We study policy optimization for online episodic tabular Markov decision processes with unknown transition kernels, aiming for best-of-both-worlds guarantees together with data-dependent regret bounds. Recent work (Dann et al., 2023; Li et al., 2026) has shown that policy optimization can adapt to both adversarial and stochastic losses with first-order, second-order, and path-length bounds, but only under known transitions, leaving open whether such data-dependent guarantees are achievable by policy optimization when the transition kernel is unknown. We resolve this by developing a new algorithm based on optimistic follow-the-regularized-leader that attains these guarantees under unknown transitions. The key ingredient is a new design of optimistic $Q$-function estimators together with a data-dependent transition bonus that controls estimator bias through the loss-prediction error. Our analysis further identifies an unavoidable transition-dependent complexity term that captures the intrinsic cost of estimating the transition kernel. As a result, we obtain first-order, second-order, and path-length bounds with the transition-dependent complexity term while simultaneously achieving gap-dependent $\mathrm{polylog}(T)$ regret in the stochastic regime.

Daisy's First Headphones Are Premium, High-Quality--and Just a Little Bit Cheaper The California-based startup enters a crowded headphone market with a $399 chiseled-aluminum gamble. Jack Mulroe thinks the premium headphone market is boring. Too focused on black, samey-looking devices; too caught up in the "spec wars" to figure out what the very best headset is . He just wants his California-inspired headphones to help people chill. "I just saw a pattern of there being kind of a dead space, honestly, in the headphone market, where the most recent culturally relevant brand was Beats," Mulroe says.

Netflix used AI to put Gene Wilder's voice into a new reality show Netflix used AI to put Gene Wilder's voice into a new reality show Netflix has worked with ElevenLabs to develop a recreation of Gene Wilder's voice for use in an upcoming unscripted reality show inspired by Roald Dahl's novel . Wilder played chocolate factory owner Willy Wonka in the 1971 film adaptation of the book and the gen-AI version of his voice will be used in a competition program with challenges inspired by the both the book and the film. But as so often happens when I hear about AI-generated imitations of celebrities, my biggest question is: why? The AI-generated version of Wilder's voice appears to be in use in the show's trailer, and it does sound like his take on Willy Wonka. But it's eerie to hear that familiar voice narrating B-roll of a set that looks just like a production exec's idea of whimsy.

Eli Lilly faces a congressional investigation into its China clinical trials at People's Liberation Army hospitals and Xinjiang facilities amid biotechnology competition concerns.

San Francisco's brightest minds are stuffing themselves into hacker houses. The living room of the Accler8 hacker house in San Francisco, where the author stayed for a week. O n a Friday in April, I hopped into an Uber to a fish market in San Francisco with a couple of tech founders on a mission to buy lobsters. Not for dinner, but for science: The duo dreamed of one day altering human consciousness, but they would start by toying around with some crustaceans. They intended to perform neurosurgery on the lobsters in the hopes of controlling them with an AI bot. Leading the way was Elliot Roth, a bearded 32-year-old wearing a black T-shirt with Longevity printed across the chest and a silver chain with a double-helix pendant. To push the boundaries of the five senses, Roth has implanted a magnet in his left ring finger.

This material may not be published, broadcast, rewritten, or redistributed. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset . Powered and implemented by FactSet Digital Solutions . Mutual Fund and ETF data provided by LSEG . Midjourney's wild body scanner scans you in water Debt collection letter for debt you don't owe?

This story appears in the August 2026 print edition. While some stories from this issue are not yet available to read online, you can explore more from the magazine . Get our editors' guide to what matters in the world, delivered to your inbox every weekday. Holly Herndon and Mat Dryhurst believe the future doesn't have to belong to slop. The art was way too heavy. In mid-March, the artists Holly Herndon and Mat Dryhurst were preparing an installation to coincide with the Venice Biennale, the prestigious international art festival, but the execution was becoming tricky. They wanted to suspend sculptures of a trippy cityscape upside down from the ceiling of an 18th-century palazzo. But the construction material they envisioned-- 3-D-printed sand--would weigh tons, which was more than the antique building could bear. The sculptures, they realized, might fall and crush someone. Check out more from this issue and find your next story to read. This was a rather analog problem for a married couple widely seen as technological prophets. Herndon, 46, and Dryhurst, 41, have reached the upper echelons of the art world thanks to a media-spanning output--music, images, software, and reams of commentary--with a cybernetic bent. They are high culture's most influential exponents of artificial intelligence, an invention that many people believe spells doom for the arts but that they think could lead to a renaissance. I met them on a cold, bright Tuesday in Berlin.

The industry ministry announced ¥387.3 billion in funding to develop a domestic foundation model for physical AI that controls robots, aiming to strengthen the country's competitiveness against the United States and China. The industry ministry said Tuesday that it would provide ¥387.3 billion in aid for a project to develop a domestic model that serves as the foundation of a physical artificial intelligence system that controls robots. The ministry aims to make the multimodal foundation model widely available to Japanese companies to help the country catch up with the United States and China in the technology. The project is led by Noetra, a Japanese company founded by firms including telecommunications operator SoftBank, to develop AI models domestically. Engineers from SoftBank and Japanese AI startup Preferred Networks will join the project.

'There's this deep mystery of what, actually, is this thing?': the philosopher inside Google DeepMind AI Since 2017, Iason Gabriel has worked at the tech giant, trying to anticipate - and think through - the impact of AI. But as commercial and geopolitical pressures escalate, can ethicists make any difference? In 2017, a 33-year-old political philosopher named Iason Gabriel was told by a friend that he ought to apply for a job at DeepMind, the London-based subsidiary of Google where much of its AI research was concentrated. The suggestion was not an obvious one. Gabriel was a cheerful but intense junior academic with a passion for Vipassana meditation and what his brother calls "enthusiastic" rock climbing. At the University of Oxford, where he was a fellow at St John's College, Gabriel taught courses on political theory and wrote papers on the moral contortions of "yuppie ethics" and the ethical blind spots of effective altruism. When he wasn't there, he did crisis work for the United Nations Development Programme in Sudan and Lebanon. DeepMind, meanwhile, was the world's leading AI research lab. In part, this was because it had the financial and computational backing of Google, which had bought the company in 2014 for $650m. In part, it was because DeepMind had recently shown it could put those resources to stunning use. In Seoul, in 2016, a DeepMind system called AlphaGo defeated Lee Sedol, a South Korean Go champion, in a five-game match. The victory was significant not least because of Go's legendary complexity; the game has more possible configurations than there are atoms in the universe. Thanks to the fuss around AlphaGo, Gabriel was aware of DeepMind.

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