Meta says in its Llama 4 release announcement that it's specifically addressing "left-leaning" political bias in its AI model, distinguishing this effort from traditional bias concerns around race, gender, and nationality that researchers have long documented. "Our goal is to remove bias from our AI models and to make sure that Llama can understand and articulate both sides of a contentious issue," the company said.

"All leading LLMs have had issues with bias -- specifically, they historically have leaned left," Meta stated, framing AI bias primarily as a political problem. The company claims Llama 4 is "dramatically more balanced" in handling sensitive topics and touts its lack of "strong political lean" compared to competitors.

Meta is partnering with Blumhouse to launch "Movie Mate" technology that encourages moviegoers to use their phones during theatrical screenings, beginning with an April 30 showing of "Megan" at Blumhouse's "Halfway to Halloween Film Festival." According to Variety, the system enables viewers to chat with a Megan-themed AI chatbot, answer trivia questions, and access behind-the-scenes information while watching the film in theaters.

An anonymous reader shares a report: Meta's latest whistleblower, Sarah Wynn-Williams, got a warm reception on Capitol Hill Wednesday, as the Careless People author who the company has fought to silence described the company's chief executive as someone willing to shapeshift into whatever gets him closest to power. The message was one that lawmakers on the Senate Judiciary subcommittee on crime and counterterrorism were very open to. Their responses underscore that amid CEO Mark Zuckerberg's latest pivot in cozying up to the right, his perception in Washington has not yet totally changed, even as he reportedly lobbies President Donald Trump to drop the government's antitrust case against the company.

"He's recently tried a reinvention in which he is now a great advocate of free speech, after being an advocate of censorship in China and in this country for years," subcommittee Chair Josh Hawley (R-MO) said, pointing to longtime conservative allegations that Meta has suppressed things like vaccine skepticism and the Hunter Biden laptop story. "Now that's all wiped away. Now he's on Joe Rogan and says that he is Mr. Free Speech, he is Mr. MAGA, he's a whole new man, and his company, they're a whole new company. Do you buy this latest reinvention of Mark Zuckerberg?"

"If he is such a fan of freedom of speech, why is he trying to silence me?" Wynn-Williams asked in response. Meta convinced an arbitrator to order her to stop making disparaging statements and halt further publishing and promotion of the book, which details Meta's alleged dealings with the Chinese government and claims of sexual harassment from a top executive.

The U.S. Army told the government it had a lot of success using AI to "process targets" during a recent deployment. It said that it had used AI systems to identify targets at a rate of 55 per day but could get that number up to 5,000 a day with "advanced artificial intelligence tools in the future." 404 Media: The line comes from a new report from the Government Accountability Office -- a nonpartisan watchdog group that investigates the federal government. The report is titled "Defense Command and Control" and is, in part, about the Pentagon's recent push to integrate AI systems into its workflow.

Across the government, and especially in the military, there has been a push to add or incorporate AI into various systems. The pitch here is that AI systems would help the Pentagon ID targets on the battlefield and allow those systems to help determine who lives and who dies. The Ukrainian and Israeli military are already using similar systems but the practice is fraught and controversial.

The battle for AI talent is so hot that Google would rather give some employees a paid one-year vacation than let them work for a competitor. From a report: Some Google DeepMind staff in the UK are subject to noncompete agreements that prevent them from working for a competitor for up to 12 months after they finish work at Google, according to four former employees with direct knowledge of the matter who asked to remain anonymous because they were not permitted to share these details with the press.

Aggressive noncompetes are one tool tech companies wield to retain a competitive edge in the AI wars, which show no sign of slowing down as companies launch new bleeding-edge models and products at a rapid clip. When an employee signs one, they agree not to work for a competing company for a certain period of time. Google DeepMind has put some employees with a noncompete on extended garden leave. These employees are still paid by DeepMind but no longer work for it for the duration of the noncompete agreement.

Several factors, including a DeepMind employee's seniority and how critical their work is to the company, determine the length of noncompete clauses, those people said. Two of the former staffers said six-month noncompetes are common among DeepMind employees, including for individual contributors working on Google's Gemini AI models. There have been cases where more senior researchers have received yearlong stipulations, they said.

Google is opening up its Google Maps Platform data so that cities, developers, and other business decision makers can more easily access information about things like infrastructure and traffic. The Verge: Google is integrating new datasets for Google Maps Platform directly into BigQuery, the tech giant's fully managed data analytics service, for the first time. This should make it easier for people to access data from Google Maps platform products, including Imagery Insights, Roads Management Insights, and Places Insights.

