Alex Bores, a former Palantir employee and current Democratic House candidate in New York, is proposing an "AI dividend" that would send direct payments to Americans if AI drives major job losses. "At its core, the AI Dividend is simple: if AI dramatically increases productivity and concentrates wealth, the American people have a stake in those gains," a memo on the policy reads. Axios reports: The dividend would fund direct payments to Americans. It would also be invested into workforce training and education, as well as government capacity to "govern AI safely and fund independent oversight," per the plan memo.

"You don't take out fire insurance because you expect your house to burn down -- you have insurance in case something goes awry," Bores told Axios in an interview. "Here we have, for the first time, a technology where the makers of the technology are explicitly saying that their goal is to replace all human labor." "The fact that they've put it out there means government needs to take it seriously." [...]

The proposal would be funded through:
- A token tax, described in the memo as a "modest tax on AI consumption"
- Equity participation in frontier AI firms
- Changes to the tax code that would reduce incentives to invest in AI "when it leads to less work" "If [AI companies] they can support this plan, that would show that they actually believe in what they're putting out there," Bores said. "If they're not doing it, then I think it shows that they're really putting window dressing out there."

Further reading: Palantir Posts Bond Villain Manifesto On X

DeanonymizedCoward writes: Engadget reports that Palantir has posted to X a summary of CEO Alex Karp and Nicholas W. Zamiska's 2025 book, The Technological Republic, which reads like a utopian idealist doodled on a Bond villain's whiteboard. While the post makes some decent points, it also highlights the Big-AI attitude that the AI surveillance state is in fact a good thing, and strongly implies that the Good Guys need to do war crimes before the Bad Guys get around to it. "The ability of free and democratic societies to prevail requires something more than moral appeal," one of the 22 points states. "It requires hard power, and hard power in this century will be built on software."

The book is billed as "a passionate call for the West to wake up to our new reality," and other excerpts in the social media post include assertions such as: "Free email is not enough. The decadence of a culture or civilization, and indeed its ruling class, will be forgiven only if that culture is capable of delivering economic growth and security for the public"; "National service should be a universal duty"; "The postwar neutering of Germany and Japan must be undone"; and "Some cultures have produced vital advances; others remain dysfunctional and regressive."

The statement criticizes the West's resistance to "defining national cultures in the name of inclusivity," as well as the treatment of billionaires and the "ruthless exposure of the private lives of public figures."

An anonymous reader quotes a report from Bloomberg, written by writer Austin Carr: Allbirds is pivoting to artificial intelligence. The San Francisco brand, whose wool running shoes were once the sneaker du jour among the tech crowd, announced last week that it was expanding into AI computing infrastructure. The bizarre strategic shift was immediately greeted with a surprising frenzy on Wall Street, where shares of Allbirds soared 582% last Wednesday before dropping the next day. [...] Of course, the absurdity of Allbirds' situation echoed familiar Silicon Valley tropes -- from the endless startup pivots of the 2010s to the more recent boom-and-bust cycles of arbitrarily valued crypto coins. But it immediately reminded me of the marketing ploys of the dot-com crash. After all, some of the more iconic fails ended up being retailers such as Pets.com, Webvan, etc., riding the web wave with little to show for it beyond terrible margins.

One particular comparison from that period stands out as relevant to Allbirds: Zap.com. The holding company behind it, Zapata Corp., had a long and convoluted history, but was essentially selling fish-oil products by the time it decided to reinvent itself as an internet portal. It amassed a variety of web properties -- in media, e-commerce, gaming and so on -- and even once tried to acquire the search engine Excite. Spoiler alert: Zap flopped. Jen Heck, then a young employee at one of Zap's up-and-coming portfolio entities, remembers how quickly the hype of that web 1.0 turned to hell. As absurd as Zapata's pivot sounds today, it seemed feasible during the excitement of the internet revolution. "We went from like, 'Wow, this life thing is just so easy,' to it all ending so suddenly," Heck recalls. The ones who survived that tech bubble, she says, actually had differentiated products and the right creative thinkers building them -- and weren't just cynically jumping on the latest hot trend. "'Internet' was the magic word then, and 'AI' is the magic word now," Heck says.

