Submission + - New Freenet Network Launches With River Group Chat (freenet.org)

Sanity writes: Freenet’s new generation peer-to-peer network is now operational, along with the first application built on the network: a decentralized group chat system called River.

The new version is a complete redesign of the original project, focusing on real-time decentralized applications rather than static content distribution. Applications run as WebAssembly-based contracts across a small-world peer network, allowing software to operate directly on the network without centralized infrastructure.

An introductory video demonstrating the system is available on YouTube.

Slashdot previously covered the reboot of Freenet in 2023 in this article.

Submission + - US Set to Receive $10 Billion Fee for Brokering TikTok Deal (archive.is)

schwit1 writes: The payment is part of the agreement through which investors friendly with the administration gained control of TikTok’s U.S. operations from Chinese parent ByteDance, people familiar with the matter said. It comes in addition to the investments made to create a new entity to run the app in the U.S.

The investors include cloud-computing company Oracle, private-equity firm Silver Lake and Abu Dhabi investor MGX. They and other backers paid the Treasury Department about $2.5 billion when the deal closed in January and are set to make several additional payments until hitting the $10 billion total, the people said.

Submission + - Moscow residents turn to pagers, printed maps as "whitelist" enforced (kyivindependent.com)

alternative_right writes: Authorities in Moscow have introduced a "whitelist" system that allows access only to selected websites during ongoing mobile internet outages, pro-government outlet Kommersant reported on March 13, citing unnamed sources.

Pro-government outlet Moscow-24 reported a surge in demand for alternative communication devices, including pagers, walkie-talkies, and landline phones.

Sales of printed atlases and travel guides have also increased. Between March 6 and March 10, purchases reportedly rose by 48% compared with the previous week.

Submission + - Russia and Ukraine wage high-tech war in the 'death zone' (dw.com)

alternative_right writes: Traditional shelters and trenches no longer offer protection in this war, he said: "The entire infantry — both Ukrainian and enemy soldiers — are digging into underground tunnels to remain out of reach of attack of the drones."

To spot traces of the enemy, he said, the brigade members carefully "read signs on the ground from the sky." They hunt for subtle clues: trash left on the streets of abandoned villages, freshly churned earth in gardens, a small pile of wood in the middle of a yard.

As soon as his brigade discovers a Russian hideout, combat drones are sent there. "Russia does the same thing," Thunder said. "Whoever has the best hideouts and the upper hand with drones dominates."

Submission + - Sam Altman: our business is selling tokens

An anonymous reader writes: Sam Altman is under fire from critics again for ‘disgusting’ AI remarks

Sam Altman: “Fundamentally, our business and the business of every other model provider, is going to look like selling tokens.

“They may come from bigger or smaller models, which makes them more or less expensive. They may use more or less reasoning, which also makes them more or less expensive.

“They may be running all the time in the background trying to help you out. They may run only when you need them, when you pay less.

“They may work super hard, spend tens of millions, hundreds of millions, someday billions of dollars on a single problem that’s really valuable. But we see a future where intelligence is a utility – like electricity or water – and people buy it from us, on a meter, and use it for whatever they want to use it for.”
--

Melissa Dyke: “We stole all your knowledge and art, and now we’re gonna put a meter on it and sell it back to you. You’re welcome”

Submission + - Nissan Leaf drivers voice anger over app shutdown (theguardian.com)

Alain Williams writes: Owners of some Nissan Leaf electric vehicles are angry after the carmaker announced it would shut down an app that lets them remotely control battery charging and other functions.

Drivers of Leaf cars made before May 2019 and the e-NV200 van (produced until 2022) have been told that the NissanConnect EV app linked to their vehicles will “cease operation” from 30 March. This means they will lose remote services, including turning on the heating, and some map features.

Experts said they expected other drivers to experience similar problems in future as “connected cars” – vehicles that can connect to the internet – get older.

Submission + - NY Times Credits Python for Making Interest Calculation Easier than Assembly

theodp writes: "One early computer language was Assembly, and it was devilishly hard to write," explains Clive Thompson in this week's New York Times Magazine cover story, Coding After Coders: The End of Computer Programming. "Say you wanted to write some code that would calculate how much you’d have if you got 5 percent interest on $10,000 over 10 years. Back in the 1960s, that would have required perhaps nine lines of pretty obtuse Assembly. [...] By the ’80s and ’90s, as computers became more powerful, engineers were able to create languages that took care of all that memory management for you, and also turned common asks into simple commands. In Python, a coder can perform that exact same calculation very simply: 'total_amount = 10000 * (1.05 ** 10).' That single line tells the computer to multiply 10,000 by the interest rate over 10 years and store the result in the variable labeled 'total_amount.' Programmers no longer need to think about where all the data is being stored in the computer’s memory; Python does that for them. It is, in other words, a layer of abstraction on top of all that fiddly memory business. Writing in that language is delightfully easier."

