Comment Re:Silicone Valley (Score 2) 46
Freenet is also based on middle-out compression.
Comment Re:So i can just post 30TB and get it later? (Score 4, Informative) 46
No. Trying to push 30TB into Freenet will be interpreted as an attack on the network by other peers and they'll disconnect from your peer.
Freenet is better viewed as a communication medium than a storage medium. Data is prioritized according to demand, somewhat like an LRU cache. You can't upload 30TB and expect the network to preserve it for you.
On liability, running a Freenet peer is more like running network infrastructure that automatically routes and caches other people's traffic than intentionally publishing it. US law explicitly recognizes this distinction in the DMCA's provisions for transitory network communications and system caching. We discuss this in more detail in the FAQ.
Comment Re:Just a heads up, decentralized platforms... (Score 4, Informative) 46
You obviously haven't tried Freenet. You can join our room on River and you'll see no spam, no fraud, no hate speech, none of that.
Decentralized doesn't mean unmoderated. Systems built on Freenet can be moderated however their creators and communities want. River is moderated.
The difference is that nobody running one service gets to decide what everyone else is allowed to run.
Submission + - Freenet: Apps Without Platforms
Sanity writes: Earlier this year Slashdot covered the launch of the completely redesigned Freenet. I recently gave a talk about what we've been building since then. Unlike traditional web applications, apps on Freenet have no central server or database, with application state instead distributed across the network. These now include decentralized group chat, publishing, search, and fully decentralized Git hosting. The talk also gets into some of Freenet's internals, including how we use machine learning for network routing.
Nvidia, Microsoft, Meta Warn Against 'Premature Restrictions' of Open-Weight Models 18
Nvidia, Microsoft, Meta, Palantir, and more than 20 other tech companies signed an open letter urging policymakers not to impose "premature restrictions" on open-weight AI models, warning that broad limits could "stifle competition or drive innovation overseas." CNBC reports: They wrote that open-weight models strengthen competition and ensure that the benefits of the technology are "broadly shared rather than concentrated in a few hands." "Relying solely on closed models is not inherently safe: they can be breached, misused, or fail in ways that outsiders cannot detect," the letter said. "And concentrating advanced AI capabilities behind a small number of closed models compounds that risk."
Elon Musk, who runs an AI business under his rocket company SpaceX, also amplified the letter on social media, writing that it has his "full support" in a post on X. SpaceX did not officially sign the letter. Greg Brockman, OpenAI's president, said Thursday that the company believes in broad access, and that he has not been involved in any conversations with the Trump administration about potentially banning Chinese open-weight models in the U.S.
"I think that, that fundamentally, AI and AI usage is something that is actually very important to democratize," Brockman told reporters during a briefing in New York City. "And so, for me, at a sort of deep level, I think that having more models, more usage, that is a good thing." OpenAI CEO Sam Altman addressed the letter in a post on X on Friday, writing that he wants the U.S. to win with both open-weight and proprietary models, and that he is "glad to see this."
[...] In the letter on Friday, the U.S. tech companies said that concerns about unlawful distillation should be addressed through "targeted legal and commercial frameworks" instead of with "sweeping restrictions on techniques that play an important role in AI innovation." "Our AI leadership will be judged not by one frontier AI model, but by whether the United States builds a strong, open ecosystem that diffuses into every sector," the letter said. "This is essential for creating opportunities for innovation and prosperity across the country." The letter follows a separate appeal signed by nearly 200 Silicon Valley companies, including Proton and Y Combinator, warning that restricting U.S. access to Chinese open-weight AI models could cripple the next generation of American startups. "American leadership requires two things: world-leading American open-weight models and continued access for U.S. builders to open models already available worldwide," the startup founders wrote. Instead of broad prohibitions, they argue the government should adopt targeted safeguards.
Of course, these signees "have an obvious economic stake in seeing open AI models flourish," notes TechCrunch. "Companies like Nvidia, Microsoft Azure, and other infrastructure providers have a vested interest in pushing for commoditized models: If models are interchangeable, people will buy more GPUs, rent more cloud capacity, and build more applications."
Elon Musk, who runs an AI business under his rocket company SpaceX, also amplified the letter on social media, writing that it has his "full support" in a post on X. SpaceX did not officially sign the letter. Greg Brockman, OpenAI's president, said Thursday that the company believes in broad access, and that he has not been involved in any conversations with the Trump administration about potentially banning Chinese open-weight models in the U.S.
"I think that, that fundamentally, AI and AI usage is something that is actually very important to democratize," Brockman told reporters during a briefing in New York City. "And so, for me, at a sort of deep level, I think that having more models, more usage, that is a good thing." OpenAI CEO Sam Altman addressed the letter in a post on X on Friday, writing that he wants the U.S. to win with both open-weight and proprietary models, and that he is "glad to see this."
