Tim Berners-Lee thinks AI will help the web, not destroy it. The inventor of the World Wide Web has spent years warning about platform concentration and social media's corrosive effects, but he views AI differently. AI has accomplished what his Semantic Web project could not. The technology extracts structured data from websites regardless of how the information was formatted. Berners-Lee spent decades trying to convince database owners to make their systems machine-readable voluntarily. AI companies simply took the data anyway. They achieved the machine-readable internet through extraction rather than cooperation, but the result is the same.

Berners-Lee also weighed in on the growing browser competition in the market. OpenAI released Atlas a few weeks ago. Perplexity has launched Comet. Google has expanded AI features in Chrome. All these browsers run on Chromium, which Berners-Lee acknowledges is not ideal, but conceded that browser engines are expensive to build. He thinks Apple's decision to restrict iPhones to WebKit prevents web apps from competing with native apps.

The literary magazine of the Phi Beta Kappa society argues "the replacement of human readers by AI has lately become a real possibility.

"In fact, there are good reasons to think that we will soon inhabit a world in which humans still write, but do so mostly for AI." "I write about artificial intelligence a lot, and lately I have begun to think of myself as writing for Al as well," the influential economist Tyler Cowen announced in a column for Bloomberg at the beginning of the year. He does this, he says, because he wants to boost his influence over the world, because he wants to help teach the AIs about things he cares about, and because, whether he wants to or not, he's already writing for AI, and so is everybody else. Large-language-model (LLM) chatbots such as ChatGPT and Claude are trained, in part, by reading the entire internet, so if you put anything of yourself online, even basic social-media posts that are public, you're writing for them.

If you don't recognize this fact and embrace it, your work might get left behind or lost. For 25 years, search engines knit the web together. Anyone who wanted to know something went to Google, asked a question, clicked through some of the pages, weighed the information, and came to an answer. Now, the chatbot genie does that for you, spitting the answer out in a few neat paragraphs, which means that those who want to affect the world needn't care much about high Google results anymore. What they really want is for the AI to read their work, process it, and weigh it highly in what it says to the millions of humans who ask it questions every minute.

How do you get it to do this? For that, we turn to PR people, always in search of influence, who are developing a form of writing (press releases and influence campaigns are writing) that's not so much search-engine-optimized as chatbot-optimized. It's important, they say, to write with clear structure, to announce your intentions, and especially to include as many formatted sections and headings as you can. In other words, to get ChatGPT to pay attention, you must write more like ChatGPT. It's also possible that, since LLMs understand natural language in a way traditional computer programs don't, good writing will be more privileged than the clickbait Google has succumbed to: One refreshing discovery PR experts have made is that the bots tend to prioritize information from high-quality outlets.
Tyler Cowen also wrote in his Bloomberg column that "If you wish to achieve some kind of intellectual immortality, writing for the Als is probably your best chance.... Give the Als a sense not just of how you think, but how you feel — what upsets you, what you really treasure. Then future Al versions of you will come to life that much more, attracting more interest." Has AI changed the reasons we write? The Phi Beta Kappa magazine is left to consider the possibility that "power over a superintelligent beast and resurrection are nothing to sneeze at" — before offering another thought.

"The most depressing reason to write for AI is that unlike most humans, AIs still read. They read a lot. They read everything. Whereas, aided by an AI no more advanced than the TikTok algorithm, humans now hardly read anything at all..."

After the Python Software Foundation rejected a $1.5 million grant because it restricted DEI activity, "a flood of new donations followed," according to a new report. By Friday they'd raised over $157,000, including 295 new Supporting Members paying an annual $99 membership fee, says PSF executive director Deb Nicholson.