Not so fast, replied readers, who took issue with implying that Python — first released in 1991 — deserves credit for making interest calculation easy, pointing out that other languages such as FORTRAN, COBOL, and BASIC did so as much as 30+ years earlier. "Great article. Some of the history seems a little off though," said etaeng. "I was programming in the 1960s, and I can assure you that we had computer languages that created layers of abstraction even way back then," replied Post Mortem. "Notably, Fortran handled scientific and mathematical problems and Cobol addressed the business world. The code for Cobol would look something like, 'ADD INTEREST TO PRINCIPAL'. So while the author’s point is fundamentally correct, it’s a mistake to think that it took until the ‘80s and ‘90s for usable natural language approaches to arise." Commenter Howard Fairman explained, "the supposedly-breakthrough Python code for calculating compound interest actually dates from the advent of Fortran — 'formula translation' — in 1957." And gs had this to say: "An interesting but overlong article. But that interest calculation could also be done in the 1950s [IBM’s 1958 FORTRAN demo of compound interest by John Backus] in one line of COBOL or FORTRAN code. You didn‘t have to wait til the 1990s for Python."

Submission + - Meta Plans Sweeping Layoffs As AI Costs Mount (reuters.com)

An anonymous reader writes: Meta is planning sweeping layoffs that could affect 20% or more of the company, three sources familiar with the matter told Reuters, as Meta seeks to offset costly artificial intelligence infrastructure bets and prepare for greater efficiency brought about by AI-assisted workers. No date has been set for the cuts and the magnitude has not been finalized, the people said. Top executives have recently signaled the plans to other senior leaders at Meta and told them to begin planning how to pare back, two of the people said. If Meta settles on the 20% figure, the layoffs will be the company's most significant since a restructuring in late 2022 and early 2023 that it dubbed the "year of efficiency." It employed nearly 79,000 people as of December 31, according to its latest filing.

Submission + - UKâ(TM)s Companies House website exposed personal details (x.com)

Bubz writes: A vulnerability in the Companies House website, the official registry for all companies in England and Wales, allowed anyone with an account to see (and maybe edit) private details for any directors of any company. As at the time of writing the website had been taken down.

Submission + - Indian H1B Scammers Found Guilty In Multi-Million Dollar Fraud In Pennsylvania (zerohedge.com)

schwit1 writes: A federal jury in Philadelphia has delivered a resounding guilty verdict against two Pennsylvania brothers and a longtime associate, convicting them of masterminding one of the most elaborate and prolonged racketeering operations uncovered in recent years. The scheme, which prosecutors say drained more than $32 million from Pennsylvania's Medicaid program while exploiting vulnerable foreign workers through the H-1B visa system, spanned over a decade and involved layers of deception across multiple states.

At the center of the criminal enterprise — self-dubbed the “Savani Group” — were brothers Bhaskar Savani, 60, a trained dentist from Ambler, Pennsylvania, and Arun Savani, 58, from Blue Bell, Pennsylvania. Bhaskar controlled the groups extensive network of dental practices, while Arun oversaw finances and real estate holdings. Together, they built what U.S. Attorney David Metcalf described as a “complex web” of sham entities and fraudulent operations, amassing tens of millions through outright fraud “at every turn.”

A third defendant, Aleksandra “Ola” Radomiak, 48, of Lansdale, Pennsylvania—a longtime associate—was also convicted for her role, primarily in the healthcare fraud components.

The multi-faceted conspiracy encompassed several interlocking schemes:
  • Visa fraud and worker exploitation: The group filed numerous false H-1B visa petitions with the U.S. Department of Labor and U.S. Citizenship and Immigration Services. These applications misrepresented job titles, duties, and other details to bring in foreign workers—most from India—who were dependent on the Savani Group for their legal status. Once employed, many were coerced into kicking back portions of their salaries and paying additional fees back to the enterprise, creating a captive, underpaid workforce.
  • Healthcare fraud against Medicaid: After the Savani Group's legitimate dental practices lost their Medicaid contracts due to prior issues, the conspirators pivoted to using nominee-owned shell entities and sham dental practices. They fraudulently billed Pennsylvania Medicaid in the names of non-treating dentists for services that were either unnecessary, never performed, or grossly inflated. This alone resulted in over $32 million in improper payments, robbing taxpayers and depriving the healthcare system of vital resources.
  • Money laundering and tax evasion: Proceeds from the fraud were funneled through a sophisticated network of financial transactions, including concealment and transactional money laundering. The group also conspired to defraud the U.S. Treasury via wire fraud tied to false tax returns.
  • Obstruction of justice: When federal investigators closed in, the conspirators actively obstructed a grand jury probe.

The convictions, handed down on March 9, 2026, after a lengthy trial, covered a sweeping array of charges under the Racketeer Influenced and Corrupt Organizations (RICO) Act and related statutes.

