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Deep Sea Scientists Hunting a Shipwreck Accidentally Stumbled Across The Ocean's Own Backrooms

More than 5,000 feet beneath the surface of the Gulf of Mexico, scientists encountered a truly alien landscape that might just haunt your dreams.

[...]

https://www.youtube.com/watch?v=qoXVNyy73tc

looming out of the deep blue, the crew encountered the mother of all cuboids: a crumpled red shipping container, with a clutch of yet more white cubes spilling from its flayed side.

The cubes were a lost payload of white goods: fridges, freezers, washing machines. The inscribed tablet, a set of instructions for doing the laundry.

Deep Sea Scientists Hunting a Shipwreck Accidentally Stumbled Across The Ocean's Own Backroomshttps://www.sciencealert.com/deep-sea-scientists-hunting-a-shipwreck-accidentally-stumbled-across-the-oceans-own-backroomsOpen linkView original on piefed.social
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noRecognition: defeating a live Flock detector with a small printed pattern

Pretty awesome. He holds up the paper and the cam instantly fails to detect any human in the frame.

This is how we take it back. Force them to keep adapting. Fashion is the new monkeywrench.

Testing an adversarial pattern against a live Flock Safety person detector (YOLOv5-320). No pattern, the camera locks on at 0.81 confidence and reports a person. Hold up the printed sheet and detection drops to nothing.

This run was about size. I wanted to see how small a printed pattern could get and still cause the detection to fail. The sheet here is a hand-held print at close range, not a finished garment, and this is a live detector, not a composite.

Part of the noRecognition project

View original on piefed.social
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nyt_gift_articles·New York Times gift articlesbynymnympseudonym

Trump Threatens Defamation Suit Over National Guard Report, Aiming to Intimidate a Critic

It was the latest example of President Trump’s bid to use the legal system against those who voice unflattering facts and opinions generally protected by the First Amendment.

President Trump has opened a new front in his campaign to intimidate political foes, threatening a prominent liberal think tank with a $5 billion defamation lawsuit over a report concluding that his deployment of the National Guard to cities across the country has had little effect on reducing violent crime.

The threats against the think tank, the Center for American Progress, were Mr. Trump’s latest effort to use the legal system to punish critics for voicing unflattering facts and opinions generally protected by the First Amendment. And while it is unclear how far any suit the president might ultimately file will get in court, it could force the organization to spend money fighting it off and make it even more of a target of his allies and supporters.

On Monday, one of Mr. Trump’s personal lawyers, Alejandro Brito, wrote a letter to the center warning that he would file the suit if the group did not fully retract the report, which was published on its website on July 13. The letter, viewed by The New York Times, was addressed to the group’s president and chief executive, Neera Tanden, a longtime Democratic official who served as a senior adviser to President Joseph R. Biden Jr., and to several of its board members.

Mr. Brito claimed that the report about the National Guard was full of malicious and false statements. He gave Ms. Tanden and members of her board until 5 p.m. on Friday to retract it and apologize to Mr. Trump.

Ms. Tanden pushed back, saying in a statement that the center would “neither cower nor bend in the face” of legal action. She also defended the report, asserting that while its findings might have been “inconvenient to the Trump administration,” they were “grounded in rigorous, evidence-based research and analysis.”

“This threatened lawsuit’s attack on facts and evidence is baseless,” she added. “A fundamental protection of the First Amendment is to allow for the publication of facts and analysis that is contrary to the arguments and claims of any administration. A lawsuit is a transparent attempt to silence us.”
Image
Neera Tanden, the president and chief executive of the Center for American Progress, said that the center would “neither cower nor bend in the face” of legal action.Credit...Jason Andrew for The New York Times

Mr. Trump has often lashed out at scholars and commentators for reproaching or critiquing him in the news media. And since winning re-election, he has filed a flurry of lawsuits against news organizations like the BBC and The Times, claiming they defamed him. He has even filed suit against the Des Moines Register, arguing that a poll the paper published before the 2024 election indicating that he would lose the vote in Iowa amounted to consumer fraud and election interference.

(The Times has filed its own suits against the administration, including two seeking increased access for its reporters at the Pentagon.)

The president has repeatedly claimed that his administration is the most transparent in American history. But he and his aides have used lawsuits and executive actions to go after law firms, universities and television networks. They have also used criminal tactics such as search warrants and grand jury subpoenas in an effort to pry loose sensitive information from reporters.

Many of these efforts have faltered once they reached court and faced judicial scrutiny. Mr. Brito himself has filed multiple failed suits on behalf of Mr. Trump. Last month, a federal judge in Florida referred Mr. Brito for potential disciplinary proceedings after ruling that a suit he filed for the president against the Internal Revenue Service amounted to an improper exercise in self-dealing.