"It doesn't quite bridge the gap of $1.5 million, but it's incredibly impactful for us, both financially and in terms of feeling this strong groundswell of support from the community." Could that same security project still happen if new funding materializes? The PSF hasn't entirely given up. "The PSF is always looking for new opportunities to fund work benefiting the Python community," Nicholson told me in an email last week, adding pointedly that "we have received some helpful suggestions in response to our announcement that we will be pursuing." And even as things stand, the PSF sees itself as "always developing or implementing the latest technologies for protecting PyPI project maintainers and users from current threats," and it plans to continue with that commitment.
The Python Software Foundation was "astounded and deeply appreciative at the outpouring of solidarity in both words and actions," their executive director wrote in a new blog post this week, saying the show of support "reminds us of the community's strength."

But that post also acknowledges the reality that the Python Software Foundation's yearly revenue and assets (including contributions from major donors) "have declined, and costs have increased,..." Historically, PyCon US has been a source of revenue for the PSF, enabling us to fund programs like our currently paused Grants Program... Unfortunately, PyCon US has run at a loss for three years — and not from a lack of effort from our staff and volunteers! Everyone has been working very hard to find areas where we can trim costs, but even with those efforts, inflation continues to surge, and changing U.S. and economic conditions have reduced our attendance... Because we have so few expense categories (the vast majority of our spending goes to running PyCon US, the Grants Program, and our small 13-member staff), we have limited "levers to pull" when it comes to budgeting and long-term sustainability...
While Python usage continues to surge, "corporate investment back into the language and the community has declined overall. The PSF has longstanding sponsors and partners that we are ever grateful for, but signing on new corporate sponsors has slowed." (They're asking employees at Python-using companies to encourage sponsorships.) We have been seeking out alternate revenue channels to diversify our income, with some success and some challenges. PyPI Organizations offers paid features to companies (PyPI features are always free to community groups) and has begun bringing in monthly income. We've also been seeking out grant opportunities where we find good fits with our mission.... We currently have more than six months of runway (as opposed to our preferred 12 months+ of runway), so the PSF is not at immediate risk of having to make more dramatic changes, but we are on track to face difficult decisions if the situation doesn't shift in the next year.

Based on all of this, the PSF has been making changes and working on multiple fronts to combat losses and work to ensure financial sustainability, in order to continue protecting and serving the community in the long term. Some of these changes and efforts include:

— Pursuing new sponsors, specifically in the AI industry and the security sector
— Increasing sponsorship package pricing to match inflation
— Making adjustments to reduce PyCon US expenses
— Pursuing funding opportunities in the US and Europe
— Working with other organizations to raise awareness
— Strategic planning, to ensure we are maximizing our impact for the community while cultivating mission-aligned revenue channels

The PSF's end-of-year fundraiser effort is usually run by staff based on their capacity, but this year we have assembled a fundraising team that includes Board members to put some more "oomph" behind the campaign. We'll be doing our regular fundraising activities; we'll also be creating a unique webpage, piloting temporary and VERY visible pop-ups to python.org and PyPI.org, and telling more stories from our Grants Program recipients...

Keep your eyes on the PSF Blog, the PSF category on Discuss, and our social media accounts for updates and information as we kick off the fundraiser this month. Your boosts of our posts and your personal shares of "why I support the PSF" stories will make all the difference in our end-of-year fundraiser. If this post has you all fired up to personally support the future of Python and the PSF right now, we always welcome new PSF Supporting Members and donations.

The new series from Breaking Bad creator Vince Gilligan, Pluribus, was emphatically made by humans, not AI, reports TechCrunch: If you watched all the way to the end of the new Apple TV show "Pluribus," you may have noticed an unusual disclaimer in the credits: "This show was made by humans." That terse message — placed right below a note that "animal wranglers were on set to ensure animal safety" — could potentially provide a model for other filmmakers seeking to highlight that their work was made without the use of generative AI.
In fact, yesterday the former X-Files writer told Variety "I hate AI. AI is the world's most expensive and energy-intensive plagiarism machine...." He goes on, about how AI-generated content is "like a cow chewing its cud — an endlessly regurgitated loop of nonsense," and how the U.S. will fail to regulate the technology because of an arms race with China. He works himself up until he's laughing again, proclaiming: "Thank you, Silicon Valley! Yet again, you've fucked up the world."
He also says "there's a very high possibility that this is all a bunch of horseshit," according to the article. "It's basically a bunch of centibillionaires whose greatest life goal is to become the world's first trillionaires. I think they're selling a bag of vapor."