[...] In the letter on Friday, the U.S. tech companies said that concerns about unlawful distillation should be addressed through "targeted legal and commercial frameworks" instead of with "sweeping restrictions on techniques that play an important role in AI innovation." "Our AI leadership will be judged not by one frontier AI model, but by whether the United States builds a strong, open ecosystem that diffuses into every sector," the letter said. "This is essential for creating opportunities for innovation and prosperity across the country." The letter follows a separate appeal signed by nearly 200 Silicon Valley companies, including Proton and Y Combinator, warning that restricting U.S. access to Chinese open-weight AI models could cripple the next generation of American startups. "American leadership requires two things: world-leading American open-weight models and continued access for U.S. builders to open models already available worldwide," the startup founders wrote. Instead of broad prohibitions, they argue the government should adopt targeted safeguards.
Of course, these signees "have an obvious economic stake in seeing open AI models flourish," notes TechCrunch. "Companies like Nvidia, Microsoft Azure, and other infrastructure providers have a vested interest in pushing for commoditized models: If models are interchangeable, people will buy more GPUs, rent more cloud capacity, and build more applications."
Scientists Edited Human Embryo Genes. But Questions Remain (msn.com) 35
"A DNA-editing feat involving editing the genes of early stage embryos was announced this week," reports the Wall Street Journal.
They describe the feat as "a far cry from designer babies, but nevertheless a step in that direction." The research was published online Monday on a preprint server.
They describe the feat as "a far cry from designer babies, but nevertheless a step in that direction." The research was published online Monday on a preprint server.
Challenging UPS and FedEx, Amazon Opens Its Shipping Network to All Businesses (geekwire.com) 81
This week Amazon opened up its parcel shipping, fulfillment, and distribution "to businesses of all types and sizes." Any business can now ship, store, and deliver "using the same supply chain that supports Amazon," according to Monday's announcement of "Amazon Supply Chain Services."
The move sent shares of UPS and FedEx "tumbling" Monday writes GeekWire. And though both stocks bounced back as the week went on, GeekWire sees this as the latest example of Amazon "turning its internal capabilities into products and services for sale..."
"Amazon had already surpassed both carriers to become the nation's largest parcel shipper by volume, according to parcel-analytics firm ShipMatrix." Initial customers include Procter & Gamble, which is using Amazon's freight network to transport raw materials; 3M, which is using it to move products to distribution centers; Lands' End, which is fulfilling orders across sales channels from Amazon's warehouses; and American Eagle Outfitters, which is using Amazon's parcel service for last-mile delivery. The service can fulfill orders placed through platforms that compete with Amazon's own marketplace, including Walmart, Shopify, TikTok, and others... Peter Larsen, vice president of Amazon Supply Chain Services, compared the launch to the origins of Amazon's cloud business...
In addition to putting Amazon in competition with existing players in the logistics industry, the move also raises questions about data privacy. Amazon has faced accusations of using nonpublic seller data to compete against merchants on its marketplace, which it has denied. Larsen told the Wall Street Journal that the company prohibits using supply chain customer data for its own marketplace decisions, noting that hundreds of thousands of Amazon sellers already trust the company to fulfill orders placed on rival platforms.
The article notes that in his annual shareholder letter Amazon's CEO "said the company is also exploring selling its custom AI chips and robotics to outside customers."
The move sent shares of UPS and FedEx "tumbling" Monday writes GeekWire. And though both stocks bounced back as the week went on, GeekWire sees this as the latest example of Amazon "turning its internal capabilities into products and services for sale..."
"Amazon had already surpassed both carriers to become the nation's largest parcel shipper by volume, according to parcel-analytics firm ShipMatrix." Initial customers include Procter & Gamble, which is using Amazon's freight network to transport raw materials; 3M, which is using it to move products to distribution centers; Lands' End, which is fulfilling orders across sales channels from Amazon's warehouses; and American Eagle Outfitters, which is using Amazon's parcel service for last-mile delivery. The service can fulfill orders placed through platforms that compete with Amazon's own marketplace, including Walmart, Shopify, TikTok, and others... Peter Larsen, vice president of Amazon Supply Chain Services, compared the launch to the origins of Amazon's cloud business...
In addition to putting Amazon in competition with existing players in the logistics industry, the move also raises questions about data privacy. Amazon has faced accusations of using nonpublic seller data to compete against merchants on its marketplace, which it has denied. Larsen told the Wall Street Journal that the company prohibits using supply chain customer data for its own marketplace decisions, noting that hundreds of thousands of Amazon sellers already trust the company to fulfill orders placed on rival platforms.
The article notes that in his annual shareholder letter Amazon's CEO "said the company is also exploring selling its custom AI chips and robotics to outside customers."