Samsung Electronics and Google Cloud are jointly entering the consumer robotics market with Ballie, a yellow, soccer-ball-shaped robot equipped with a video projector and powered by Google's Gemini AI models. First previewed in 2020, the long-delayed device will finally launch this summer in the US and South Korea. The mobile companion uses small wheels to navigate homes autonomously and integrates with Samsung's SmartThings platform to control smart home devices.

Running on Samsung's Tizen operating system, Ballie can manage calendars, answer questions, handle phone calls, and project video content from services including YouTube and Netflix. Samsung EVP Jay Kim described it as a "completely new Ballie" compared to the 2020 version, with Google Cloud integration being the most significant change. The robot leverages Gemini for understanding commands, searching the web, and processing visual data for navigation, while using Samsung's AI models for accessing personal information.

Shopify CEO Tobi Lutke is changing his company's approach to hiring in the age of AI. Employees will be expected to prove why they "cannot get what they want done using AI" before asking for more headcount and resources, Lutke wrote in a memo to staffers that he posted to X. From a report: "What would this area look like if autonomous AI agents were already part of the team?" Lutke wrote in the memo, which was sent to employees late last month. "This question can lead to really fun discussions and projects." Lutke also said there's a "fundamental expectation" across Shopify that employees embrace AI in their daily work, saying it has been a "multiplier" of productivity for those who have used it.

"I've seen many of these people approach implausible tasks, ones we wouldn't even have chosen to tackle before, with reflexive and brilliant usage of AI to get 100X the work done," Lutke wrote. The company, which sells web-based software that helps online retailers manage sales and run their operations, will factor AI usage into performance reviews, he added.

Micron has informed US customers it will implement surcharges on memory modules and solid-state drives starting Wednesday to offset President Trump's new tariffs, according to Reuters. While semiconductors received exemptions in Trump's recent trade action, memory storage products didn't escape the new duties.

Micron, which manufactures primarily in Asian countries including China and Taiwan, had previously signaled during a March earnings call that tariff costs would be passed to customers.

Meta released two new Llama 4 models over the weekend -- Scout and Maverick -- with claims that Maverick outperforms GPT-4o and Gemini 2.0 Flash on benchmarks. Maverick quickly secured the number-two spot on LMArena, behind only Gemini 2.5 Pro.

Researchers have since discovered that Meta used an "experimental chat version" of Maverick for LMArena testing that was "optimized for conversationality" rather than the publicly available version.

In response, LMArena said "Meta's interpretation of our policy did not match what we expect from model providers" and announced policy updates to prevent similar issues.

In Delhi's Nehru Place and Mumbai's Lamington Road, technicians are creating functional laptops from salvaged parts of multiple discarded devices. These "Frankenstein" machines sell for approximately $110 USD -- a fraction of the $800 price tag for new models. Technicians extract usable components -- motherboards, capacitors, screens, and batteries -- from e-waste sourced locally and from countries like Dubai and China.

"Most people don't care about having the latest model; they just want something that works and won't break the bank," a technician told Verge. This repair ecosystem operates within a larger battle against tech giants pushing planned obsolescence through proprietary designs and restricted parts access. Many technicians source components from Seelampur, India's largest e-waste hub processing 30,000 tonnes daily, though workers there handle toxic materials with minimal protection. "India has always had a repair culture," says Satish Sinha of Toxics Link, "but companies are pushing planned obsolescence, making repairs harder and forcing people to buy new devices."

On Bluesky, the joke's on you if you don't get the joke. The social network has become a "refuge" for those fleeing X and Threads, but its growing pains include a serious case of humor-impairment. When Amy Brown jokingly posted she was "screaming, crying, and throwing up" about price differences between Ohio and California Walgreens, literal-minded users scolded her for exaggerating. Brown, a former Wendy's social media manager who got banned from X after impersonating Elon Musk, puts it simply: "We're both speaking English, but I'm speaking internet."

This clash stems from Bluesky's oddly mixed population: irony-steeped Twitter refugees mingling with earnest Facebook transplants and MSNBC viewers who took the plunge after seeing the platform mentioned on shows like Morning Joe. "It's riff collapse," says cartoonist Mattie Lubchansky, describing how her obviously absurd Oscar post triggered sincere movie recommendations.

An anonymous reader shares a report: Waymo is preparing to use data from its robotaxis, including video from interior cameras tied to rider identities, to train generative AI models, according to an unreleased version of its privacy policy found by researcher Jane Manchun Wong.

The draft language reveals Waymo may also share this data to personalize ads, raising fresh questions about how much of a rider's behavior inside autonomous vehicles could be repurposed for AI training and marketing. The privacy page states: "Waymo may share data to improve and analyze its functionality and to tailor products, services, ads, and offers to your interests. You can opt out of sharing your information with third parties, unless it's necessary to the functioning of the service."

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.