And earlier this week he told Polygon that he hasn't used ChatGPT "because, as of yet, no one has held a shotgun to my head and made me do it." (Adding "I will never use it.")

Time magazine called Thursday's two-episode premiere "bonkers." Though ironically, that premiere hit its own dystopian glitch. "After months of buildup and an omnipresent advertising campaign, Apple's much-anticipated new show Pluribus made its debut..." reports Macworld. "And the service promptly suffered a major outage across the U.S. and Canada." As reported by Bloomberg and others, users started to report that the service had crashed at around 10:30 p.m. ET, shortly after Apple made the first two episodes of the show available to stream. There were almost 13,000 reports on Downdetector before Apple acknowledged the problem on its System Status page. Reports say the outage was brief, lasting less than an hour...

[T]here remains a Resolved Outage note on Apple TV (simply saying "Some users were affected; users experienced a problem with Apple TV" between 10:29 and 11.38 p.m.), as well as on Apple Music and Apple Arcade, which also went down at the same time. Social media reports indicated that the outage was widespread.

An anonymous reader quotes a report from the New York Times: Facebook Dating, which debuted in 2019, has become a surprise hit for the company. It lets people create a dating profile free in the app, where they can swipe and match with other eligible singles. It has more than 21 million daily users, quietly making it one of the most popular online dating services. Hinge, a leading dating app in the United States, has around 15 million users. "Underlying it all is that there are real people on Facebook," Tom Alison, the head of Facebook, said in an interview. "You can see who they are, you can see how you're connected to them, and if you have mutual friends, we make it easy to see where you have mutual interests."

Facebook Dating's popularity is a sign of how Facebook has been reinventing itself. One of the early social networks, its main social feed has become less popular over time than younger apps like Instagram and TikTok. But along with Facebook Marketplace, where people look for deals on things like couches and used cars, Facebook Dating shows how an older social network can remain relevant. "When you look at Gen Z usage on Facebook, they aren't using the social media feed," said Mike Proulx, a research director at Forrester VP, a research firm. "What's bringing them back to the platform is Marketplace, Messenger, Dating."

An anonymous reader quotes a report from the Associated Press: Denmark's government on Friday announced an agreement to ban access to social media for anyone under 15, ratcheting up pressure on Big Tech platforms as concerns grow that kids are getting too swept up in a digitized world of harmful content and commercial interests. The move would give some parents -- after a specific assessment -- the right to let their children access social media from age 13.

It wasn't immediately clear how such a ban would be enforced: Many tech platforms already restrict pre-teens from signing up. Officials and experts say such restrictions don't always work. Such a measure would be among the most sweeping steps yet by a European Union government to limit use of social media among teens and younger children, which has drawn concerns in many parts of an increasingly online world. "We've given the tech giants so many chances to stand up and to do something about what is happening on their platforms. They haven't done it," said Caroline Stage, Denmark's minister for digital affairs. "So now we will take over the steering wheel and make sure that our children's futures are safe."

"I can assure you that Denmark will hurry, but we won't do it too quickly because we need to make sure that the regulation is right and that there is no loopholes for the tech giants to go through," Stage said.

Rockstar Games has announced that Grand Theft Auto VI won't launch in May of next year as planned. Kotaku: The highly anticipated sequel is now set to arrive in November 2026. On Thursday, Rockstar announced on social media that the long-awaited next entry in its open-world blockbuster franchise would need a bit more time, delaying the game an additional six months from May to November 19, 2026. Rockstar said "these extra months will allow us to finish the game with the level of polish you have come to expect and deserve."

