Today on, we take an early look at the SpaceX IPO and why you might find yourself among the investors without even realizing it. This week on, our hosts discuss SpaceX officially going public and who will benefit the most from it, as well as Apple's WWDC and the brand-new release of Siri AI. They also get into how Meta removed a face-recognition feature after a WIRED report exposed it--and later in the show: an investigation into how New York Knicks' owner James Dolan created an extensive surveillance system inside all of his Madison Square Garden properties. Write to us at [email protected] . You can always listen to this week's podcast through the audio player on this page, but if you want to subscribe for free to get every episode, here's how: If you're on an iPhone or iPad, open the app called Podcasts, or just tap this link . Before we start, two quick things. If you've been enjoying listening to the show, would appreciate it if you took a second to rate it in your app of choice. It really helps us reach more people. Second, if you have any questions related to tech, privacy, or politics that you would like me, Zoë, and Leah to take on, now is the time to submit them to [email protected] . It doesn't matter how big or how small, we want to hear from you and get you answers. I'm a little tired, but it's because I got to see Lionel Messi play soccer last night and score a goal on a penalty kick. It was a friendly of Argentina versus Iceland. You'll never guess who won. Is that an obvious thing? It's far from their first attempt, but it's going to stick this time. We're also taking an early look at the SpaceX IPO this week, which is slated to become the world's largest IPO of all time. We'll get into who is slated to benefit the most. Elon Musk, who is already the world's richest man, but on track to become even richer and why you might find yourself among the investors without even realizing it. And in case you missed it, WIRED reporters recently uncovered that Meta had silently embedded code that would power a face-recognition system for its smart classes in the Meta AI app on millions of people's phones.

Musk's $1.8 trillion SpaceX IPO could be'highly undesirable' for some SpaceX is expected to debut on the United States' public markets on Friday in what will be the largest initial public offering (IPOs). Artificial intelligence (AI) giants OpenAI and Anthropic are also widely expected to go public soon, and thanks to a new rule change by tech stock exchange Nasdaq, individual investors could own stock of these companies when they go public in as soon as 15 business days following its first trading day. SpaceX's IPO is generating buzz among retail investors. The Elon Musk-led company is expected to allocate 20 percent of shares to retail investors and has drawn roughly $70bn in orders, according to the Reuters news agency. Historically, there is a waiting period between when a company goes public and when it is listed on the Nasdaq-100 index and/or S&P 500.

Accurately modeling pedestrian intention and understanding driver decision-making processes are critical for the development of safe and socially aware autonomous driving systems. However, existing datasets primarily emphasize observable behavior, offering limited insight into the underlying causal reasoning that informs human interpretation and response during traffic interactions. To address this gap, we introduce PSI, a benchmark dataset that captures the dynamic evolution of pedestrian crossing intentions from the driver's perspective, enriched with human-annotated textual explanations that reflect the reasoning behind intention estimation and driving decision making. These annotations offer a unique foundation for developing and benchmarking models that combine predictive performance with interpretable and human-aligned reasoning. PSI supports standardized tasks and evaluation protocols across multiple dimensions, including pedestrian intention prediction, driver decision modeling, reasoning generation, and trajectory forecasting and more. By enabling causal and interpretable evaluation, PSI advances research toward autonomous systems that can reason, act, and explain in alignment with human cognitive processes.

We present SensorLM, a family of sensor-language foundation models that enable wearable sensor data understanding with natural language. Despite its pervasive nature, aligning and interpreting sensor data with language remains challenging due to the lack of paired, richly annotated sensor-text descriptions in uncurated, real-world wearable data. We introduce a hierarchical caption generation pipeline designed to capture statistical, structural, and semantic information from sensor data. This approach enabled the curation of the largest sensor-language dataset to date, comprising over 59.7 million hours of data from more than 103,000 people. Furthermore, SensorLM extends prominent multimodal pretraining architectures (e.g., CLIP, CoCa) and recovers them as specific variants within a generic architecture. Extensive experiments on real-world tasks in human activity analysis and healthcare verify the superior performance of SensorLM over state-of-the-art in zero-shot recognition, few-shot learning, and cross-modal retrieval. SensorLM also demonstrates intriguing capabilities including scaling behaviors, label efficiency, sensor captioning, and zero-shot generalization to unseen tasks.

