Polestar's range expands a little more today. The Swedish spinoff announced that it is opening its order books for a cheaper, longer-range version of the Polestar 3 electric SUV that rather impressed us when we drove it earlier this year. The Polestar 3 Long Range Single Motor will cost $67,500—well under the price cap for the IRS clean vehicle tax credit, for which it qualifies, as it is built in South Carolina.

Dropping the front motor/generator unit means that the Polestar 3 LRSM is a good deal less powerful than the Long Range Dual Motor version we've driven, but 296 hp (220 kW) and 361 lb-ft (489 Nm) should ensure that while it isn't as fast, it shouldn't be any kind of slouch.

And the boost in range should more than make up for any increase in 0-60 times. The Polestar 3 LRSM can go 350 miles (563 km) on a single charge of the 111 kWh battery, compared to 315 miles (507 km) for the Polestar 3 LRDM.

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Elon Musk’s support for Donald Trump is set to boost X’s flagging business, with some marketers poised for a return to the social media platform in order to seek favor with the incoming administration.

Media executives told the Financial Times that some brands were preparing to advertise on X once again, as its billionaire owner was likely to gain an influential role within a second Trump White House.

The platform’s revenues have fallen dramatically since Musk’s $44 billion acquisition two years ago, with some investor estimates suggesting its current valuation is less than $10 billion.

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In 1971, Stanford University psychologist Philip Zimbardo conducted a notorious experiment in which he randomly divided college students into two groups, guards and prisoners, and set them loose in a simulated prison environment for six days, documenting the guards' descent into brutality. His findings caused a media sensation and a lot of subsequent criticism about the ethics and methodology employed in the study. Zimbardo died last month at 91, but his controversial legacy continues to resonate some 50 years later with The Stanford Prison Experiment: Unlocking the Truth , a new documentary from National Geographic.

Director Juliette Eisner started working on the documentary during the pandemic when, like most people, she had a lot of extra time on her hands. She started looking at old psychological studies exploring human nature and became fascinated by the Stanford Prison Experiment, especially in light of the summer protests in 2020 concerning police brutality. She soon realized that the prevailing narrative was Zimbardo's and that very few of the original subjects in the experiment had ever been interviewed about their experiences.

"I wanted to hear from those people," Eisner told Ars. "They were very hard to find. Most of them were still only known by alias or by prisoner number." Eisner persevered and tracked most of them down. "Every single time they picked up the phone, they were like, 'Oh, I'm so glad you called. Nobody has called me in 50 years. And by the way, everything you think you know about this study is wrong,' or 'The story is not what it seems.'"

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An Asian elephant named Mary living at the Berlin Zoo surprised researchers by figuring out how to use a hose to take her morning showers, according to a new paper published in the journal Current Biology. “Elephants are amazing with hoses,” said co-author Michael Brecht of the Humboldt University of Berlin. “As it is often the case with elephants, hose tool use behaviors come out very differently from animal to animal; elephant Mary is the queen of showering.”

Tool use was once thought to be one of the defining features of humans, but examples of it were eventually observed in primates and other mammals. Dolphins have been observed using sea sponges to protect their beaks while foraging for food, and sea otters will break open shellfish like abalone with rocks. Several species of fish also use tools to hunt and crack open shellfish, as well as to clear a spot for nesting. And the coconut octopus collects coconut shells, stacking them and transporting them before reassembling them as shelter.

Birds have also been observed using tools in the wild, although this behavior was limited to corvids (crows, ravens, and jays), although woodpecker finches have been known to insert twigs into trees to impale passing larvae for food. Parrots, by contrast, have mostly been noted for their linguistic skills, and there has only been limited evidence that they use anything resembling a tool in the wild. Primarily, they seem to use external objects to position nuts while feeding.

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On Friday, research organization Epoch AI released FrontierMath , a new mathematics benchmark that has been turning heads in the AI world because it contains hundreds of expert-level problems that leading AI models solve less than 2 percent of the time, according to Epoch AI. The benchmark tests AI language models (such as GPT-4o, which powers ChatGPT) against original mathematics problems that typically require hours or days for specialist mathematicians to complete.