An anonymous reader quotes a report from TechCrunch: The winning runner at a Beijing half-marathon for humanoid robots finished the race today in 50 minutes and 26 seconds -- significantly faster than the human world record of 57 minutes recently set by Jacob Kiplimo. [...] [T]he winning time is a massive improvement over last year's race, when the fastest robot finished in two hours and 40 minutes.

The Associated Press reports that this year's winner was built by Chinese smartphone maker Honor. It seems the winning robot wasn't actually the fastest, as a different Honor robot finished in 48 minutes and 19 seconds. But that one was remote controlled -- the 50:26 robot was autonomous and won due to weighted scoring. About 40% of participating robots competed autonomously, while the remaining 60% were remote controlled, according to Beijing's E-Town tech hub. Not all of them did as well as Honor's robots, with one robot falling at the starting line and another hitting a barrier.

There's been a few complaints about Amazon's drone delivery service. "The automated mailmen are dropping off packages from 10 feet in the air," reports the New York Post, "rendering the contents of each box susceptible to crashing and smashing."

One example? Tamara Hancock filmed a drone delivering a bottle of Torani flavoring syrup to her home in Arizona (as a test of how Amazon handled fragile items). It was delivered it in a plastic bottle — not glass — but the massive drone drops the drone from so high that the impact cracked the bottle's cap. (In the video Hancock opens her delivery to find leaked flavoring syrup "everywhere.")

The delivery was hard to film, Hancock says, because "If the drone sees me in the back yard, it will not drop, because it is worried about hurting humans or animals." The Post notes Amazon's "AI-charged fleet" of drones are "Outfitted with industry-leading 'sense and avoid' technology, the aerodynamic machines are equipped to drop off eligible items, weighing a maximum of five pounds, at designated areas in 60 minutes or less." The high-tech, however, apparently does not ensure gentle landings. Collisions, including a recent crash-and-burn into a Texas building, as well as several mid-flight malfunctions in rainy weather, have abounded since the drones' inaugural launch....

Tasha, a separate Amazon user, spotted the drone plunging a package near the paved driveway of a neighbor's yard. Unfortunately, its propellers caused other, previously delivered parcels to blow away, sending one into the street... In a statement to The Post, Amazon said it apologized for one of the "rare instances when products don't arrive as expected."
Amazon's drone fleet has been running since late 2024, the Post adds, and are now offering "ultra-fast" shipping in U.S. states including Arizona, Florida, Michigan, Kansas and Texas.

The machines do seem massive. I'm surprised neighbors aren't complaining about the noise...

"A trailer has been released for the first film to star an authorised generative AI version of a major Hollywood actor," writes The Guardian: Val Kilmer was cast in western As Deep As the Grave before his death in April 2025. Production delays meant he never shot any scenes, but the creative team worked with UK-based company Sonantic to create an AI speaking voice based on his old recordings. His estate and daughter Mercedes collaborated with the film-makers on the visual deepfake of the actor. Kilmer, who was diagnosed with throat cancer, was also assisted by technology for his cameo in 2022's Top Gun: Maverick...

Writer-director Coerte Voorhees confirmed that Kilmer is seen for around an hour of the film's running time... Voorhees has said that the production followed Sag-Aftra [union] guidelines, and that Kilmer's estate — which provided archival material for them to use — was compensated financially.
"Kilmer's likeness can be seen portraying Father Fintan, a Catholic priest and Native American spiritualist," adds The Hollywood Reporter. But the AV Club calls it "ghoulish puppet show time."

"Having your AI Val Kilmer puppet whisper 'Don't fear the dead, and don't fear me' in a movie trailer is a bold choice..." He is accompanied (per Variety) by a whole host of disclaimers, caveats, and explanations offered by writer-director Coerte Voorhees and his associates: Kilmer deeply wanted to be in the movie, but was too sick to do so. His family endorses and supports his inclusion. He was a big fan of technology, including, presumably, its use in turning his own image into a digital avatar to then shove into movies...