In a recent article published in the New York Times, author Casey Michael Henry argues that today's tech industry keeps borrowing dystopian sci-fi aesthetics and ideas -- often the parts that were meant as warnings -- and repackages them as exciting products without recognizing that they were originally cautionary tales to avoid. "The tech industry is delivering on some of the futuristic notions of late-20th-century science fiction," writes Henry. "Yet it seems, at times, bizarrely unaware that many of those notions were meant to be dystopian or satirical -- dismal visions of where our worst and dumbest habits could lead us." Here's an excerpt from the report: You worry that someone in today's tech world might watch "Gattaca" -- a film that features a eugenicist future in which people with ordinary DNA are relegated to menial jobs -- and see it as an inspirational launching point for a collaboration between 23andMe and a charter school. The material on Sora, for instance, can feel oddly similar to the jokes about crass entertainment embedded in dystopian films and postmodern novels. In the movie "Idiocracy," America loved a show called "Ow! My Balls!" in which a man is hit in the testicles in increasingly florid ways. "Robocop" imagined a show about a goggle-eyed pervert with an inane catchphrase. "The Running Man" had a game show in which contestants desperately collected dollar bills and climbed a rope to escape ravenous dogs. That Sora could be prompted to imagine a game show in which Michel Foucault chokeslams Ronald Reagan, or Prince battles an anaconda, doesn't feel new; it feels like a gag from a 1990s writer or a film about social decay.

The echoes aren't all accidental. Modern design has been influenced by our old techno-dystopias -- particularly the cyberpunk variety, with its neon-noir gloss and "high tech, low life" allure. From William Gibson novels to films like "The Matrix," the culture has taken in countless ruined cityscapes, all-controlling megacorporations, high-tech body modifications, V.R.-induced illnesses, deceptive A.I. paramours, mechanical assassins and leather-clad hacker antiheroes, navigating a dissociative cyberspace with savvily repurposed junk-tech. This was not a world many people wanted to live in, but its style and ethos seem to reverberate in the tech industry's boldest visions of the future.

American manufacturing's postwar boom from the 1940s through the 1970s resulted from conditions that cannot be recreated, a story on WSJ argues. Global competitors had been destroyed by war. Energy was cheap. Unions could demand concessions without fearing job losses to foreign rivals.

Strikes were frequent in steel, auto, trucking, rubber and coal mining. That relentless pressure from an organized working class raised real wages and created fringe benefits including health insurance and retirement pay. Government support for unions kept executive salaries at just a few times median income. Stock buybacks were illegal or frowned upon. President Eisenhower declared at the 1956 dedication of the AFL-CIO national headquarters that "Labor is the United States."

The system began unraveling by the mid-1960s. The Vietnam War drained federal coffers. Inflation accelerated as government deficits exploded. Nixon abandoned the gold standard in 1971, unleashing currency volatility. The 1973 OPEC oil embargo quadrupled energy prices. Foreign competition returned from Japan, Korea and West Germany. American companies carried mounting legacy costs like pensions that discouraged investment in upgrades and research.

Milton Friedman declared in a 1970 New York Times essay that the social responsibility of business is to increase its profits. Clinton signed NAFTA in 1993 and championed the World Trade Organization in 1995. Bethlehem Steel employed around 150,000 people in the mid-1950s. The company filed for bankruptcy in 2001. Its former hometown plant in Bethlehem, Pa., is now a casino.

A new Activate Consulting report reveals that 43% of Gen Z now prefer YouTube and TikTok over traditional TV or paid streaming. With global media revenues surging and traditional TV viewership collapsing, the average person now spends over 13 hours a day consuming content across platforms, effectively living a "32-hour day" through multitasking. Variety reports: Per the same survey, the popularity of "microdramas" -- one of the latest trends on those platforms, consisting of 1-2 minute scripted episodes of an ongoing storyline -- has been increasing at a fast rate with 28 million U.S. adults (52% aged 18-34) reportedly watching that new form of content.

Additional findings include projections for global internet and media revenue to increase by $388 billion by 2029, while average daily time spent streaming video will climb to 4 hours and 8 minutes as time spent watching traditional TV is set to collapse to just 1 hour and 17 minutes. Activate estimates that, as a result, streaming revenues (from ads and subscriptions) will grow 18-19% annually while traditional TV revenues will fall 4-6% year to year.