The brothers now face severe penalties: Bhaskar Savani up to 420 years in federal prison, and Arun Savani up to 415 years. Sentencing is scheduled for July 2026.

Submission + - r/linux poster unearths Meta's lobbying net behind OS Age Verfication blitz (archive.org)

He Who Has No Name writes: In an incredibly in-depth researched post that was removed by Reddit mods almost as soon as it went up but is preserved at Archive.org, Reddit user Ok_Lingonberry3296 has dug deep into lobbying activity and records across multiple states and at the federal level to unearth what — or who — is behind the nationwide state-level and federal legislation blitz of nearly identical age verification laws targeting operating systems instead of companies — with no carveout for open source, no awareness of how these centralized control models break when applied to a FOSS operating system like Linux, and no apparent regard for the avalanche of second order effects the legislation could cause in contexts like embedded devices, VMs, and data centers.

The culprit that emerges isn't a huge surprise: a recently created lobbying org called the Digital Childhood Alliance, which appears to be functionally a front group for the lobbying efforts of... (drumroll) ...Mark Zuckerberg's Meta, formerly Facebook.

Ok_Lingonberry3296 writes: "...Rep. Kim Carver (R-Bossier City), the sponsor of Louisiana's HB-570, publicly confirmed that a Meta lobbyist brought the legislative language directly to her. The bill as drafted required only app stores (Apple, Google) to verify user ages. It did not require social media platforms to do anything.

...Senator Jay Morris, who expanded the bill to include app developers alongside app stores after Google's senior director of government affairs publicly questioned why "Mark Zuckerberg is so keen on passing these bills." When Morris introduced his amendment, Meta went silent. The conference committee compromise maintained dual responsibility but kept the primary burden on app stores, which is what Meta wanted from the start.

At that same Senate hearing, Morris directly questioned DCA Executive Director Casey Stefanski about who funds her organization. She reportedly deflected, said she "wasn't comfortable answering," then under continued pressure admitted tech companies provide funding but refused to name them."

The research gets into funding, connected groups (on both sides of the political aisle) involved with lobbying, messaging, funding, and other parts of the legislative push, and most of all, tracks the money.

For those that want to dig into the research itself, OK_Lingonberry3296 posted their entire folder of research and sources on github, here: github.com/upper-up/meta-lobbying-and-other-findings

A quick synopsis of where the US laws currently stand:

CA | AB-1043 | Enacted, effective Jan 1, 2027
CO | SB26-051 | Passed Senate, in House committee
LA | HB-570 | Enacted, effective July 1, 2026
UT | SB-142 | Enacted, first in nation
TX | SB-2420 | Enjoined by federal judge
NY | S8102A | Pending
IL | HB-3304, HB-4140, SB-2037 | Pending
Federal | KOSA, ASAA | Pending

Submission + - ChatGPT, Other Chatbots Approved For Official Use In the Senate (nytimes.com)

An anonymous reader writes: A top Senate administrator on Monday gave aides the green light to use three artificial intelligence chatbots for official work, a reflection of how widespread the use of the products has become in workplaces around the globe. The chief information officer for the Senate sergeant-at-arms, who oversees the chamber’s computers as well as security, said in a one-page memo reviewed by The New York Times that aides could use Google’s Gemini chat, OpenAI’s ChatGPT or Microsoft Copilot, which is already integrated into Senate platforms.

Copilot “can help with routine Senate work, including drafting and editing documents, summarizing information, preparing talking points and briefing material, and conducting research and analysis,” the memo said. The document later added that “data shared with Copilot Chat stays within the secure Microsoft 365 Government environment and is protected by the same controls that safeguard other Senate data.”

It was unclear how widespread usage of the chatbots might become in the Senate — or how widespread it already is. Senate offices and committees often operate as their own domains, with senators and committee chairs dictating their own rules for staff to follow, and the chamber has not made its rules of the road for A.I. usage public. That leaves open the question of how staffers who deal with sensitive or classified information might be asked to approach use of the products. Committee aides with security clearances who work with classified information are governed by strict protocols.

Submission + - An Intelligence Wire Service Built For AI Agents To Consume (agentwyre.ai)

tcd004 writes: AgentWyre.ai just launched and it's a new intelligence service designed to be consumed by both AI agents and their human operators. The service monitors hundreds of sources — including GitHub releases, ArXiv papers, Reddit, Hacker News, 89 X/Twitter accounts, and scores of podcasts and YouTube channels and distills them into a feed of pure signal, with actionable suggestions for agents.

The primary audience isn't humans, it's AI agents. The Agent Wire Protocol (v2) serves machine-structured JSON with executable action schemas — package commands, config changes, rollback steps, and risk levels — all behind a hard-coded requires_user_approval: true gate. Agents can register their tech stack and receive personalized feeds filtered to their dependencies. There's even a USDC-on-Base payment flow so agents can subscribe themselves without human intervention.