Claude Code Leak Reveals a 'Stealth' Mode for GenAI Code Contributions - and a 'Frustration Words' Regex (pcworld.com) 38
That leak of Claude Code's source code "revealed all kinds of juicy details," writes PC World.
The more than 500,000 lines of code included:
- An 'undercover mode' for Claude that allows it to make 'stealth' contributions to public code bases
- An 'always-on' agent for Claude Code
- A Tamagotchi-style 'Buddy' for Claude
"But one of the stranger bits discovered in the leak is that Claude Code is actively watching our chat messages for words and phrases — including f-bombs and other curses — that serve as signs of user frustration." Specifically, Claude Code includes a file called "userPromptKeywords.ts" with a simple pattern-matching tool called regex, which sweeps each and every message submitted to Claude for certain text matches. In this particular case, the regex pattern is watching for "wtf," "wth," "omfg," "dumbass," "horrible," "awful," "piece of — -" (insert your favorite four-letter word for that one), "f — you," "screw this," "this sucks," and several other colorful metaphors... While the Claude Code leak revealed the existence of the "frustration words" regex, it doesn't give any indication of why Claude Code is scouring messages for these words or what it's doing with them.
The more than 500,000 lines of code included:
- An 'undercover mode' for Claude that allows it to make 'stealth' contributions to public code bases
- An 'always-on' agent for Claude Code
- A Tamagotchi-style 'Buddy' for Claude
"But one of the stranger bits discovered in the leak is that Claude Code is actively watching our chat messages for words and phrases — including f-bombs and other curses — that serve as signs of user frustration." Specifically, Claude Code includes a file called "userPromptKeywords.ts" with a simple pattern-matching tool called regex, which sweeps each and every message submitted to Claude for certain text matches. In this particular case, the regex pattern is watching for "wtf," "wth," "omfg," "dumbass," "horrible," "awful," "piece of — -" (insert your favorite four-letter word for that one), "f — you," "screw this," "this sucks," and several other colorful metaphors... While the Claude Code leak revealed the existence of the "frustration words" regex, it doesn't give any indication of why Claude Code is scouring messages for these words or what it's doing with them.
Comment Re:Where does the data live? (Score 4, Informative) 26
Thanks for your questions, Freenet caches data but it isn’t meant to be a long-term storage network. It’s better to think of it as a communication system. Data persists as long as at least one node remains subscribed to it. If nobody subscribes (including the author), it will eventually disappear from the network. So yes, if only your node subscribes then the data will only exist there and won’t be available when your machine is offline. But if other nodes subscribe it will be replicated automatically and remain available even if your node goes offline.
Comment Re:2023 (Score 1) 26
Not from 2023, the linked video is from last month. https://www.youtube.com/watch?...
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.
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.
Apple MacBook Neo Beats Every Single x86 PC CPU For Single-Core Performance (notebookcheck.net) 329
Early benchmarks show the A18 Pro-powered MacBook Neo beating every current x86 CPU in single-core Cinebench performance, including chips from Intel and AMD. Notebookcheck reports: We have performed a couple of benchmarks and were particularly impressed by the single-core performance. Not in the short Geekbench test, but in Cinebench 2024, where a single-core test takes about 10 minutes. The A18 Pro consumes between 3.5-4 Watts in this scenario and scores 147 points. This means it is faster than every other x86 processor in our database, including the two desktop processors Intel Core Ultra 9 285K & AMD Ryzen 9 9950X3D. This also means the MacBook Neo beats every modern mobile processor from AMD, Intel and also Qualcomm, even though the upcoming Snapdragon X2 chips should be a bit faster. The A18 Pro is also slightly faster than Apple's own M3 generation in this scenario. Further reading: ASUS Executive Says MacBook Neo is 'Shock' to PC Industry
OpenAI Is Walking Away From Expanding Its Stargate Data Center With Oracle (cnbc.com) 41
OpenAI is reportedly backing away from expanding its AI data center partnership with Oracle because newer generations of Nvidia GPUs may arrive before the facility is even operational. CNBC reports: Artificial intelligence chips are getting upgraded more quickly than data centers can be built, a market reality that exposes a key risk to the AI trade and Oracle's debt-fueled expansion. OpenAI is no longer planning to expand its partnership with Oracle in Abilene, Texas, home to the Stargate data center, because it wants clusters with newer generations of Nvidia graphics processing units, according to a person familiar with the matter.
The current Abilene site is expected to use Nvidia's Blackwell processors, and the power isn't projected to come online for a year. By then, OpenAI is hoping to have expanded access to Nvidia's next-generation chips in bigger clusters elsewhere, said the person, who asked not to be named due to confidentiality. In a post on X, Oracle called the reports "false and incorrect." However, it only said existing projects are on track and didn't address expansion plans.