The Center for American Progress report accused Mr. Trump of seeking to take credit for a nationwide decline in violent crime that began before he returned to the White House. The report determined that there was “no evidence” that the National Guard deployments had affected the crime rate, adding that they were poised to cost taxpayers more than $1.7 billion if they continued through the end of 2026.

The report asserted that the “primary goal” of the deployments was “never to stop crime.” Instead, it said they amounted to “a dangerous power grab by the Trump administration.”

The team that put the report together used an analysis based on homicide, violent crime and gun victimization data in cities where the National Guard was deployed — Washington, Los Angeles and Memphis — over the period from January 2023 to this February.

“This approach was employed to identify any statistical changes in crime trends associated with the deployment of the National Guard in specific cities,” its authors wrote.

Mr. Trump referred to the report on social media last week after watching a television segment about the report, which he described as “another Radical Left SCAM.” In the post, he threatened to sue the center and several of its funders, including the liberal financier George Soros, who has long served as a boogeyman for the administration.

A week later, Mr. Brito’s letter arrived at the center, saying that the president would sue if Ms. Tanden and her colleagues did not retract the report, issue an apology and give Mr. Trump unspecified financial compensation.

The letter ended with an all-caps salutation: “PLEASE GOVERN YOURSELVES ACCORDINGLY.”

On Friday, a lawyer for the center fired back in a letter of his own, deriding Mr. Trump’s accusations that he had been defamed.

“This is utterly absurd,” the lawyer, Kevin H. Metz, wrote to Mr. Brito. “Truth is not and cannot be defamation.”

Mr. Metz went on to say that the center welcomed the opportunity to make its case in court and receive more information on the National Guard deployments through the process of discovery.

Other think tanks of various political stripes have rallied to the center’s side.

“Independent organizations across the ideological spectrum must be free to express their analysis and opinions, and to challenge those in power without fear of political retaliation or legal intimidation,” said Peter Goettler, the president and chief executive of the libertarian Cato Institute. “Disagreements on matters of policy should be settled through open inquiry, evidence, and debate — not threats designed to silence criticism.”

https://www.nytimes.com/2026/08/21/us/politics/trump-lawsuit-liberal-think-tank.html?unlocked_article_code=1.7FA.Jr2F.iehQ9_YwBgFv&smid=url-shareOpen linkView original on piefed.social
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LLMs and Humans are Cognitive Cousins – Sean Carroll podcast w/Dr. Chandra Sripada

Do LLMs "think" in a similar way to humans? Or is it totally different?

Maybe it's a good idea to listen to someone who publishes papers on this very subject, and is a professor of both philosophy and psychiatry and directs an Institute for Cognitive Science. That person is Dr. Chandra Sripada and his insights are fascinating.

Sean Carroll (interviewer, scientist and science communicator) says this interview made him lean towards the answer being "yes, they think like humans" whereas previously he favored the opposite view.

https://preposterousuniverse.com/podcast/2026/08/10/363-chandra-sripada-on-how-llms-and-humans-are-cognitive-cousins/Open linkView original on piefed.social
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tech·Technologybynymnympseudonym

LLMs and Humans are Cognitive Cousins – Sean Carroll podcast w/Dr. Chandra Sripada

Do LLMs "think" in a similar way to humans? Or is it totally different?

Maybe it's a good idea to listen to someone who publishes papers on this very subject, and is a professor of both philosophy and psychiatry and directs an Institute for Cognitive Science. That person is Dr. Chandra Sripada and his insights are fascinating.

Sean Carroll (interviewer, scientist and science communicator) says this interview made him lean towards the answer being "yes, they think like humans" whereas previously he favored the opposite view.

https://preposterousuniverse.com/podcast/2026/08/10/363-chandra-sripada-on-how-llms-and-humans-are-cognitive-cousins/Open linkView original on piefed.social
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LLMs and Humans are Cognitive Cousins – Sean Carroll podcast w/Dr. Chandra Sripada

Do LLMs "think" in a similar way to humans? Or is it totally different?

Maybe it's a good idea to listen to someone who publishes papers on this very subject, and is a professor of both philosophy and psychiatry and directs an Institute for Cognitive Science. That person is Dr. Chandra Sripada and his insights are fascinating.