President Trump has re-nominated tech billionaire and private astronaut Jared Isaacman to lead NASA, reversing his earlier withdrawal over concerns about Isaacman's political affiliations. CBS News reports: Mr. Trump nominated Isaacman to the Senate-confirmed post last year, but announced in late May he had decided to withdraw Isaacman after a "thorough review" of his "prior associations." Weeks after the withdrawal, the president went further in expressing his concerns about Isaacman's credentials. At the time, Mr. Trump acknowledged that he thought Isaacman "was very good," but had been "surprised to learn" that Isaacman was a "blue-blooded Democrat, who had never contributed to a Republican before." [...]

Mr. Trump made no mention of his previous decision to nominate and then withdraw Isaacman in his Tuesday evening announcement of the re-nomination on his Truth Social platform. "This evening, I am pleased to nominate Jared Isaacman, an accomplished business leader, philanthropist, pilot, and astronaut, as Administrator of NASA," Trump posted. "Jared's passion for Space, astronaut experience, and dedication to pushing the boundaries of exploration, unlocking the mysteries of the universe, and advancing the new Space economy, make him ideally suited to lead NASA into a bold new Era."

An anonymous reader quotes a report from Ars Technica: Although Google DeepMind's Weather Lab only started releasing cyclone track forecasts in June, the company's AI forecasting service performed exceptionally well. By contrast, the Global Forecast System model, operated by the US National Weather Service and is based on traditional physics and runs on powerful supercomputers, performed abysmally. The official data comparing forecast model performance will not be published by the National Hurricane Center for a few months. However, Brian McNoldy, a senior researcher at the University of Miami, has already done some preliminary number crunching.

The results are stunning: A little help in reading the graphic is in order. This chart sums up the track forecast accuracy for all 13 named storms in the Atlantic Basin this season, measuring the mean position error at various hours in the forecast, from 0 to 120 hours (five days). On this chart, the lower a line is, the better a model has performed. The dotted black line shows the average forecast error for official forecasts from the 2022 to 2024 seasons. What jumps out is that the United States' premier global model, the GFS (denoted here as AVNI), is by far the worst-performing model. Meanwhile, at the bottom of the chart, in maroon, is the Google DeepMind model (GDMI), performing the best at nearly all forecast hours.

The difference in errors between the US GFS model and Google's DeepMind is remarkable. At five days, the Google forecast had an error of 165 nautical miles compared to 360 nautical miles for the GFS model, more than twice as bad. This is the kind of error that causes forecasters to completely disregard one model in favor of another. But there's more. Google's model was so good that it regularly beat the official forecast from the National Hurricane Center (OFCL), which is produced by human experts looking at a broad array of model data. The AI-based model also beat highly regarded "consensus models," including the TVCN and HCCA products. For more information on various models and their designations, see here.

An anonymous reader shares a report: Chinese President Xi Jinping joked about security backdoors while presenting a pair of Xiaomi smartphones to his South Korean counterpart, a rare moment of spontaneous levity captured during a week of tense trade negotiations with Donald Trump.

Xi, in South Korea to meet Trump on the sidelines of the Asia-Pacific Economic Cooperation summit, presented the pair of devices to Korean President Lee Jae Myung. In a video circulated on social media, Lee asked: "Is the line secure?" Xi chuckled, pointed at the gadgets and replied through an interpreter: "You can check if there's a backdoor." The two leaders burst into laughter.

The exchange was striking because the issue of security and alleged espionage is a sensitive one and a major thorn in US-Chinese relations. American lawmakers have raised the possibility that tech companies such as Huawei build backdoors -- ways to gain access to sensitive data -- into their equipment or services, something the firms have repeatedly denied.

OpenAI "hasn't yet turned a profit," notes Wall Street Journal business columnist Tim Higgins. "Its annual revenue is 2% of Amazon.com's sales.

"Its future is uncertain beyond the hope of ushering in a godlike artificial intelligence that might help cure cancer and transform work and life as we know it. Still, it is brimming with hope and excitement.

