According to a new study published in iScience, the way pigeons problem-solve matches artificial intelligence. The Guardian reports: In the study, 24 pigeons were given a variety of visual tasks, some of which they learned to categorize in a matter of days, and others in a matter of weeks. The researchers found evidence that the mechanism that pigeons used to make correct choices is similar to the method that AI models use to make the right predictions. “Pigeon behavior suggests that nature has created an algorithm that is highly effective in learning very challenging tasks,” said Edward Wasserman, study co-author and professor of experimental psychology at the University of Iowa. “Not necessarily with the greatest speed, but with great consistency.”

On a screen, pigeons were shown different stimuli, like lines of different width, placement and orientation, as well as sectioned and concentric rings. Each bird had to peck a button on the right or left to decide which category they belonged to. If they got it correct, they got food, in the form of a pellet; if they got it wrong, they got nothing. “Pigeons don’t need a rule,” said Brandon Turner, lead author of the study and professor of psychology at Ohio State University. Instead they learn through trial and error. For example, when they were given a visual, say “category A”, anything that looked close to that they also classified as “category A”, tapping into their ability to identify similarities.

Over the course of the experiments, pigeons improved their ability to make right choices from 55% to 95% of the time when it came to some of the simpler tasks. Presented with a more complex challenge, their accuracy went up from 55% to 68%. In an AI model, the main goal is to recognize patterns and make decisions. Pigeons, as research shows, can do the same. Learning from consequences, when not given a food pellet, pigeons have a remarkable ability to correct their errors. Similarity function is also at play for pigeons, by using their ability to find resemblance between two objects. “With just those two mechanisms alone, you can define a neural network or an artificial intelligent machine to basically solve these categorization problems,” said Turner. “It stands to reason that the mechanisms that are present in the AI are also present in the pigeon.”

Read more of this story at Slashdot.

Source: Slashdot – Pigeons Problem-Solve Similarly To Artificial Intelligence, Research Shows

An anonymous reader quotes a report from Ars Technica: Sam Bankman-Fried took the stand in his criminal trial today in an attempt to avoid decades in prison for alleged fraud at cryptocurrency exchange FTX and its affiliate Alameda Research. […] Some of the alleged fraud relates to how Alameda borrowed money from FTX. In testimony today, “Bankman-Fried said he believed that under FTX’s terms of service, sister firm Alameda was allowed in many circumstances to borrow funds from the exchange,” the WSJ wrote. Bankman-Fried reportedly said the terms of service were written by FTX lawyers and that he only “skimmed” certain parts. “I read parts in depth. Parts I skimmed over,” Bankman-Fried reportedly said after [U.S. District Judge Lewis Kaplan] asked if he read the entire terms of service document.

Sassoon asked Bankman-Fried if he had “any conversations with lawyers about Alameda spending customer money that was deposited into FTX bank accounts,” according to Bloomberg’s live coverage. “I don’t recall any conversations that were contemporaneous and phrased that way,” Bankman-Fried answered. “I had so many conversations with lawyers later when we were trying to reconcile things in November 2022,” Bankman-Fried also said. “There were conversations around Alameda being used as a payment processor, a payment agent for FTX. I frankly don’t recall conversations with lawyers or otherwise about the usage of the funds or the North Dimension accounts.” North Dimension was an Alameda subsidiary. The Securities and Exchange Commission has alleged that “Bankman-Fried directed FTX to have customers send funds to North Dimension in an effort to hide the fact that the funds were being sent to an account controlled by Alameda.” […]

In an overview of the alleged crimes, the indictment said Bankman-Fried “misappropriated and embezzled FTX customer deposits and used billions of dollars in stolen funds… to enrich himself; to support the operations of FTX; to fund speculative venture investments; to help fund over a hundred million dollars in campaign contributions to Democrats and Republicans to seek to influence cryptocurrency regulation; and to pay for Alameda’s operating costs.” He was also accused of making “false and fraudulent statements and representations to FTX’s investors and Alameda’s lenders.” SBF’s legal team decided that he would take the stand in his own defense — a risky decision by legal observers as he will have to face cross-examination from federal prosecutors. In a rather unusual move, Judge Kaplan sent the jury home for a day to conduct a hearing on whether certain parts of Bankman-Fried’s testimony are admissible.

During his testimony, Bankman-Fried discussed various aspects of the case, including FTX’s terms of service, loans from Alameda to him and other executives, a hack into FTX, and his use of the encrypted messaging service Signal. Live paywall-free updates of the trial are available here.