Sean Carroll (interviewer, scientist and science communicator) says this interview made him lean towards the answer being "yes, they think like humans" whereas previously he favored the opposite view.

https://preposterousuniverse.com/podcast/2026/08/10/363-chandra-sripada-on-how-llms-and-humans-are-cognitive-cousins/Open linkView original on piefed.social
-19

LLMs and Humans are Cognitive Cousins – Sean Carroll podcast w/Dr. Chandra Sripada

Do LLMs "think" in a similar way to humans? Or is it totally different?

Maybe it's a good idea to listen to someone who publishes papers on this very subject, and is a professor of both philosophy and psychiatry and directs an Institute for Cognitive Science. That person is Dr. Chandra Sripada and his insights are fascinating.

Sean Carroll (interviewer, scientist and science communicator) says this interview made him lean towards the answer being "yes, they think like humans" whereas previously he favored the opposite view.

https://preposterousuniverse.com/podcast/2026/08/10/363-chandra-sripada-on-how-llms-and-humans-are-cognitive-cousins/Open linkView original on piefed.social
-56

Anti-Flock, Anti-Ring, AI Adversarial Clothing (demo'd @BlackHat & DefCon)

I am so excited about this project. Yes, I am a backer. I love that they are actually testing patterns against real-world cameras (Flocks, Rings, etc) and releasing only those that reliably defeat them.

Check the two most recent updates

Yesterday (Aug 15)

The GPUs have been at 100% for months. Billions of patterns tested against an "impossible" gauntlet of camera models. Here is the plain truth on where we stand.

Hoodie: our best piece. Across all the person detectors we test, nearly 5,000 patterns hit a perfect record. The hoodie covers the most of you, so the pattern has the most to work with.

T-shirt: strong on individual detectors, still tightening. T-shirt patterns beat person detectors on tens of thousands of tests. What we are still building is the harder win: a single T-shirt pattern that stops a real camera on every person, every time. The hoodie is there. The T-shirt is close, and the ship design will be our strongest.

Buff: oh, the buff. The hard one, and here is why. It has to beat two things the shirt and hoodie do not: face detection and facial recognition, both far tougher than spotting a person. So far it reliably beats one of the four face detectors (2,600+ wins), facial recognition is cracking. Two of the toughest models have not fallen to our main method yet. So earlier this week I implemented a second, smarter method, and it is already working. In testing, it fooled the hardest face detector 71% of the time on people it had never seen before. That is the direction the final buff design is heading.

I do not count a win unless two things are true. One, the pattern beats a plain black version of the same garment, so we know the pattern is doing the work, not just covering you. Two, it works on people the system was never tuned on That is a strict test. I watch the wins and losses come in live, and most patterns die on that screen. The ones that make it are real.

The shirt and hoodie are proven. They defeat real cameras today. The buff is the last wall, and I have found the cracks. Last night, on faces it had never seen, it beat that detector 71% of the time. A week ago that number was zero.

This is what it looks like when a wall comes down. Not a press release months from now. Right here, in real time, with you watching. We will finish this.

Today (Aug 16)

We crossed $100k today. I set the goal at $5,000 because that is what I thought it would take to get the first patterns onto real fabric. I never expected to be writing this kind of update.

When I started this research I knew it was important. The feedback from the community has been overwhelming, and your support for this project means you care about your privacy too. Know that every waking minute I am developing the strongest countermeasures possible.

Every dollar of this goes into the research. More cameras to test against, more fabric, more print runs, and the time to keep pushing on the problems that are not solved yet. Six months ago I was begging for GPU hours. Now I can chase the hard cells until they break.

Thank you. I am humbled, grateful, and thankful for you all. Genuinely. If you know someone who would want this, please send it their way.

-Bill

Anti-Flock, Anti-Ring, AI Adversarial Clothing (demo'd @BlackHat & DefCon)https://www.kickstarter.com/projects/norecognition/norecognition-ai-adversarial-clothing/posts/4772472Open linkView original on piefed.social
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Anti-Flock, Anti-Ring, AI Adversarial Clothing (demo'd @BlackHat & DefCon)

I am so excited about this project. Yes, I am a backer. I love that they are actually testing patterns against real-world cameras (Flocks, Rings, etc) and releasing only those that reliably defeat them.

Check the two most recent updates

Yesterday (Aug 15)

The GPUs have been at 100% for months. Billions of patterns tested against an "impossible" gauntlet of camera models. Here is the plain truth on where we stand.

Hoodie: our best piece. Across all the person detectors we test, nearly 5,000 patterns hit a perfect record. The hoodie covers the most of you, so the pattern has the most to work with.

T-shirt: strong on individual detectors, still tightening. T-shirt patterns beat person detectors on tens of thousands of tests. What we are still building is the harder win: a single T-shirt pattern that stops a real camera on every person, every time. The hoodie is there. The T-shirt is close, and the ship design will be our strongest.