"But what if OpenAI fails?" There's real concern that through many complicated and murky tech deals aimed at bolstering OpenAI's finances, the startup has become too big to fail. Or, put another way, if the hype and hope around Chief Executive Sam Altman's vision of the AI future fails to materialize, it could create systemic risk to the part of the U.S. economy likely keeping us out of recession.

That's rarefied air, especially for a startup. Few worried about what would happen if Pets.com failed in the dot-com boom. We saw in 2008-09 with the bank rescues and the Chrysler and General Motors bailouts what happens in the U.S. when certain companies become too big to fail...

[A]fter a lengthy effort to reorganize itself, OpenAI announced moves that will allow it to have a simpler corporate structure. This will help it to raise money from private investors and, presumably, become a publicly traded company one day. Already, some are talking about how OpenAI might be the first trillion-dollar initial public offering... Nobody is saying OpenAI is dabbling in anything like liar loans or subprime mortgages. But the startup is engaging in complex deals with the key tech-industry pillars, the sorts of companies making the guts of the AI computing revolution, such as chips and Ethernet cables. Those companies, including Nvidia and Oracle, are partnering with OpenAI, which in turn is committing to make big purchases in coming years as part of its growth ambitions.

Supporters would argue it is just savvy dealmaking. A company like Nvidia, for example, is putting money into a market-making startup while OpenAI is using the lofty value of its private equity to acquire physical assets... They're rooting for OpenAI as a once-in-a-generational chance to unseat the winners of the last tech cycles. After all, for some, OpenAI is the next Apple, Facebook, Google and Tesla wrapped up in one. It is akin to a company with limitless potential to disrupt the smartphone market, create its own social-media network, replace the search engine, usher in a robot future and reshape nearly every business and industry.... To others, however, OpenAI is something akin to tulip mania, the harbinger of the Great Depression, or the next dot-com bubble. Or worse, they see, a jobs killer and mad scientist intent on making Frankenstein.

But that's counting on OpenAI's success.

Slashdot reader joshuark shares this report from SFGate: The mystery object that struck a plane at 36,000 feet is likely not space debris, as some speculated, but rather a Silicon Valley test project gone wrong...

WindBorne Systems, a Palo Alto startup that uses atmospheric balloons to collect weather data for AI-based forecast models,has come forward to say that they believe they may be responsible for the object that hit the windshield... "At 6am PT, we sent our preliminary investigation to both NTSB and FAA, and are working with both of them to investigate further," [WindBorne's CEO John Dean posted on social media...] WindBorne said the company has launched more than 4,000 balloons and that it coordinates with the Federal Aviation Administration for every launch.
WindBorne "has conducted more than 4,000 launches," the company said in a statement, noting that they've always coordinated those launched with America's Federal Aviation Administration and filed aviation alerts for every launched balloon. Plus "The system is designed to be safe in the event of a midair collision... Our balloon is 2.4 pounds at launch and gets lighter throughout flight." We are working closely with the FAA on this matter. We immediately rolled out changes to minimize time spent between 30,000 and 40,000 feet. These changes are already live with immediate effect. Additionally, we are further accelerating our plans to use live flight data to autonomously avoid planes, even if the planes are at a non-standard altitude. We are also actively working on new hardware designs to further reduce impact force magnitude and concentration.

Longtime Slashdot reader AmiMoJo shares a report from the Financial Times: Solar power developers want to cover an area larger than Washington, DC, with silicon panels and batteries, converting sunlight into electricity that will power air conditioners in sweltering Las Vegas along with millions of other homes and businesses. But earlier this month, bureaucrats in charge of federal lands scrapped collective approval for the Esmeralda 7 projects, in what campaigners fear is part of an attack on renewable energy under President Donald Trump. "We will not approve wind or farmer destroying [sic] Solar," he posted on his Truth Social platform in August. Developers will need to reapply individually, slowing progress.