Read more of this story at Slashdot.

Source: Slashdot – Sam Bankman-Fried Testifies, Says He ‘Skimmed Over’ FTX Terms of Service

“Illegal dumping is way too common, and often leads to no consequences,” writes Slashdot reader Tony Isaac. “In some urban neighborhoods, people dump entire truckloads of waste in ditches along the streets. Maybe authorities have found a way to make a dent in this problem.” Houston Chronicle reports: The Texas Game Wardens were recently able to track down and arrest a litterbug allegedly behind an illegal dumping of over 200 pounds of construction materials using a barcode left at the scene of the crime, according to a news release from the Texas Parks and Wildlife Department (TPWD). The pile of trash, which included sheetrock, housing trim, two-by-fours and various plastic items, was reportedly dumped along a bridge and creek on private land instead of being properly disposed of.

However, hidden among the garbage was also a box containing a barcode that would help identify the person behind the heap. A Smith County Game Warden used the barcode to track down the materials to a local store, and ultimately the owner of the credit card that was used for the purchase, TPWD said. The game warden interviewed the home owner who had reportedly just finished remodeling his home. “The homeowner explained that he paid someone familiar to the family who offered to haul off their used material and trash for a minimum fee,” Texas Games Wardens said in a statement. “Unfortunately, the suspect kept the money and dumped the trash onto private property.”

Working with the game warden, Smith County Sheriff’s Office environmental deputies eventually arrested the suspect on charges of felony commercial dumping. At the time of the arrest, the suspect’s truck was reportedly found loaded with even more building materials and trash, TPWD said. The state agency did not identify the suspect or disclose when or where they were arrested.

Read more of this story at Slashdot.

Source: Slashdot – Barcode Leads To Arrest of Texas Litterbug Behind 200 Pounds of Dumped Trash

Dan Goodin reports via Ars Technica: Three years ago, Apple introduced a privacy-enhancing feature that hid the Wi-Fi address of iPhones and iPads when they joined a network. On Wednesday, the world learned that the feature has never worked as advertised. Despite promises that this never-changing address would be hidden and replaced with a private one that was unique to each SSID, Apple devices have continued to display the real one, which in turn got broadcast to every other connected device on the network. […]

In 2020, Apple released iOS 14 with a feature that, by default, hid Wi-Fi MACs when devices connected to a network. Instead, the device displayed what Apple called a “private Wi-Fi address” that was different for each SSID. Over time, Apple has enhanced the feature, for instance, by allowing users to assign a new private Wi-Fi address for a given SSID. On Wednesday, Apple released iOS 17.1. Among the various fixes was a patch for a vulnerability, tracked as CVE-2023-42846, which prevented the privacy feature from working. Tommy Mysk, one of the two security researchers Apple credited with discovering and reporting the vulnerability (Talal Haj Bakry was the other), told Ars that he tested all recent iOS releases and found the flaw dates back to version 14, released in September 2020. “From the get-go, this feature was useless because of this bug,” he said. “We couldn’t stop the devices from sending these discovery requests, even with a VPN. Even in the Lockdown Mode.”

When an iPhone or any other device joins a network, it triggers a multicast message that is sent to all other devices on the network. By necessity, this message must include a MAC. Beginning with iOS 14, this value was, by default, different for each SSID. To the casual observer, the feature appeared to work as advertised. The “source” listed in the request was the private Wi-Fi address. Digging in a little further, however, it became clear that the real, permanent MAC was still broadcast to all other connected devices, just in a different field of the request. Mysk published a short video showing a Mac using the Wireshark packet sniffer to monitor traffic on the local network the Mac is connected to. When an iPhone running iOS prior to version 17.1 joins, it shares its real Wi-Fi MAC on port 5353/UDP.

Read more of this story at Slashdot.

Source: Slashdot – iPhones Have Been Exposing Your Unique MAC Despite Apple’s Promises Otherwise

“Threads is officially a success,” writes long-time Slashdot reader destinyland. 9to5Mac reports: During Meta’s quarterly earnings call today, CEO Mark Zuckerberg offered an update on the Threads, saying that the service has “just under” 100 million monthly active users. When Threads launched in July, the app quickly rocketed to having 100 million users within just a few days. While that growth is believed to have slowed down, as expected when something takes off so quickly, Zuckerberg says the service is currently at almost 100 million active users. Note the difference in terms, too. Having 100 million “users” is one thing, while having 100 million monthly active users is quite different — and more impressive.

