The internet's physical mass remains contested among scientists, with estimates ranging from a strawberry to something almost unimaginably small. In 2006, Harvard physicist Russell Seitz calculated the internet weighed roughly 50 grams based on server energy, a figure that would now equate to potato-weight given internet growth.

Christopher White, president of NEC Laboratories America, has dismissed this calculation as "just wrong." White suggests a more accurate method that accounts for the energy needed to encode all internet data in one place, yielding approximately 53 quadrillionths of a gram at room temperature. Alternatively, if the internet's projected 175 zettabytes of data were stored in DNA -- a storage medium scientists are actively exploring -- it would weigh 960,947 grams, equivalent to 10.6 American males. Though scientists debate measurement methods, White asserts the web's true complexity makes it "essentially unknowable."

Microsoft's AI chief Mustafa Suleyman says the company has deliberately chosen to build AI models "three or six months behind" cutting-edge developments, citing cost savings and more focused implementation. "It's cheaper to give a specific answer once you've waited for the first three or six months for the frontier to go first. We call that off-frontier," Suleyman told CNBC.

"That's actually our strategy, is to really play a very tight second, given the capital-intensiveness of these models." Microsoft owns substantial Nvidia GPU capacity but sees no need to develop "the absolute frontier, the best model in the world first," as it would be "very, very expensive" and create unnecessary duplication, Suleyman said.

Despite its $13.75 billion investment in OpenAI, Microsoft added the startup to its list of competitors in July 2024. OpenAI subsequently announced a partnership with Oracle on its $500 billion Stargate project, departing from exclusive reliance on Microsoft's Azure cloud. "Look, it's absolutely mission-critical that long-term, we are able to do AI self-sufficiently at Microsoft," Suleyman said, while stressing the partnership with OpenAI would continue "until 2030 at least."

"Gen Z is rediscovering Tumblr — a chaotic, cozy corner of the internet untouched by algorithmic gloss and influencer overload..." writes Fast Company, "embracing the platform as a refuge from an internet saturated with influencers and algorithm fatigue." Thanks to Gen Z, the site has found new life. As of 2025, Gen Z makes up 50% of Tumblr's active monthly users and accounts for 60% of new sign-ups, according to data shared with Business Insider's Amanda Hoover, who recently reported on the platform's resurgence. User numbers spiked in January during the near-ban of TikTok and jumped again last year when Brazil temporarily banned X. In response, Tumblr users launched dedicated communities to archive and share their favorite TikToks...

To keep up with the momentum, Tumblr introduced Reddit-style Communities in December, letting users connect over shared interests like photography and video games. In January, it debuted Tumblr TV — a TikTok-like feature that serves as both a GIF search engine and a short-form video platform. But perhaps Tumblr's greatest strength is that it isn't TikTok or Facebook. Currently the 10th most popular social platform in the U.S., according to analytics firm Similarweb, Tumblr is dwarfed by giants like Instagram and X. For its users, though, that's part of the appeal.
First launched in 2007, Tumblr peaked at over 100 million users in 2014, according to the article. Trends like Occupy Wall Street had been born on Tumblr, notes Business Insider, calling the blogging platform "Gen Z's safe space... as the rest of the social internet has become increasingly commodified, polarized, and dominated by lifestyle influencers." Tumblr was also "one of the most hyped startups in the world before fading into obsolescence — bought by Yahoo for $1.1 billion in 2013... then acquired by Verizon, and later offloaded for fractions of pennies on the dollar in a distressed sale.

"That same Tumblr, a relic of many millennials' formative years, has been having a moment among Gen Z..." "Gen Z has this romanticism of the early-2000s internet," says Amanda Brennan, an internet librarian who worked at Tumblr for seven years, leaving her role as head of content in 2021... Part of the reason young people are hanging out on old social platforms is that there's nowhere new to go. The tech industry is evolving at a slower pace than it was in the 2000s, and there's less room for disruption. Big Tech has a stranglehold on how we socialize. That leaves Gen Z to pick up the scraps left by the early online millennials and attempt to craft them into something relevant. They love Pinterest (founded in 2010) and Snapchat (2011), and they're trying out digital point-and-shoot cameras and flip phones for an early-2000s aesthetic — and learning the valuable lesson that sometimes we look better when blurrier.