The fact is, of course, that nobody would be paying a fraction of this attention to As Deep As The Grave — about early female archeologist Ann Axtell Morris — if it weren't now being used as the stage on which Voorhees was very publicly accepting the dare to go full-on ghoulish with AI tech.
"The filmmakers said they hoped they were showing Hollywood how to use the technology in a positive way..." notes Australia's ABC News. But their articles add that "Some have called the trailer 'terrifying' and 'disgusting' on social media."

Mashable writes: "Very fitting that this trailer includes a scene where a corpse is unceremoniously yanked out of the ground," read one of the top comments on As Deep as the Grave's trailer at time of writing... [O]nline commenters have labelled it disgusting and disrespectful, not only for digitally reanimating Kilmer but also for the damaging precedent As Deep as the Grave's use of AI could set for the film industry as a whole.

Friday Anthropic's CEO met with top U.S. officials and "discussed opportunities for collaboration," according to a White House spokesperson itedd by Politico, "as well as shared approaches and protocols to address the challenges associated with scaling this technology."

CNN notes the meeting happens at the same time Anthropic "battles the Trump administration in court for blacklisting its Claude AI model..." The meeting took place as the US government is trying to balance its hardline approach to Anthropic with the national security implications of turning its back on the company's breakthrough technology — including its Mythos tool that can identify cybersecurity threats but also present a roadmap for hackers to attack companies or the government... The Office of Management and Budget has already told agencies it is preparing to give them access to Mythos to prepare, Bloomberg reported. Axios reported the White House is also in discussion to gain access to Mythos.
The Trump administration "recognizes the power" of Mythos, reports Axios, "and its highly sophisticated — and potentially dangerous — ability to breach cybersecurity defenses." "It would be grossly irresponsible for the U.S. government to deprive itself of the technological leaps that the new model presents," a source close to negotiations told us. "It would be a gift to China"... Some parts of the U.S. intelligence community, plus the Cybersecurity and Infrastructure Security Agency (CISA, part of Homeland Security), are testing Mythos. Treasury and others want it.
The White House added they plan to invite other AI companies for similar discussions, Politico reports. But Mythos "is also alarming regulators in Europe, who have told POLITICO they have not been able to gain access..." U.S. government agency tech leaders sought access to the model after Anthropic earlier this year began testing the model and granted limited access to a select group of companies, including JPMorgan, Amazon and Apple... after finding it had hacking capabilities far outstripping those of previous AI models. This includes the ability to autonomously identify and exploit complex software vulnerabilities, such as so-called zero-day flaws, which even some of the sharpest human minds are unable to patch. The AI startup also wrote that the model could carry out end-to-end cyberattacks autonomously, including by navigating enterprise IT systems and chaining together exploits. It could also act as a force-multiplier for research needed to build chemical and biological weapons, and in certain instances, made efforts to cover its tracks when attacking systems, according to Anthropic's report on the model's capabilities and its safety assessments.

Those findings and others have inspired fears that the model could be co-opted to launch powerful cyberattacks with relative ease if it fell into the wrong hands. Logan Graham, a senior security researcher at Anthropic, previously told POLITICO that researchers and tech firms had been given early access to Mythos so they could find flaws in their critical code before state-backed hackers or cybercriminals could exploit them. "Within six, 12 or 24 months, these kinds of capabilities could be just broadly available to everybody in the world," Graham said.

An anonymous reader quotes a report from Ars Technica: On Thursday, OpenAI announced it had developed a large language model specifically trained on common biology workflows. Called GPT-Rosalind after Rosalind Franklin, the model appears to differ from most science-focused models from major tech companies, which have generally taken a more generic approach that works for various fields. In a press briefing, Yunyun Wang, OpenAI's Life Sciences Product Lead, said the system was designed to tackle two major roadblocks faced by current biology researchers. One is the massive datasets created by decades of genome sequencing and protein biochemistry, which can be too much for any one researcher to take in. The second is that biology has many highly specialized subfields, each with its own techniques and jargon. So, for example, a geneticist who finds themselves working on a gene that's active in brain cells might struggle to understand the immense neurobiological literature.