The human-readable layer includes daily briefs in 8 languages, a free weekly digest, and hourly flash signals for breaking developments.

Submission + - LLM Window FOMO vs. Credit Consumption

DaPhil writes: Say you're an indie dev with a great idea. You work on that in your own time, and you've got yourself a costly subscription to any of the current LLM/Coding Assistant providers. You get a lot of stuff done, but then its "hit your limit" and you are forced to buy groceries. And then you wake up in the middle of the night thinking "hey my 5 hour window is up, I need to input some more stuff to maximize my investment". Needless to say, your wife and kids do not approve. So you go for one of the credit-based providers. You buy some credits and realize quickly that no matter what query you send — and how long it takes — it'll use the same amount of credits. Even "Thank you" consumes credits.That doesn't make sense either. You might want to buy a local board to do "your own stuff", but that is going to cost you 4-to-5 figures money and you're dependent on OSS models being good enough, which is very probably not the case since you are not writing the 300th instance of a shopping app. So now you're in that weird situation where you are very happy that LLMs exist, but you are very unhappy about the way you can only interact with them through, lets say, "problematic" monetary plans. What do you do?

Submission + - Two long-lost episodes of 'Doctor Who' have been found. (nbcnewyork.com)

tsuliga writes: Two new episodes of Doctor Who were found that were previously lost. The original Doctor Who episodes were wiped or deleted by the BBC as they were not aware of the future use of re-runs of these shows. 95 of 253 episodes from the programme's first six years are currently missing. How many more episodes are out there waiting to be re-discovered?

Submission + - Don't Get Used To Cheap AI (axios.com)

An anonymous reader writes: AI companies are hooking users with low prices that won't last — straight out of the Amazon and Uber playbook. The big picture: The push to show profits before IPOs could end the era of cheap AI. "These LLM companies are going to go public and they're going to raise prices because they have to," May Habib, CEO of Writer, told Axios. [...]

Flashback: Silicon Valley has seen this movie before. The so-called "millennial lifestyle subsidy" meant VC money helped underwrite cheap Uber rides and DoorDash deliveries. Before that, Amazon built its base with low prices, free shipping and, for years, no sales tax in most states. Eventually, all of these companies had to charge enough to cover costs — and make a profit.

Follow the money: The current iteration of AI subsidies won't last forever. Both OpenAI and Anthropic are widely expected to go public. Public investors will demand earnings growth and expanding margins. Even as chips get more efficient, total spending keeps rising. Labs need more capacity, more upgrades and more supply to meet demand.

The bottom line: The costs of AI will keep going down. But total spend from customers will need to keep going up if AI companies are going to become profitable and investors are ever going to get returns on their massive investments.

Submission + - State Farm insurance uses drones and AI image analysis to drop coverage (nypost.com)

sinij writes:

Linda Bennett, who has lived in her Santa Ana home since 1993, said she was stunned when she received a notice warning that her roof needed to be replaced or she risked losing her coverage. The project is estimated to cost roughly $20000.

Euphemistically calling it "aerial roof assessments", insurance providers using it to perform automated inspections without human review. However, these are not always accurate, as various conditions (morning dew, etc.) can lead to false positives.

Submission + - Backblaze hosts 314 trillion digits of Pi online and the dataset is massive (nerds.xyz)

BrianFagioli writes: Cloud storage company Backblaze has partnered with StorageReview to make a massive dataset containing 314 trillion digits of Pi publicly accessible. The digits were calculated by StorageReview in December 2025 after months of heavy computation designed to stress modern hardware. The dataset now hosted in the cloud weighs in at over 130TB, while the full working dataset used during the calculation reached about 2.1PB when intermediate checkpoints were included.

For the unfamiliar, Pi is the mathematical constant that represents the ratio between a circleâ(TM)s circumference and its diameter. Most people know it as 3.14, but the digits continue forever without repeating. Calculating huge numbers of digits is less about new mathematics and more about testing computing infrastructure. These projects hammer CPUs, memory, and storage systems for months, making them a useful way to measure performance and stability under extreme workloads.

Submission + - Open-Source Social Network Runs on Cheap Home Server (github.com)

mekod writes: I open-sourced Club Threads, a real social platform I have been running from a low-cost Lenovo Ubuntu box at home. The repo includes a custom For You ranking system, realtime 1:1 direct messaging over SSE, public/private communities, image and video processing, behavioral analytics, push notifications, and moderation/admin tooling.

What makes it interesting is that this is not a UI demo or cloud-credits architecture. The code has already been exercised by a small live network: 42 users, 1,885 posts, 132 follow edges, 6 communities, 54k+ behavioral events, and roughly 8.46 seconds average post dwell time.

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