More Gen Zers and millennials are signing up for Yahoo. Napster, surprising many people with its continued existence, just sold for $207 million. The trend is fueled by nostalgia for Y2K aesthetics and a longing for a time when people could make mistakes on the internet and move past them. The pandemic also brought more Gen Z users to Tumblr...

And Tumblr still works much like an older internet, where people have more control over what they see and rely less on algorithms. "You curate your own stuff; it takes a little bit of work to put everything in place, but when it's working, you see the content you want to see," Fjodor Everaerts, a 26-year-old in Belgium who has made some 250,000 posts since he joined Tumblr when he was 14... Under Automattic, Tumblr is finally in the home that serves it, [says Ari Levine, the head of brand partnerships at Tumblr]. "We've had ups and downs along the way, but we're in the most interesting position and place that we've been in 18 years," he says... And following media companies (including Business Insider) and social platforms like Reddit, Automattic in 2024 was making a deal with OpenAI and Midjourney to allow the systems to train on Tumblr posts.

"The social internet is fractured," the article argues. ("Millennials are running Reddit. Gen Xers and Baby Boomers have a home on Facebook. Bluesky, one of the new X alternatives, has a tangible elder-millennial/Gen X vibe. Gen Zers have created social apps like BeReal and the Myspace-inspired Noplace, but they've so far generated more hype than influence....")

But in a world where megaplatforms "flatten our online experiences and reward content that fits a mold," the article suggests, "smaller communities can enrich them."

It's "a milestone for Meta AI and for open source," Mark Zuckerberg said this weekend. "For the first time, the best small, mid-size, and potentially soon frontier [large-language] models will be open source."

Zuckerberg anounced four new Llama LLMs in a video posted on Instagram and Facebook — two dropping this weekend, with another two on the way. "Our goal is to build the world's leading AI, open source it, and make it universally accessible so that everyone in the world benefits."

Zuckerberg's announcement: I've said for a while that I think open source AI is going to become the leading models. And with Llama 4 this is starting to happen.

- The first model is Llama 4 Scout. It is extremely fast, natively multi-modal. It has an industry-leading "nearly infinite" 10M-token context length, and is designed to run on a single GPU. [Meta's blog post says it fits on an NVIDIA H100]. It is 17 billion parameters by 16 experts, and it is by far the highest performing small model in its class.

- The second model is Llama 4 Maverick — the workhorse. It beats GPT-4o and Gemini Flash 2 on all benchmarks. It is smaller and more efficient than DeepSeek v3, but it is still comparable on text, plus it is natively multi-modal. This one is 17B parameters x 128 experts, and it is designed to run on a single host for easy inference.

This thing is a beast.
Zuck promised more news next month on "Llama 4 Reasoning" — but the fourth model will be called Llama 4 Behemoth. "This thing is massive. More than 2 trillion parameters." (A blog post from Meta AI says it also has a 288 billion active parameter model, outperforms GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro on STEM benchmarks, and will "serve as a teacher for our new models.")

"I'm not aware of anyone training a larger model out there," Zuckberg says in his video, calling Behemoth "already the highest performing base model in the world, and it is not even done training yet."

"If you want to try Llama 4, you can use Meta AI in WhatsApp, Messenger, or Instagram Direct," Zuckberg said in his video, "or you can go to our web site at meta.ai." The Scout and Maverick models can be downloaded from llama.com and Hugging Face.

"We continue to believe that openness drives innovation," Meta AI says in their blog post, "and is good for developers, good for Meta, and good for the world." Their blog post declares it's "The beginning of a new era of natively multimodal AI innovation," calling Scout and Maverick "the best choices for adding next-generation intelligence." This is just the beginning for the Llama 4 collection. We believe that the most intelligent systems need to be capable of taking generalized actions, conversing naturally with humans, and working through challenging problems they haven't seen before. Giving Llama superpowers in these areas will lead to better products for people on our platforms and more opportunities for developers to innovate on the next big consumer and business use cases. We're continuing to research and prototype both models and products, and we'll share more about our vision at LlamaCon on April 29...