FrontierMath's performance results, revealed in a preprint research paper , paint a stark picture of current AI model limitations. Even with access to Python environments for testing and verification, top models like Claude 3.5 Sonnet , GPT-4o , o1-preview , and Gemini 1.5 Pro scored extremely poorly. This contrasts with their high performance on simpler math benchmarks—many models now score above 90 percent on tests like GSM8K and MATH .

The design of FrontierMath differs from many existing AI benchmarks because the problem set remains private and unpublished to prevent data contamination. Many existing AI models are trained on other test problem datasets, allowing the AI models to easily solve the problems and appear more generally capable than they actually are. Many experts cite this as evidence that current large language models (LLMs) are poor generalist learners.

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Barely nine months after the last cut, NASA's Jet Propulsion Laboratory will again reduce its workforce. On Wednesday, the lab will lay 325 employees off, representing about 5 percent of the workforce at the California-based laboratory that leads the development of robotic space probes for NASA.

"This is a message I had hoped not to have to write," JPL Director Laurie Leshin said in a memo to staff members on Tuesday morning, local time. "Despite this being incredibly difficult for our community, this number is lower than projected a few months ago thanks in part to the hard work of so many people across JPL."

The cuts this week follow a reduction of 530 employees in February of this year due to various factors, including a pause in funding for the Mars Sample Return mission. The NASA laboratory has now cut about one-eighth of its workforce this year.

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For years now, many AI industry watchers have looked at the quickly growing capabilities of new AI models and mused about exponential performance increases continuing well into the future . Recently, though, some of that AI "scaling law" optimism has been replaced by fears that we may already be hitting a plateau in the capabilities of large language models trained with standard methods.

A weekend report from The Information effectively summarized how these fears are manifesting amid a number of insiders at OpenAI. Unnamed OpenAI researchers told The Information that Orion, the company's codename for its next full-fledged model release, is showing a smaller performance jump than the one seen between GPT-3 and GPT-4 in recent years. On certain tasks, in fact, the upcoming model "isn't reliably better than its predecessor," according to unnamed OpenAI researchers cited in the piece.

On Monday, OpenAI co-founder Ilya Sutskever, who left the company earlier this year , added to the concerns that LLMs were hitting a plateau in what can be gained from traditional pre-training. Sutskever told Reuters that "the 2010s were the age of scaling," where throwing additional computing resources and training data at the same basic training methods could lead to impressive improvements in subsequent models.

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The big three record labels notched another court victory against a broadband provider last month, but the music publishing firms aren't happy that an appeals court only awarded per-album damages instead of damages for each song.

Universal, Warner, and Sony are seeking an en banc rehearing of the copyright infringement case, claiming that Internet service provider Grande Communications should have to pay per-song damages over its failure to terminate the accounts of Internet users accused of piracy. The decision to make Grande pay for each album instead of each song "threatens copyright owners' ability to obtain fair damages," said the record labels' petition filed last week.

The case is in the conservative-leaning US Court of Appeals for the 5th Circuit. A three-judge panel unanimously ruled last month that Grande, a subsidiary of Astound Broadband, violated the law by failing to terminate subscribers accused of being repeat infringers. Subscribers were flagged for infringement based on their IP addresses being connected to torrent downloads monitored by Rightscorp, a copyright-enforcement company used by the music labels.

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Bitcoin hit a new record high late Monday, its value peaking at $89,623 as investors quickly moved to cash in on expectations that Donald Trump will end a White House crackdown that intensified last year on crypto.

While the trading rally has now paused, analysts predict that bitcoin's value will only continue rising following Trump's win—perhaps even reaching $100,000 by the end of 2024, CNBC reported .

Bitcoin wasn't the only winner emerging from the post-election crypto trading. Crypto exchanges like Coinbase also experienced surges in the market, and one of the biggest winners, CNBC reported, was dogecoin, a cryptocurrency linked to Elon Musk, who campaigned for Trump and may join his administration. Dogecoin's value is up 135 percent since Trump's win.

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