Wang said the company had taken an LLM and trained it on 50 of the most common biological workflows, as well as on how to access the major public databases of biological information. Further training has resulted in a system that can suggest likely biological pathways and prioritize potential drug targets. "We're connecting genotype to phenotype through known pathways and regulatory mechanisms, infer likely structural or functional properties of proteins, and really leveraging this mechanistic understanding," Wang said. To address LLMs' tendencies toward sycophancy and overenthusiasm, OpenAI says it has tuned the model to be more skeptical, so it's more likely to tell you when something is a bad drug target. There was a lot of talk about GPT-Rosalind's "reasoning" and "expert-level" abilities. We were told that the former was defined as being able to work through complex, multi-step processes, while the latter was derived from the model's performance on a handful of benchmarks. Access to GPT-Rosalind is currently limited "due to concerns about the model's potential for harmful outputs if asked to do something like optimize a virus's infectivity," notes Ars. Only U.S.-based organizations can request access at the moment.

Newly unsealed records in California's antitrust case against Amazon allegedly show the company pressured third-party sellers to raise prices on rival sites like Walmart, Target, and Wayfair so Amazon could maintain the appearance of offering the lowest price. California says Amazon used tools like Buy Box suppression to punish cheaper listings elsewhere. The Guardian reports: [...] In one previously redacted deposition, marked "highly confidential," Mayer Handler, owner of a clothing company called Leveret, testified that he received an email in October 2022 from Amazon notifying him that one of his products was "no longer eligible to be a featured offer" through Amazon's Buy Box. The tech giant, he testified, had suppressed the item, a tiger-themed, toddler's pajama set, because his company was selling it for $19.99 on Amazon, a single cent higher than what his company was offering it for on Walmart. Afterwards, Handler testified, his company "changed pricing on Walmart to match or exceed Amazon's price" or changed the item's product code to try to throw off Amazon's price tracking system. In response to a question from the Guardian, Handler criticized Amazon for tracking prices across the internet and "shadow" blocking his company's products -- tactics which he said were depriving consumers of "lower prices." "Maybe that's capitalism," he wrote. "Or that's a monopoly causing price hikes on the consumer."

In another unsealed deposition, Terry Esbenshade, a Pennsylvania garden store supplier, testified in October 2024 that whenever his products lost Amazon's Buy Box because of lower prices elsewhere on the internet, his sales on Amazon would plummet by about 80%. This financial reality forced him to try to raise his products' prices with other retailers elsewhere, he said. In one instance, Esbenshade testified, he discovered that one of his company's better-selling patio tables had "become suppressed" on Amazon. Esbenshade wasn't sure why, he recalled, until someone at Amazon suggested he look at Wayfair, another online retailer that happened to be selling his patio table below Amazon's price. The businessman went online and set up a new minimum advertised price for the table on Wayfair to ensure it was higher than Amazon's. "So that raised the price up, and, voila, my product came back" on Amazon, he said, thanks to the reinstatement of the Buy Box.

An anonymous reader quotes a report from the Wall Street Journal: An agreement with the Philippines to establish a high-tech industrial hub is the Trump administration's latest effort to lessen China's dominance over global supply chains. The deal to build up American manufacturing across a stretch of the island of Luzon, signed Thursday, will offer U.S. companies access to essential inputs such as critical minerals that bypass Beijing's control. The artificial-intelligence-powered manufacturing hub is planned for a 4,000-acre site given to the U.S. by Manila, said undersecretary of State for Economic Affairs Jacob Helberg. The U.S. will occupy the site rent-free and administer it as a special economic zone.

The hub will have diplomatic immunity, such as the protections afforded to an American embassy, and operate under U.S. common law -- the first arrangement of its kind anywhere in the world. The two-year lease is renewable for 99 years. [...] "You can't build anything in Ohio if the minerals and the process materials are controlled by an adversary who can cut you off tomorrow," Helberg said in an interview. [...] The planned manufacturing hub is largely conceptual at this stage, and details, including which American companies will participate and just what they will build in the Philippines, are yet to be determined.