We also can't wait to see the incredible new experiences the community builds with our new Llama 4 models.
"The impressive part about Llama 4 Maverick is that with just 17B active parameters, it has scored an ELO score of 1,417 on the LMArena leaderboard," notes the tech news site Beebom. "This puts the Maverick model in the second spot, just below Gemini 2.5 Pro, and above Grok 3, GPT-4o, GPT-4.5, and more.

"It also achieves comparable results when compared to the latest DeepSeek V3 model on reasoning and coding tasks, and surprisingly, with just half the active parameters."

Slashdot reader zlives shared this report from BleepingComputer: Microsoft used its AI-powered Security Copilot to discover 20 previously unknown vulnerabilities in the GRUB2, U-Boot, and Barebox open-source bootloaders.

GRUB2 (GRand Unified Bootloader) is the default boot loader for most Linux distributions, including Ubuntu, while U-Boot and Barebox are commonly used in embedded and IoT devices. Microsoft discovered eleven vulnerabilities in GRUB2, including integer and buffer overflows in filesystem parsers, command flaws, and a side-channel in cryptographic comparison. Additionally, 9 buffer overflows in parsing SquashFS, EXT4, CramFS, JFFS2, and symlinks were discovered in U-Boot and Barebox, which require physical access to exploit.

The newly discovered flaws impact devices relying on UEFI Secure Boot, and if the right conditions are met, attackers can bypass security protections to execute arbitrary code on the device. While exploiting these flaws would likely need local access to devices, previous bootkit attacks like BlackLotus achieved this through malware infections.
Miccrosoft titled its blog post "Analyzing open-source bootloaders: Finding vulnerabilities faster with AI." (And they do note that Micxrosoft disclosed the discovered vulnerabilities to the GRUB2, U-boot, and Barebox maintainers and "worked with the GRUB2 maintainers to contribute fixes... GRUB2 maintainers released security updates on February 18, 2025, and both the U-boot and Barebox maintainers released updates on February 19, 2025.")

They add that performing their initial research, using Security Copilot "saved our team approximately a week's worth of time," Microsoft writes, "that would have otherwise been spent manually reviewing the content." Through a series of prompts, we identified and refined security issues, ultimately uncovering an exploitable integer overflow vulnerability. Copilot also assisted in finding similar patterns in other files, ensuring comprehensive coverage and validation of our findings...

As AI continues to emerge as a key tool in the cybersecurity community, Microsoft emphasizes the importance of vendors and researchers maintaining their focus on information sharing. This approach ensures that AI's advantages in rapid vulnerability discovery, remediation, and accelerated security operations can effectively counter malicious actors' attempts to use AI to scale common attack tactics, techniques, and procedures (TTPs).
This week Google also announced Sec-Gemini v1, "a new experimental AI model focused on advancing cybersecurity AI frontiers."

Wikipedia remembers Dave Täht as "an American network engineer, musician, lecturer, asteroid exploration advocate, and Internet activist. He was the chief executive officer of TekLibre."

But on X.com Eric S. Raymond called him "one of the unsung heroes of the Internet, and a close friend of mine who I will miss very badly." Dave, known on X as @mtaht because his birth name was Michael, was a true hacker of the old school who touched the lives of everybody using X. His work on mitigating bufferbloat improved practical TCP/IP performance tremendously, especially around video streaming and other applications requiring low latency. Without him, Netflix and similar services might still be plagued by glitches and stutters.
Also on X, legendary game developer John Carmack remembered that Täht "did a great service for online gamers with his long campaign against bufferbloat in routers and access points. There is a very good chance your packets flow through some code he wrote." (Carmack also says he and Täht "corresponded for years".)

Long-time Slashdot reader TheBracket remembers him as "the driving force behind ">the Bufferbloat project and a contributor to FQ-CoDel, and CAKE in the Linux kernel."