Crowding the gates of a major health care conference, protesters called for Palantir to be booted out of the UK's National Health Service over privacy concerns and political grievances. Protesters wearing hospital gowns and wielding signs gathered outside a UK health care conference on Thursday to object to a deal between the country's National Health Service and American software company Palantir . At 8 am local time, the group, around 80 people in total, crowded the entryway to the NHS ConfedExpo in Manchester. They wanted to appeal to NHS leadership to terminate a contract worth up to $440 million over concerns around national security, data privacy, and the company's political affiliations . The contract, which includes access to Palantir's data analytics and artificial intelligence services, is intended to run until 2031 but includes a break clause that permits the government to withdraw the agreement next February.

Jemele Hill says she feels'terribly sad' for Karmelo Anthony because his lawyer was white Five of the most unhinged fan theories that make'The Sopranos' a re-watchable masterpiece'Whalefall' trailer is here to add getting swallowed by a sperm whale while SCUBA diving to your list of fears Christopher Nolan's'The Odyssey' uncorks a Trojan Horse popcorn bucket that stores the goods in its crotch New trailer released for upcoming post-apocalyptic thriller'The Dog Stars' with Jacob Elordi'House of the Dragon' Season 3 premiere runtime and details revealed for hit HBO series You're not getting away with watering your grass with your'crank' out on Sheriff Grady Judd's watch Taylor Sheridan's hit CIA/military series'Lioness' gets official season release date on Paramount+ It wasn't on his shopping list, but a man managed to accidentally shoot himself in the groin at Walmart anyway Trump's Iran deal announcement sends markets skyrocketing, oil prices tumble Trump's Iran deal will not change regime's terror behavior, expert warns Paul Mauro: Crockett's weapon argument lacks'basic algebraic logic' Trump says Iran agreement documents are in'final shape,' signing soon Former Navy lieutenant commander says Iran doesn't'have a whole lot to work with' Massive national sporting events fuel market of'illicit trafficking,' says ex-DOJ prosector Doug Burgum praises Trump's leadership on rolling back regulations Iranian oil operations face'nuclear option' as US blockade traps ships Mike Pompeo: A piece of paper is'largely worthless' to the Iranian regime Trump says Iran will sign a deal'by this weekend' A solid WEEK after election night, progressive Nithya Raman has suddenly surged into the lead in LA--leaving voters completely flabbergasted. Few things amaze me like people who can solve a Rubik's Cube. Sure, lots of things amaze me more -- mountains, elaborate water features, how my dog sits on the couch and watches like he's super into it -- but it's a very specific kind of amazement that's like, Man, that's wild; I could never do that... nor do I really care to. But I like that other people are super into it to the point that there's now a Guinness World Record cottage industry of people solving them under different circumstances, and we've got a new top dog when it comes to solving a bunch of them while skydiving. A Rubik's Cube, the ultimate test of dexterity and spinning colored blocks.

OpenAI is in the midst of overhauling ChatGPT . The goal is to transform the chatbot's simple interface into a personalized AI agent that can handle tasks in every facet of your personal and professional life. The company has taken to calling this new product, privately and publicly, a "super app." The all-in-one platform represents one of the biggest bets OpenAI has ever made, and one engineering leader now holds enormous sway over whether it pays off: Thibault Sottiaux. Last month, Sottiaux was appointed OpenAI's head of core products, overseeing both ChatGPT and Codex, as well as combining them into the future super app.

Elon Musk's SpaceX valued at nearly $1.8tn ahead of record share sale SpaceX has raised $75bn (£56bn) from financial firms ahead of it becoming a publicly traded company on Friday, in what is expected to be the highest-value stock listing in history. In a filing with the US Securities and Exchange Commission, the space exploration and artificial intelligence (AI) company said it had sold $75bn in shares priced at $135 each. The share price matches the estimate SpaceX gave last week, leaving the firm's expected initial stock market value to be nearly $1.8tn. At that value, chief executive Elon Musk - already the richest man in the world - is set to become the world's first trillionaire. Once shares start trading, their value could rise or fall depending on how many shares are made available for sale, and how strong the demand is for those shares.

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Cyclic peptides exhibit better binding affinity and proteolytic stability compared to their linear counterparts. However, the development of cyclic peptide design models is hindered by the scarcity of data. To address this, we introduce **CPSea**(**C**yclic **P**eptide **Sea**), a dataset of 2.71 million cyclic peptide-receptor complexes, curated through systematic mining of the AlphaFold Database (AFDB). Our pipeline extracts compact domains from AFDB, identifies cyclization sites using the $\beta$-carbon (C$_\beta$) distance thresholds, and applies multi-stage filtering to ensure structure fidelity and binding compatibility. Compared with experimental data of cyclic peptides, CPSea shows similar distributions in metrics on structure fidelity and wet-lab compatibility. To our knowledge, CPSea is the largest cyclic peptide-receptor dataset to date, enabling end-to-end model training for the first time.