Buff: oh, the buff. The hard one, and here is why. It has to beat two things the shirt and hoodie do not: face detection and facial recognition, both far tougher than spotting a person. So far it reliably beats one of the four face detectors (2,600+ wins), facial recognition is cracking. Two of the toughest models have not fallen to our main method yet. So earlier this week I implemented a second, smarter method, and it is already working. In testing, it fooled the hardest face detector 71% of the time on people it had never seen before. That is the direction the final buff design is heading.

I do not count a win unless two things are true. One, the pattern beats a plain black version of the same garment, so we know the pattern is doing the work, not just covering you. Two, it works on people the system was never tuned on. That is a strict test. I watch the wins and losses come in live, and most patterns die on that screen. The ones that make it are real.

The shirt and hoodie are proven. They defeat real cameras today. The buff is the last wall, and I have found the cracks. Last night, on faces it had never seen, it beat that detector 71% of the time. A week ago that number was zero.

This is what it looks like when a wall comes down. Not a press release months from now. Right here, in real time, with you watching. We will finish this.

Today (Aug 16)

We crossed $100k today. I set the goal at $5,000 because that is what I thought it would take to get the first patterns onto real fabric. I never expected to be writing this kind of update.

When I started this research I knew it was important. The feedback from the community has been overwhelming, and your support for this project means you care about your privacy too. Know that every waking minute I am developing the strongest countermeasures possible.

Every dollar of this goes into the research. More cameras to test against, more fabric, more print runs, and the time to keep pushing on the problems that are not solved yet. Six months ago I was begging for GPU hours. Now I can chase the hard cells until they break.

Thank you. I am humbled, grateful, and thankful for you all. Genuinely. If you know someone who would want this, please send it their way.

-Bill

https://www.kickstarter.com/projects/norecognition/norecognition-ai-adversarial-clothing/posts/4772472Open linkView original on piefed.social
48

BBC Global News Podcast: Jeffrey Epstein, Howard Lutnick, and the disgraced former prince

A whistleblower unveils exclusive allegations about Lutnick and Epstein’s business ties.

In an exclusive investigation, a whistleblower has told the BBC how he unearthed evidence suggesting that US Commerce Secretary Howard Lutnick failed to disclose a business relationship with the paedophile financier, Jeffrey Epstein.

Simon Andriesz was a trader at one of Lutnick’s Wall Street firms, but it wasn’t until the Epstein files were released earlier this year that he says he confirmed a longstanding suspicion that his boss was misrepresenting his relationship with Epstein.

BBC financial investigations correspondent Andy Verity joins us to unpack the new investigation.

BBC Global News Podcast: Jeffrey Epstein, Howard Lutnick, and the disgraced former princehttps://www.bbc.co.uk/programmes/p0nzfv03Open linkView original on piefed.social
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Epsteinfiles·The Trump-Epstein Files™bynymnympseudonym

BBC Global News Podcast: Jeffrey Epstein, Howard Lutnick, and the disgraced former prince

A whistleblower unveils exclusive allegations about Lutnick and Epstein’s business ties.

In an exclusive investigation, a whistleblower has told the BBC how he unearthed evidence suggesting that US Commerce Secretary Howard Lutnick failed to disclose a business relationship with the paedophile financier, Jeffrey Epstein.

Simon Andriesz was a trader at one of Lutnick’s Wall Street firms, but it wasn’t until the Epstein files were released earlier this year that he says he confirmed a longstanding suspicion that his boss was misrepresenting his relationship with Epstein.

BBC financial investigations correspondent Andy Verity joins us to unpack the new investigation.

BBC Global News Podcast: Jeffrey Epstein, Howard Lutnick, and the disgraced former princehttps://www.bbc.co.uk/programmes/p0nzfv03Open linkView original on piefed.social
31

SpudCell: The first synthetic cell with a complete cell cycle

Overview

Prof. Kate Adamala and her team at the University of Minnesota have built SpudCell, a cell-like system constructed entirely from known chemical components that can perform a complete cell cycle.

The system contains 36 purified enzymes, a 90,000 base pair genome spread across nine separate DNA molecules, and a lipid membrane. SpudCell is able to grow, replicate its genome, divide, and undergo selection and competition across multiple generations.

Unlike earlier work on minimal cells that carved down living cells, SpudCell is built entirely bottom-up from individually purified, non-living components. It is the first time such a system has demonstrated a complete cell cycle.

SpudCell: The first synthetic cell with a complete cell cyclehttps://biotic.org/research/spudcell/Open linkView original on piefed.social
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