Dave spent years doing battle with Internet latency and bufferbloat, contributing to countless projects. In recent years, he's been working with Robert, Frank and myself at LibreQoS to provide CAKE at the ISP level, helping Starlink with their latency and bufferbloat, and assisting the OpenWrt project.
Eric Raymond remembered first meeting Täht in 2001 "near the peak of my Mr. Famous Guy years. Once, sometimes twice a year he'd come visit, carrying his guitar, and crash out in my basement for a week or so hacking on stuff. A lot of the central work on bufferbloat got done while I was figuratively looking over his shoulder..."

Raymond said Täht "lived for the work he did" and "bore deteriorating health stoically. While I know him he went blind in one eye and was diagnosed with multiple sclerosis." He barely let it slow him down. Despite constantly griping in later years about being burned out on programming, he kept not only doing excellent work but bringing good work out of others, assembling teams of amazing collaborators to tackle problems lesser men would have considered intractable... Dave should have been famous, and he should have been rich. If he had a cent for every dollar of value he generated in the world he probably could have bought the entire country of Nicaragua and had enough left over to finance a space program. He joked about wanting to do the latter, and I don't think he was actually joking...

In the invisible college of people who made the Internet run, he was among the best of us. He said I inspired him, but I often thought he was a better and more selfless man than me. Ave atque vale, Dave.
Weeks before his death Täht was still active on X.com, retweeting LWN's article about "The AI scraperbot scourge", an announcement from Texas Instruments, and even a Slashdot headline.

Täht was also Slashdot reader #603,670, submitting stories about network latency, leaving comments about AI, and making announcements about the Bufferbloat project.

Google has introduced Sec-Gemini v1, an experimental AI model built on its Gemini platform and tailored for cybersecurity. BetaNews reports: Sec-Gemini v1 is built on top of Gemini, but it's not just some repackaged chatbot. Actually, it has been tailored with security in mind, pulling in fresh data from sources like Google Threat Intelligence, the OSV vulnerability database, and Mandiant's threat reports. This gives it the ability to help with root cause analysis, threat identification, and vulnerability triage.

Google says the model performs better than others on two well-known benchmarks. On CTI-MCQ, which measures how well models understand threat intelligence, it scores at least 11 percent higher than competitors. On CTI-Root Cause Mapping, it edges out rivals by at least 10.5 percent. Benchmarks only tell part of the story, but those numbers suggest it's doing something right. Access is currently limited to select researchers and professionals for early testing. If you meet that criteria, you can request access here.

An anonymous reader shares a report: The gap between Windows 10 and Windows 11 continues to narrow, and Microsoft's flagship operating system is on track to finally surpass its predecessor by summer. The latest figures from Statcounter show the increase in Windows 11's market share accelerating, while Windows 10 declines.

Before Champagne corks start popping in Redmond, it is worth noting that Windows 10 still accounts for over half the market -- 54.2 percent -- and Windows 11 now accounts for 42.69 percent. However, if the current trends continue, Windows 10 should finally drop below the 50 percent mark next month and be surpassed by Windows 11 shortly after.

The cause is likely due to enterprises pushing the upgrade button rather than having to deal with extended support for Windows 10. Support for most Windows 10 versions ends on October 14, 2025, and Microsoft has shown no signs of deviating from its plan to retire the veteran operating system. [...] Whether users actually want the operating system is another matter. Windows 11 offers few compelling features that justify an upgrade and no killer application. The looming October 14 support cut-off date is likely to be the major driving factor behind the move to Windows 11.

Coreboot 25.03 has been released with support for 22 new motherboards and several other significant updates, including enhanced display handling, USB debugging, RISC-V support, and RAM initialization for older Intel platforms. Phoronix reports: Coreboot 25.03 delivers display handling improvements, a better USB debugging experience, CPU topology updates, various improvements to the open-source RAM initialization for aging Intel Haswell platforms, improved USB Type-C and Thunderbolt handling, various embedded controller (EC) improvements, better RISC-V architecture support, DDR5-7500 support, and many bug fixes across the sprawling Coreboot codebase. More details, including a full list of the supported boards, can be found here.