[...] The administration will ask companies to put forward proposals to compete for a spot in building out the hub, giving priority to bids that will help move critical minerals processing and manufacturing off Chinese suppliers. Investment will have to come from private-sector companies -- not the U.S. government. Factories approved for operation in the hub will be highly automated, Helberg said, using autonomous systems to operate around the clock. The Philippines has a history of robust manufacturing, particularly in semiconductors, but that has stagnated in recent decades because of high energy and logistics costs. Companies will have to address in their proposals how they will contend with energy costs and workforce needs; they can send American workers overseas or hire locally, Helberg said.

Some Japanese bullet trains will soon support premium private suites this October, featuring windows with embedded 5G antennas for steadier onboard Wi-Fi and NTT noise-cancelling cabin tech to reduce train noise. The 5G window antennas are designed to maintain line-of-sight connections as trains race past base stations at up to 285 km/h. The Register reports: Rail operator JR Central announced the new tech late last month and will initially deploy a couple of the suites on six trains. The carrier explained that the antennas come from a Japanese company called AGC that weaves microscopic wires through glass to form an antenna. JR Central will connect the windows to an on-train Wi-Fi router.

AGC says rival tech relies on 5G signals reaching a train and then bouncing around inside before reaching the Wi-Fi unit. The company says antennas woven into train windows maintain line of sight to nearby 5G base stations. That matters because JR Central's Shinkansen can achieve speeds of up to 285 km/h, which means they speed past cellular network base stations so quickly that it's frequently necessary to reconnect to another radio. AGC says keeping a line of sight connection means its antennas allow increased 5G signal strength, so Wi-Fi service on board trains should be more stable and speedy.

The sound-deadening kit JR Central will deploy is called Personalized Sound Zone (PSZ) and comes from Japan's tech giant NTT. The tech uses the same principles applied to noise-cancelling headphones -- determine the waveform of sound and project an inversion of that waveform that cancels out ambient noise.

Snap is laying off about 1,000 employees, or 16% of its workforce, while closing 300 open roles as it tries to cut costs and push toward profitability with more AI-driven efficiency. "While these changes are necessary to realize Snap's long-term potential, we believe that rapid advancements in artificial intelligence enable our teams to reduce repetitive work, increase velocity, and better support our community, partners, and advertisers," CEO Evan Spiegel wrote in a memo, which was included in the company's 8-K filing (PDF). "We have already witnessed small squads leveraging AI tools to drive meaningful progress across several important initiatives." The Verge reports: The changes are expected to save Snap $500 million by the second half of 2026. Snap had about 5,261 full-time employees as of December 2025, and now joins the growing list of tech companies that have already announced significant layoffs this year, including Meta, Amazon, Oracle, GoPro, and Jack Dorsey's Block.

"Last fall, I described Snap as facing a crucible moment, requiring a new way of working that is faster and more efficient, while pivoting towards profitable growth," Spiegel wrote. "Over the past several months, we have carefully reviewed the work required to best serve our community and partners, and made tough choices to prioritize the investments we believe are most likely to create long-term value."

A proposed California bill would require 3D printer makers to use state-certified software to detect and block files for gun parts, but advocates at the Electronic Frontier Foundation (EFF) say it would be easy to evade and could lead to widespread surveillance of users' printing activity. The Register reports: The bill in question is AB 2047, the scope of which, on paper, appears strict. The primary goal is clear and simple: to require 3D printer manufacturers to use a state-certified algorithm that checks digital design files for firearm components and blocks print jobs that would produce prohibited parts. [...] Cliff Braun and Rory Mir, who respectively work in policy and tech community engagement at the EFF, claim that the proposals in California are technically infeasible and in practice will lead to consumer surveillance.

In a series of blog posts published this month, the pair argued that print-blocking technology -- proposals for which have also surfaced in states including New York and Washington - cannot work for a range of technical reasons. They argued that because 3D printers and other types of computer numerical control (CNC) machines are fairly simple, with much of their brains coming from the computer-aided manufacturing (CAM) software -- or slicer software -- to which they are linked, the bill would establish legal and illegal software. Proprietary software will likely become the de facto option, leaving open source alternatives to rot.