CNBC notes: "Oracle secured the site, ordered the hardware, and spent billions of dollars on construction and staff, with the expectation of going bigger."
The current Abilene site is expected to use Nvidia's Blackwell processors, and the power isn't projected to come online for a year. By then, OpenAI is hoping to have expanded access to Nvidia's next-generation chips in bigger clusters elsewhere, said the person, who asked not to be named due to confidentiality. In a post on X, Oracle called the reports "false and incorrect." However, it only said existing projects are on track and didn't address expansion plans.
CNBC notes: "Oracle secured the site, ordered the hardware, and spent billions of dollars on construction and staff, with the expectation of going bigger."
Stack Overflow Went From 200,000 Monthly Questions To Nearly Zero (stackexchange.com) 125
Stack Overflow's monthly question volume has collapsed to about 300 -- levels not seen since the site launched in 2009, according to data from the Stack Overflow Data Explorer that tracks the platform's activity over its sixteen-year history.
Questions peaked around 2014 at roughly 200,000 per month, then began a gradual decline that accelerated dramatically after ChatGPT's November 2022 launch. By May 2025, monthly questions had fallen to early-2009 levels, and the latest data through early 2026 shows the collapse has only continued -- the line now sits near the bottom of the chart, barely registering.
The decline predates LLMs. Questions began dropping around 2014 when Stack Overflow improved moderator efficiency and closed questions more aggressively. In mid-2021, Prosus acquired Stack Overflow for $1.8 billion. The founders, Jeff Atwood and Joel Spolsky, exited before the terminal decline became apparent. ChatGPT accelerated what was already underway. The chatbot answers programming questions faster, draws on Stack Overflow's own corpus for training data, and doesn't close questions for being duplicates.
Questions peaked around 2014 at roughly 200,000 per month, then began a gradual decline that accelerated dramatically after ChatGPT's November 2022 launch. By May 2025, monthly questions had fallen to early-2009 levels, and the latest data through early 2026 shows the collapse has only continued -- the line now sits near the bottom of the chart, barely registering.
The decline predates LLMs. Questions began dropping around 2014 when Stack Overflow improved moderator efficiency and closed questions more aggressively. In mid-2021, Prosus acquired Stack Overflow for $1.8 billion. The founders, Jeff Atwood and Joel Spolsky, exited before the terminal decline became apparent. ChatGPT accelerated what was already underway. The chatbot answers programming questions faster, draws on Stack Overflow's own corpus for training data, and doesn't close questions for being duplicates.
'AI Can't Think' (theverge.com) 289
In an essay published in The Verge, Benjamin Riley argues that today's AI boom is built on a fundamental misunderstanding: language modeling is not the same as intelligence. "The problem is that according to current neuroscience, human thinking is largely independent of human language -- and we have little reason to believe ever more sophisticated modeling of language will create a form of intelligence that meets or surpasses our own," writes Riley. A user shares: The article goes on to point out that we use language to communicate. We use it to create metaphors to describe our reasoning. That people who have lost their language ability can still show reasoning. That human beings create knowledge when they become dissatisfied with the current metaphor. Einstein's theory of relativity was not based on scientific research. He developed it as thought experiment because he was dissatisfied with the existing metaphor. It quotes someone who said, "common sense is a collection of dead metaphors." And that AI, at best, can rearrange those dead metaphors in interesting ways. But it will never be dissatisfied with the data it has or an existing metaphor.
A different critique (PDF) has pointed out that even as a language model AI is flawed by its reliance on the internet. The languages used on the internet are unrepresentative of the languages in the world. And other languages contain unique descriptions/metaphors that are not found on the internet. My metaphor for what was discussed was the descriptions of the kinds of snow that exist in Inuit languages that describe qualities nowhere found in European languages. If those metaphors aren't found on the internet, AI will never be able create them.
This does not mean that AI isn't useful. But it is not remotely human intelligence. That is just a poor metaphor. We need a better one. Benjamin Riley is the founder of Cognitive Resonance, a new venture to improve understanding of human cognition and generative AI.
A different critique (PDF) has pointed out that even as a language model AI is flawed by its reliance on the internet. The languages used on the internet are unrepresentative of the languages in the world. And other languages contain unique descriptions/metaphors that are not found on the internet. My metaphor for what was discussed was the descriptions of the kinds of snow that exist in Inuit languages that describe qualities nowhere found in European languages. If those metaphors aren't found on the internet, AI will never be able create them.
This does not mean that AI isn't useful. But it is not remotely human intelligence. That is just a poor metaphor. We need a better one. Benjamin Riley is the founder of Cognitive Resonance, a new venture to improve understanding of human cognition and generative AI.