The M.T.A. has unveiled on Wednesday a revamped New York City subway map -- the first major redesign in nearly 50 years. As reported by the New York Times, the map draws inspiration from the modernist but controversial 1972 Unimark version, prioritizing clarity over geographic precision. It's also a part of a broader effort to refresh the system's image amid calls for infrastructure upgrades and political tensions over transit funding and congestion pricing. From the report: The updated version blends elements of the Unimark design with a successor known to some as the Tauranac map, after John Tauranac, a well-regarded New York mapmaker. That design was led by the firm Michael Hertz Associates. The new map is already being displayed on digital monitors, and will be posted in subway cars and platforms over the next several weeks, the M.T.A. said.

For Janno Lieber, the authority's chairman, the occasion was also an opportunity to tie his ambitions for the system to a critical moment in its past. "This is a linchpin moment, like in 1979, when we started to fix the subway system," Mr. Lieber said, referring to the year before the M.T.A. debuted its first capital plan to upgrade the aging transit system. As then, the system is in dire need of new trains and infrastructure improvements. So far, the State Legislature has yet to fully fund the latest $68 billion plan.

The Unimark subway map released in 1972. The latest iteration of New York City's map takes cues from the design. Two of the biggest alterations address the legibility of transfer points at some of the busiest hubs and the depiction of the system's accessibility features, said Shanifah Rieara, the authority's chief customer officer. Mr. Lieber declined to say how much the redesign cost, but said it was paid for "entirely in house," without a stand-alone budget.

Microsoft is testing a new Windows 11 feature that resizes taskbar icons dynamically like on macOS, with options to shrink icons when the taskbar is full or keep them small at all times. The Verge reports: If you're on the beta, under Taskbar settings - Taskbar behaviors, you can now select options under Show smaller taskbar buttons: Always, Never, or When taskbar is full. The third option will scale down icons so that they all can fit and not get hidden away in a second menu. The behavior appears to be similar to macOS where icons on the dock get smaller as more applications or minimized windows are added. Microsoft is also testing an update to the Start menu. "Now, it has a larger layout that includes the ability to hide the recommended recent apps and can show all of your apps on the page," reports The Verge.

Google's NotebookLM has added a new "Discover sources" feature that allows users to describe a topic and have the AI find and curate relevant sources from the web -- eliminating the need to upload documents manually. "When you tap the Discover button in NotebookLM, you can describe the topic you're interested in, and NotebookLM will bring back a curated collection of relevant sources from the web," says Google software engineer Adam Bignell. Click to add those sources to your notebook; "it's a fast and easy way to quickly grasp a new concept or gather essential reading on a topic." PCMag reports: You can still add your files. NotebookLM can ingest PDFs, websites, YouTube videos, audio files, Google Docs, or Google Slides and summarize, transcribe, narrate, or convert into FAQs and study guides. "Discover sources" helps incorporate information you may not have saved. [...] The imported sources stay within the notebook you created. You can read the entire original document, ask questions about it via chat, or apply other NotebookLM features to it.

Google started rolling out both features on Wednesday. It should be available for all users in about "a week or so." For those concerned about privacy, Google says, "NotebookLM does not use your personal data, including your source uploads, queries, and the responses from the model for training." There's also an "I'm Feeling Curious" button (a reference to its iconic "I'm feeling lucky" search button) that generates sources on a random topic you might find interesting.

An anonymous reader quotes a report from Techdirt: Walled Culture has been following closely Italy's poorly designed Piracy Shield system. Back in December we reported how copyright companies used their access to the Piracy Shield system to order Italian Internet service providers (ISPs) to block access to all of Google Drive for the entire country, and how malicious actors could similarly use that unchecked power to shut down critical national infrastructure. Since then, the Computer & Communications Industry Association (CCIA), an international, not-for-profit association representing computer, communications, and Internet industry firms, has added its voice to the chorus of disapproval. In a letter (PDF) to the European Commission, it warned about the dangers of the Piracy Shield system to the EU economy [...]. It also raised an important new issue: the fact that Italy brought in this extreme legislation without notifying the European Commission under the so-called "TRIS" procedure, which allows others to comment on possible problems [...].

