a book about Silicon Valley to hit the mark is probably the most obvious: timing. The snail’s pace of research and publishing is badly suited to Silicon Valley’s speed. Today’s pressing book idea is next year’s stale one. Innovation cycles and companies’ futures often pivot too quickly.

Take Adam Lashinsky, a journalist who wrote a book about Uber. He watched as the company faltered and tried to keep his text up to date. His aptly titled “Wild Ride” was published in 2017, a month before the dramatic firing of Uber’s boss, Travis Kalanick. Mr Lashinsky has since sworn off writing about tech. His next book is about William Safire, a dead newspaper columnist. It is a subject that will not go out of date—and not try to control the narrative. ■

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submitted 7 months ago by Bebo@literature.cafe to c/technology@beehaw.org

Emotion artificial intelligence uses biological signals such as vocal tone, facial expressions and data from wearable devices as well as text and how people use their computers, to detect and predict how someone is feeling. It can be used in the workplace, for hiring, etc. Loss of privacy is just the beginning. Workers are worried about biased AI and the need to perform the ‘right’ expressions and body language for the algorithms.

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Outlook (new) (jlai.lu)
submitted 7 months ago by ElCanut@jlai.lu to c/technology@beehaw.org
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submitted 7 months ago by admin@beehaw.org to c/technology@beehaw.org
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cross-posted from: https://beehaw.org/post/12450534

I'm trying to play Rain World with a friend, but steam remote play doesn't seem to be working. I've managed to play online with friends on other games, though I dont thing those would have been using Steam Remote Play. Whenever I right click my friend's steam name and click "invite to play" or whatever its called, it does nothing. I can invite him to watch me play, and watch him play, but the invite to play doesn't work. Clicking his invites also does nothing, regardless of whether the game is open or closed. I have played Rain World with my friend when I was still using windows, and I'm wondering if this is just a linux problem. Has anyone encountered the same problem? Does anyone know how to fix this?

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submitted 7 months ago by ZeroCool@beehaw.org to c/technology@beehaw.org
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submitted 7 months ago by Gaywallet@beehaw.org to c/technology@beehaw.org
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submitted 7 months ago by Bebo@literature.cafe to c/technology@beehaw.org

Brin’s “We definitely messed up.”, at an AI “hackathon” event on 2 March, followed a slew of social media posts showing Gemini’s image generation tool depicting a variety of historical figures – including popes, founding fathers of the US and, most excruciatingly, German second world war soldiers – as people of colour.

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submitted 7 months ago by admin@beehaw.org to c/technology@beehaw.org
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submitted 7 months ago* (last edited 7 months ago) by hertg@infosec.pub to c/technology@beehaw.org

From housing, to media, to printers, to everything else. Get ready to own nothing; pay rent on everything.

Disclaimer: I am the author

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Technology

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