“Stores of all kinds are using artificial intelligence to sell everything from luxury handbags to hay for horses.”

“Grok is undressing anyone”

“A tool for spotting pancreatic cancer in routine CT scans has had promising results, one example of how China is racing to apply A.I. to medicine's tough problems.”

“In early November, Microsoft said it would supply artificial intelligence tools and training to more than 200,000 students and educators in the United Arab Emirates.”

“They increasingly see themselves as rank-and-file workers who have traditional gripes with their companies.”

“The EA-Star algorithm focuses on computing the shortest route for promising POI visit sequences.”

“You still need humans.”

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“"Keeping New Yorkers safe has been my top priority since taking office, and that includes protecting our kids from the potential harms of social media features that encourage excessive use," Gov. Hochul said in a statement.”

“The improved forecast enables more accurate reserve estimation, reducing procurement costs by 5.53% in 2035 scenario compared to a well-validated numerical weather prediction model. Applying the risk-based aggregation further reduces total production costs by 7.21%.”

“Here are the answers...”

“AI companies developing large models - OpenAI, Anthropic, Meta, Google, DeepSeek, etc. - must outline safety plans and transparency rules for reporting”

“OpenAI is fighting the New York Times’ demand for 20 million private ChatGPT conversations and accelerating new security and privacy protections to protect your data.”

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“They rap on keeping comedy political, celebrity sell-outs, veganism, Bill Maher vs. Billy Joel, trying to calm the rage, and of course, being Just Kids From New York.”

“We discuss Medicaid as a load-bearing feature of our healthcare infrastructure, how this bill will affect millions of Americans using the program, and the potential ways forward in the wake of its evisceration.”

“The NYT is starting to search deleted ChatGPT logs.”

“Will & Zohran discuss his plans to improve housing, transit, policing and homelessness services in New York City, as well as his plans to win this election.”

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“We also discuss New York Mag’s party report from the NYC MAGA scene, and Brace briefs us on what we should know about the murderous “Zizian” rationalists, and how they fit in among all the other people who’ve broken their brains online.”

“We go through the many hilarious details of the unsealed indictment, the Turkish Connection, airline bribes, New York to Easter Island via Ankara travel, ice cream trickery, and windows literally falling off of Turkish buildings in NYC.”

“The podcast discusses the scandal and indictments surrounding a number of top Adams officials, including multiple sets of siblings, all embroiled in bribes, extortions, and various other forms of graft.”

“The podcast discusses Joe Biden's campaign and the evolving nature of American conservatism.”

“OpenAI claims The New York Times paid someone to hack them.”

“We support journalism, partner with news organizations, and believe The New York Times lawsuit is without merit.”

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“The podcast features commentary from striking entertainment workers.”

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“N/A - The provided text is a headline and summary, not a full article with quotes.”

“We cover some breaking 17th century news and look at the race car driving heir to the House of Habsburg, as well as the coronation of King Charles III, for a little modern-day Hell on Earth.”

“We’re joined by wonk whiz-kid @ettingermentum to discuss some of his recent elections analysis.”

““Freewheeling” as they might say.”

“Will has sourced an exquisite reading series on the passing of the Queen by Chicago’s own Jon Kass.”

“All proceeds go to the Kentucky Health Justice Fund, so you’ll not only be supporting a specific woman (Amber) but all women.”

“Will looks at a trio of pieces from the New York Times that appear to be buttering up the readership to place the blame squarely on those least responsible, plus time well-spent on a profile of the most annoying people on Earth!”

“The theme of today’s episode is “looking the truth in the face and ignoring the most obvious conclusion.””

“The episode discusses relationship advice and societal commentary.”

“Niels Jorgensen is a former New York firefighter for over 21 years, who was there at Ground Zero on September 11th, 2001.”

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“The first paper we discuss is “Learning Active Learning from Data,” which suggests a data-driven approach to active learning that trains a secondary model to identify the unlabeled data points which, when labeled, would likely have the greatest impact on our primary model’s performance.”

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“In our discussion, we discuss two major projects that Nyalleng is apart of at the CSIR, one, a predictive policing use case, which focused on understanding and preventing rhino poaching in Kruger National Park, and the other, a healthcare use case which focuses on understanding the effects of a drug treatment that was causing pancreatic cancer in South Africans.”

“We discuss the role of bias in datasets, and explore his vision for models that can identify these biases and adjust the way they train themselves in order to avoid taking on those biases.”

“Michel, the CTO, describes some of the capabilities of their platform, including its ability to detect not only people and pets within the home, but surprising characteristics like breathing rates and patterns.”

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“Brady explains what exactly ADB technology is and how it works, while Stuart walks me through the technical aspects of not only this partnership, but of the reality AI platform as a whole.”

“Andy & I then dive into the AI aspects of the project, including how the training data was collected, the techniques they used to perform fine-grained object detection in the video streams, how they built the analytics platform, some of the remaining challenges with this project, and more!”