As well as Italy's failure to notify the Commission about its new legislation in advance, the CCIA believes that: this anti-piracy mechanism is in breach of several other EU laws. That includes the Open Internet Regulation which prohibits ISPs to block or slow internet traffic unless required by a legal order. The block subsequent to the Piracy Shield also contradicts the Digital Services Act (DSA) in several aspects, notably Article 9 requiring certain elements to be included in the orders to act against illegal content. More broadly, the Piracy Shield is not aligned with the Charter of Fundamental Rights nor the Treaty on the Functioning of the EU -- as it hinders freedom of expression, freedom to provide internet services, the principle of proportionality, and the right to an effective remedy and a fair trial.

Far from taking these criticisms to heart, or acknowledging that Piracy Shield has failed to convert people to paying subscribers, the Italian government has decided to double down, and to make Piracy Shield even worse. Massimiliano Capitanio, Commissioner at AGCOM, the Italian Authority for Communications Guarantees, explained on LinkedIn how Piracy Shield was being extended in far-reaching ways (translation by Google Translate, original in Italian). [...] That is, Piracy Shield will apply to live content far beyond sports events, its original justification, and to streaming services. Even DNS and VPN providers will be required to block sites, a serious technical interference in the way the Internet operates, and a threat to people's privacy. Search engines, too, will be forced to de-index material. The only minor concession to ISPs is to unblock domain names and IP addresses that are no longer allegedly being used to disseminate unauthorized material. There are, of course, no concessions to ordinary Internet users affected by Piracy Shield blunders. In the future, Italy's Piracy Shield will add:
- 30-minute blackout orders not only for pirate sports events, but also for other live content;
- the extension of blackout orders to VPNs and public DNS providers;
- the obligation for search engines to de-index pirate sites;
- the procedures for unblocking domain names and IP addresses obscured by Piracy Shield that are no longer used to spread pirate content;
- the new procedure to combat piracy on the #linear and "on demand" television, for example to protect the #film and #serietv.

An anonymous reader quotes a report from Ars Technica, written by Ryan Whitwam: Researchers at DeepMind have ... released a new technical paper (PDF) that explains how to develop AGI safely, which you can download at your convenience. It contains a huge amount of detail, clocking in at 108 pages before references. While some in the AI field believe AGI is a pipe dream, the authors of the DeepMind paper project that it could happen by 2030. With that in mind, they aimed to understand the risks of a human-like synthetic intelligence, which they acknowledge could lead to "severe harm." This work has identified four possible types of AGI risk, along with suggestions on how we might ameliorate said risks. The DeepMind team, led by company co-founder Shane Legg, categorized the negative AGI outcomes as misuse, misalignment, mistakes, and structural risks.

The first possible issue, misuse, is fundamentally similar to current AI risks. However, because AGI will be more powerful by definition, the damage it could do is much greater. A ne'er-do-well with access to AGI could misuse the system to do harm, for example, by asking the system to identify and exploit zero-day vulnerabilities or create a designer virus that could be used as a bioweapon. DeepMind says companies developing AGI will have to conduct extensive testing and create robust post-training safety protocols. Essentially, AI guardrails on steroids. They also suggest devising a method to suppress dangerous capabilities entirely, sometimes called "unlearning," but it's unclear if this is possible without substantially limiting models. Misalignment is largely not something we have to worry about with generative AI as it currently exists. This type of AGI harm is envisioned as a rogue machine that has shaken off the limits imposed by its designers. Terminators, anyone? More specifically, the AI takes actions it knows the developer did not intend. DeepMind says its standard for misalignment here is more advanced than simple deception or scheming as seen in the current literature.