Thousands of miles away on the other side of the Pacific Ocean, it is a different story. China has laid solar panels across an area the size of Chicago high up on the Tibetan Plateau, where the thin air helps more sunlight get through. The Talatan Solar Park is part of China's push to double its solar and wind generation capacity over the coming decade. "Green and low-carbon transition is the trend of our time," President Xi Jinping told delegates at a UN summit in New York last month. China's vast production of solar panels and batteries has also pushed down the prices of renewables hardware for everyone else, meaning it has "become very difficult to make any other choice in some places," according to Heymi Bahar, senior analyst at the International Energy Agency. [...]

More broadly, the US's focus on fossil fuels and pullback of support for clean energy further cedes influence over the future global energy system to China. The US is trying to tie its trading partners into fossil fuels, pressing the EU to buy $750 billion of American oil, natural gas, and nuclear technologies during his presidency as part of a trade deal, scuppering an initiative to begin decarbonizing world shipping and pressuring others to reduce their reliance on Chinese technology. But the collapsing cost of solar panels in particular has spoken for itself in many parts of the world. Experts caution that the US's attacks on renewables could cause lasting damage to its competitiveness against China, even if an administration more favorable to renewables were to follow Trump's.

Bluesky has surpassed 40 million users and is launching a "dislikes" beta to improve its personalization algorithms and reduce toxic content. TechCrunch reports: With the "dislikes" beta rolling out soon, Bluesky will take into account the new signal to improve user personalization. As users "dislike" posts, the system will learn what sort of content they want to see less of. This will help to inform more than just how content is ranked in feeds, but also reply rankings.

The company explained the changes are designed to make Bluesky a place for more "fun, genuine, and respectful exchanges" -- an edict that follows a month of unrest on the platform as some users again criticized the platform over its moderation decisions. While Bluesky is designed as a decentralized network where users run their own moderation, some subset of Bluesky users want the platform itself to ban bad actors and controversial figures instead of leaving it up to the users to block them. Bluesky, however, wants to focus more on the tools it provides users to control their own experience.

Snowflake filed an 8-K with the Securities and Exchange Commission earlier this week after its chief revenue officer gave financial projections in a TikTok video. Mike Gannon told an influencer outside the New York Stock Exchange that the data-storage company would exit the year with just over $4.5 billion in revenue and reach $10 billion in a couple of years.

The filing stated that Gannon is not authorized to disclose financial information on behalf of the company and that investors should not rely on his statements. Snowflake reaffirmed its August guidance of $.395 billion for fiscal year 2026. The video appeared on an account called theschoolofhardknockz and drew more than 555,000 views on TikTok. Gannon told the interviewer he watches the videos all the time.

Meta CEO Mark Zuckerberg is getting ready to dump even more AI-generated posts into your social feeds. From a report: During an earnings call on Wednesday, Zuckerberg said the company will "add yet another huge corpus of content" to its recommendations system as AI "makes it easier to create and remix" work that gets shared online.

"Social media has gone through two eras so far," Zuckerberg said. "First was when all content was from friends, family, and accounts that you followed directly. The second was when we added all of the Creator content." Though Zuckerberg stops short of calling AI the third era of social media, it's clear that the technology will be heavily involved in what comes next.

Zuckerberg said that recommendation systems that "deeply understand" AI-generated posts and "show you the right content" will become "increasingly valuable." The company has already begun embedding AI tools across its apps and is now experimenting with dedicated AI social apps, too.

schwit1 shares a report from IOL: China has enacted a new law regulating social media influencers, requiring them to hold verified professional qualifications before posting content on sensitive topics such as medicine, law, education, and finance, IOL reported. The new law went into effect on Saturday. The regulation was introduced by the Cyberspace Administration of China (CAC) as part of its broader effort to curb misinformation online.

Under the new rules, influencers must prove their expertise through recognized degrees, certifications, or licenses before discussing regulated subjects. Major platforms such as Douyin (China's TikTok), Bilibili, and Weibo are now responsible for verifying influencer credentials and ensuring that content includes clear citations, disclaimers, and transparency about sources. A separate report notes that if influencers are caught talking about the "serious" topics, they will face a fine of up to 100,000 yuan ($14,000).