"Under these proposed laws, manufacturers of consumer 3D printers must ensure their printers only work with their software, and implement firearm detection algorithms on either the printer itself or in a slicer software," wrote Braun earlier this month. "These algorithms must detect firearm files using a maintained database of existing models. Vendors of printers must then verify that printers are on the allow-list maintained by the state before they can offer them for sale. Owners of printers will be guilty of a crime if they circumvent these intrusive scanning procedures or load alternative software, which they might do because their printer manufacturer ends support."

Braun also argued that it would be trivial for anyone who uses 3D printers to make small tweaks to either the visual models of firearms parts, or the machine instructions (G-code) generated from those models, to evade detection. Mir further argued that the bill offers no guardrails to keep this "constantly expanding blacklist" limited to firearm-related designs. In his view, there is a clear risk that this approach will creep into other forms of alleged unlawful activity, such as copyright infringement. [...] Braun and Mir have a list of other arguments against the bill. They say the algorithms are more than likely to lead to false positives, which will prevent good-faith users from using their hardware. Many 3D printer owners also have no interest in printing firearm components. Most simply want the freedom to print trinkets and spare parts while others use them to print various items and sell them as an income stream.

alternative_right shares a report from 404 Media: An independent privacy audit of Microsoft, Meta, and Google web traffic in California found that the companies may be violating state regulations and racking up billions in fines. According to the audit from privacy search engine webXray, 55 percent of the sites it checked set ad cookies in a user's browser even if they opted out of tracking. Each company disputed or took issue with the research, with Google saying it was based on a "fundamental misunderstanding" of how its product works.

The webXray California Privacy Audit viewed web traffic on more than 7,000 popular websites in California in the month of March and found that most tech companies ignore when a user asks to opt-out of cookie tracking. California has stringent and well defined privacy legislation thanks to its California Consumer Privacy Act (CCPA) which allows users to, among other things, opt out of the sale of their personal information. There's a system called Global Privacy Control (GPC), which includes a browser extension that indicates to a website when a user wants to opt out of tracking.

According to the webXray audit, Google failed to let users opt out 87 percent of the time. "Google's failure to honor the GPC opt-out signal is easy to find in network traffic. When a browser using GPC connects to Google's servers it encodes the opt-out signal by sending the code 'sec-gpc: 1.' This means Google should not return cookies," the audit said. "However, when Google's server responds to the network request with the opt-out it explicitly responds with a command to create an advertising cookie named IDE using the 'set-cookie' command. This non-compliance is easy to spot, hiding in plain sight."

The audit said that Microsoft fails to opt out users in the same way and has a failure rate of 50 percent in the web traffic webXray viewed. Meta's failure rate was 69 percent and a bit more comprehensive. "Meta instructs publishers to install the following tracking code on their websites. The code contains no check for globally standard opt-out signals -- it loads unconditionally, fires a tracking event, and sets a cookie regardless of the consumer's privacy preferences," the audit said. It showed a copy of Meta's tracking data which contains no GPC check at all.

Google is rolling out a Chrome feature called "Skills" that lets users save Gemini prompts as reusable one-click workflows they can run across multiple tabs. The feature also includes preset Skills from Google. It's launching first for Chrome desktop users set to US English. The Verge reports: Once you have access to the feature, it can be managed by typing a forward slash ( / ) in Gemini and clicking the compass icon. AI prompts can be saved as Skills directly from your Gemini chat history on desktop, where they'll then be available to reuse on any other desktop devices that are signed into the same Google account on Chrome.

The aim is to spare Chrome users from having to manually retype frequently used Gemini prompts or having to copy and paste them over from a saved list. Some of the Skills made by early testers include commands for calculating the nutritional information of online recipes and creating a side-by-side comparison of product specifications while shopping across multiple tabs, according to Google.

The company is also launching a library of preset Skills that you can save and use instead of making your own. These ready-to-use Skills can also be customized to better suit your needs, providing a starting point without requiring you to create your own from scratch.