To avoid that, DeepMind suggests developers use techniques like amplified oversight, in which two copies of an AI check each other's output, to create robust systems that aren't likely to go rogue. If that fails, DeepMind suggests intensive stress testing and monitoring to watch for any hint that an AI might be turning against us. Keeping AGIs in virtual sandboxes with strict security and direct human oversight could help mitigate issues arising from misalignment. Basically, make sure there's an "off" switch. If, on the other hand, an AI didn't know that its output would be harmful and the human operator didn't intend for it to be, that's a mistake. We get plenty of those with current AI systems -- remember when Google said to put glue on pizza? The "glue" for AGI could be much stickier, though. DeepMind notes that militaries may deploy AGI due to "competitive pressure," but such systems could make serious mistakes as they will be tasked with much more elaborate functions than today's AI. The paper doesn't have a great solution for mitigating mistakes. It boils down to not letting AGI get too powerful in the first place. DeepMind calls for deploying slowly and limiting AGI authority. The study also suggests passing AGI commands through a "shield" system that ensures they are safe before implementation.

Lastly, there are structural risks, which DeepMind defines as the unintended but real consequences of multi-agent systems contributing to our already complex human existence. For example, AGI could create false information that is so believable that we no longer know who or what to trust. The paper also raises the possibility that AGI could accumulate more and more control over economic and political systems, perhaps by devising heavy-handed tariff schemes. Then one day, we look up and realize the machines are in charge instead of us. This category of risk is also the hardest to guard against because it would depend on how people, infrastructure, and institutions operate in the future.

An anonymous reader shares a report: Microsoft's business-oriented "Link" mini-desktop PC, which connects directly to the company's Windows 365 cloud service, is now available to buy for $349.99 in the US and in several other countries. Windows 365 Link, which was announced last November, is a device that is more easily manageable by IT departments than a typical computer while also reducing the needs of hands on support.

Despite promises of more efficient streaming, the AV1 video codec hasn't achieved widespread adoption seven years after its 2018 debut, even with backing from tech giants Netflix, Microsoft, Google, Amazon, and Meta. The Alliance for Open Media (AOMedia) claims AV1 is 30% more efficient than standards like HEVC, delivering higher-quality video at lower bandwidth while remaining royalty-free.

Major services including YouTube, Netflix, and Amazon Prime Video have embraced the technology, with Netflix encoding approximately 95% of its content using AV1. However, adoption faces significant hurdles. Many streaming platforms including Max, Peacock, and Paramount Plus haven't implemented AV1, partly due to hardware limitations. Devices require specific decoders to properly support AV1, though recent products from Apple, Nvidia, AMD, and Intel have begun including them. "In order to get its best features, you have to accept a much higher encoding complexity," Larry Pearlstein, associate professor at the College of New Jersey, told The Verge. "But there is also higher decoding complexity, and that is on the consumer end."

databasecowgirl writes: Commenting in The Times on the absurdity of Meta's copyright infringement claims, Caitlin Moran defines Schrodinger's economics: where a company is both [one of] the most valuable on the planet yet also too poor to pay for the materials it profits from.

Ultimately "move fast and break things" means breaking other people's things. Or, possibly worse, going full 'The Talented Mr Ripley': slowly feeling so entitled to the things you are enamored of that you end up clubbing out the brains of your beloved in a boat.

The European Space Agency's short film Space Debris: Is it a Crisis? highlights the growing danger of orbital clutter, warning that "70% of the 20,000 satellites ever launched remain in space today, orbiting alongside hundreds of millions of fragments left behind by collisions, explosions and intentional destruction." Inkl reports: The approximately eight-minute-long film "Space Debris: Is it a Crisis?" attempts to answer its conjecture with supportive statistics and orbital projections. [...] The film also mentions that the kind of Earth orbit matters when discussing whether we're in a space junk "crisis" -- though unfortunately, orbits at risk appear to be those with satellites that help with communication and navigation, as well as our fight against another primarily human-driven crisis: global warming. Still, the film emphasizes that solutions ought to be thought of carefully: "True sustainability is complex, and rushed solutions risk creating the problem of burden-shifting." You can watch the film on ESA's website.