The number is also impressive when you consider that Threads isn’t available to the millions of people who live in the European Union. As noted by The Verge, Zuckerberg also reiterated today that Meta’s goal is to turn Threads into a “billion-person public conversations app” that is “a bit more positive” than some of the competition. According to Zuckerberg, Threads is on the way to achieving that goal.

Read more of this story at Slashdot.

Source: Slashdot – Meta’s Threads App Has ‘Just Under’ 100 Million Monthly Active Users, Says Zuckerberg

An anonymous reader quotes a report from CNET: T-Mobile caused a bit of a stir earlier this month when a leak revealed it planned to move people from older, cheaper plans to pricier ones starting with their November bill cycle. On Wednesday, the carrier officially walked back the changes with CEO Mike Sievert confirming that they would not happen. “We tend to do tests and pilots of things quite a bit to try to figure out what’s the right answer,” Sievert said on a company earnings call, in response to a question about industry pricing and how it could raise its average revenues per user, a key industry metric. “In this case, we had a test sell to try to understand customer interest in, and acceptance of, migrating off old legacy rate plans to something that’s higher value, for them and for us.”

Sievert noted that the company was doing training around this test and said it wasn’t planned to be a “broad, national thing.” In its statement confirming the leak, the company told CNET earlier this month that the notices it was sending out was going to “a small number” of its users, but the carrier never clarified what a “small number” actually meant and didn’t respond to that question when asked. At the time, the carrier said that the switch would generally see customers pay “an increase of approximately $10 per line” per month.

With the “plenty of feedback” the company received following the leak, Sievert said that T-Mobile has learned that this “particular test sell isn’t something that our customers are going to love.” He mentioned that no migrations of plans have actually rolled out. As for what will happen going forward, the carrier will continue to do tests and pilots for different changes, Mike Katz, T-Mobile’s president of marketing, strategy and products, said on the call.

Read more of this story at Slashdot.

Source: Slashdot – T-Mobile Walks Back Forced Plan Migration, Won’t Make People Switch Plans After All

“Privacy advocate Alexander Hanff has filed a complaint with the Irish Data Protection Commission (DPC) challenging YouTube’s use of JavaScript code to detect the presence of ad blocking extensions in the browsers of website visitors,” writes long-time Slashdot reader Dotnaught. “He claims that under Europe’s ePrivacy Directive, YouTube needs to ask permission to run its detection script because it’s not technically necessary. If the DPC agrees, it would be a major win for user privacy.” The Register reports: Asked how he hopes the Irish DPC will respond, Hanff replied via email, “I would expect the DPC to investigate and issue an enforcement notice to YouTube requiring them to cease and desist these activities without first obtaining consent (as per [Europe’s General Data Protection Regulation (GDPR)] standard) for the deployment of their -spyware- detection scripts; and further to order YouTube to unban any accounts which have been banned as a result of these detections and to delete any personal data processed unlawfully (see Article 5(1) of GDPR) since they first started to deploy their -spyware- detection scripts.”

Hanff’s use of strikethrough formatting to acknowledges the legal difficulty of using the term “spyware” to refer to YouTube’s ad block detection code. The security industry’s standard defamation defense terminology for such stuff is PUPs, or potentially unwanted programs. Hanff, who reports having a Masters in Law focused on data and privacy protection, added that the ePrivacy Directive is lex specialis to GPDR. That means where laws overlap, the specific one takes precedence over the more general one. Thus, he argues, personal data collected without consent is unlawful under Article 5(1) of GDPR and cannot be lawfully processed for any purpose.

With regard to YouTube’s assertion that using an ad blocker violates the site’s Terms of Service, Hanff argued, “Any terms and conditions which restrict the legal rights and freedoms of an EU citizen (and the point of Article 5(3) of the ePrivacy Directive is specifically to protect the fundamental right to Privacy under Article 7 of the Charter of Fundamental Rights of the European Union) are void under EU law.” Therefore, in essence, “Any such terms which restrict the rights of EU persons to limit access to their terminal equipment would, as a result, be void and unenforceable,” he added.

Read more of this story at Slashdot.

Source: Slashdot – Privacy Advocate Challenges YouTube’s Ad Blocking Detection Scripts Under EU Law