Amazon and United Launch Alliance will launch 27 full-scale satellites on April 9 as part of Amazon's Project Kuiper, marking the company's first major step toward building a global satellite internet network to rival SpaceX's Starlink. GeekWire reports: ULA said the three-hour window for the Atlas V rocket's liftoff from Cape Canaveral Space Force Station's Space Launch Complex 41 in Florida is scheduled to open at noon ET (9 a.m. PT) that day. ULA is planning a live stream of launch coverage via its website starting about 20 minutes ahead of liftoff. Amazon said next week's mission -- known as Kuiper-1 or KA-1 (for Kuiper Atlas 1) -- will put 27 Kuiper satellites into orbit at an altitude of 280 miles (450 kilometers).

ULA launched two prototype Kuiper satellites into orbit for testing in October 2023, but KA-1 will mark Amazon's first full-scale launch of a batch of operational satellites designed to bring high-speed internet access to millions of people around the world. [...] According to Amazon, the Kuiper satellite design has gone through significant upgrades since the prototypes were launched in 2023. Amazon's primary manufacturing facility is in Kirkland, Wash., with some of the components produced at Project Kuiper's headquarters in nearby Redmond.

The mission profile for KA-1 calls for deploying the satellites safely in orbit and establishing ground-to-space contact. The satellites would then use their electric propulsion systems to settle into their assigned orbits at an altitude of 392 miles (630 kilometers), under the management of Project Kuiper's mission operations team in Redmond. Under the current terms of its license from the Federal Communications Commission, Amazon is due to launch 3,232 Kuiper satellites by 2029, with half of those satellites going into orbit by mid-2026.

An anonymous reader quotes a report from 404 Media: A "vibe coded" AI app developed by entrepreneur and Y Combinator group partner Tom Blomfield has generated recipes that gave users instruction on how to make "Cyanide Ice Cream," "Thick White Cum Soup," and "Uranium Bomb," using those actual substances as ingredients. Vibe coding, in case you are unfamiliar, is the new practice where people, some with limited coding experience, rapidly develop software with AI assisted coding tools without overthinking how efficient the code is as long as it's functional. This is how Blomfield said he made RecipeNinja.AI. [...] The recipe for Cyanide Ice Cream was still live on RecipeNinja.AI at the time of writing, as are recipes for Platypus Milk Cream Soup, Werewolf Cream Glazing, Cholera-Inspired Chocolate Cake, and other nonsense. Other recipes for things people shouldn't eat have been removed.

It also appears that Blomfield has introduced content moderation since users discovered they could generate dangerous or extremely stupid recipes. I wasn't able to generate recipes for asbestos cake, bullet tacos, or glue pizza. I was able to generate a recipe for "very dry tacos," which looks not very good but not dangerous. In a March 20 blog on his personal site, Blomfield explained that he's a startup founder turned investor, and while he has experience with PHP and Ruby on Rails, he has not written a line of code professionally since 2015. "In my day job at Y Combinator, I'm around founders who are building amazing stuff with AI every day and I kept hearing about the advances in tools like Lovable, Cursor and Windsurf," he wrote, referring to AI-assisted coding tools. "I love building stuff and I've always got a list of little apps I want to build if I had more free time."

After playing around with them, he wrote, he decided to build RecipeNinja.AI, which can take a prompt as simple as "Lasagna," and generate an image of the finished dish along with a step-by-stape recipe which can use ElevenLabs's AI generated voice to narrate the instruction so the user doesn't have to interact with a device with his tomato sauce-covered fingers. "I was pretty astonished that Windsurf managed to integrate both the OpenAI and Elevenlabs APIs without me doing very much at all," Blomfield wrote. "After we had a couple of problems with the open AI Ruby library, it quickly fell back to a raw ruby HTTP client implementation, but I honestly didn't care. As long as it worked, I didn't really mind if it used 20 lines of code or two lines of code." Having some kind of voice controlled recipe app sounds like a pretty good idea to me, and it's impressive that Blomfield was able to get something up and running so fast given his limited coding experience. But the problem is that he also allowed users to generate their own recipes with seemingly very few guardrails on what kind of recipes are and are not allowed, and that the site kept those results and showed them to other users.