The AI giant is worried about what all-powerful bots could mean for our constitutional rights. Late last month, OpenAI launched a rather grand mission: nothing less than defending individual political freedom in an age of all-powerful machines. The company's "Strategic Futures" team has styled itself, in a sense, as inheriting the task of America's Founding Fathers: "We labor in service of the ideals of free expression and individual liberty that are enshrined in the humble parchment of the U.S. Constitution," Dean Ball, the team's leader, wrote in a new OpenAI blog post. Ball worries that advanced AI could radically concentrate power in the hands of those who control it, displacing labor in ways that disempower humans. In an extreme scenario, governments will have no need to listen to their citizens if there are robots to wage wars and omniscient software to run the bureaucracy.

Look Up Trending Now Good Connection: Uplifting stories for a digital age Creator Playbook Say More Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Switch Off Mashable Voices Mashable Selects Safety Net Versus Gift Ideas For Everyone On Your List All Series The U.S. Open has an influencer problem. But creators are not solely to blame. Ring lights, outfit shoots, and expensive suites have turned the tournament into the latest target of influencer fatigue. Olivia Tauber is the deputy editor of digital culture, covering creators, media, movies, beauty, and more. Based in New York, her work has appeared in The New York Times, Vanity Fair, The Cut, Teen Vogue, Complex, and Interview Magazine. She holds a Master's degree in Journalism from NYU and a Bachelor's from the University of Michigan. She also runs Fan Mail, a weekly pop-culture newsletter.

Does AI actually belong in an art museum? For several months, something discomfiting has been creeping onto San Francisco's lampposts, bulletin boards, and restaurant windows: more and more signs, for run clubs and a July 4 parade and tacos, all of which are obviously entirely produced by generative AI. But does it bother me? A ChatGPT-generated poster for a garage sale seems legitimately dispiriting compared with a handwritten flyer, or even a haphazardly formatted Word document. What about a bodega using an AI-generated image of a hamburger instead of a random piece of clip art pulled from the internet?

Reddit's human content wins amid the AI flood For Ines Tan there's one particular site she turns to again and again for advice - and that's Reddit. Tan, who works in communications, regularly jumps on the site for skincare advice, to view reactions to shows she watches, such as The Traitors, and for help planning her upcoming wedding in May. It's a very empathetic place, she says of Reddit. For my wedding, I've found help emotionally, logistically and inspiration-wise. Tan believes people are consulting the online discussion platform more as they're craving human interaction in the world of increasing AI slop.

There's no need for an expensive retreat to practice meditation. Try it on your lunch break to recharge your mind and body. Launching straight back into work in the New Year can be challenging, but learning how to meditate can help you stay focused. Feel free to roll your eyes right about now, but numerous studies have shown that meditation can boost creativity, improve sleep quality, and manage stress . "Meditation is a practice to calm the brain by recentering our attention, most often on our breath," says Mel Mah, an instructor at the meditation app Calm .

Hannah Wong told staff she is moving on to her “next chapter.” The company will be running an executive search to find a replacement, according to a memo.

Using a martingale representation, we introduce a novel deep-learning approach, which we call DeepMartingale, to study the duality of discrete-monitoring optimal stopping problems in continuous time. This approach provides a tight upper bound for the primal value function, even in high-dimensional settings. We prove that the upper bound derived from DeepMartingale converges under very mild assumptions. Even more importantly, we establish the expressivity of DeepMartingale: it approximates the true value function within any prescribed accuracy $\varepsilon$ under our architectural design of neural networks whose size is bounded by $\tilde{c}\,D^{\tilde{q}}\varepsilon^{-\tilde{r}}$, where the constants $\tilde{c}, \tilde{q}, \tilde{r}$ are independent of the dimension $D$ and the accuracy $\varepsilon$. This guarantees that DeepMartingale does not suffer from the curse of dimensionality. Numerical experiments demonstrate the practical effectiveness of DeepMartingale, confirming its convergence, expressivity, and stability.

We propose and analyze a continuous-time robust reinforcement learning framework for optimal stopping problems under ambiguity. In this framework, an agent chooses a stopping rule motivated by two objectives: robust decision-making under ambiguity and learning about the unknown environment. Here, ambiguity refers to considering multiple probability measures dominated by a reference measure, reflecting the agent's awareness that the reference measure representing her learned belief about the environment would be erroneous. Using the $g$-expectation framework, we reformulate an optimal stopping problem under ambiguity as an entropy-regularized optimal control problem under ambiguity, with Bernoulli distributed controls to incorporate exploration into the stopping rules. We then derive the optimal Bernoulli distributed control characterized by backward stochastic differential equations. Moreover, we establish a policy iteration theorem and implement it as a reinforcement learning algorithm. Numerical experiments demonstrate the convergence and robustness of the proposed algorithm across different levels of ambiguity and exploration.

Singapore's Prime Minister Lawrence Wong said jobs for citizens will be the government's top priority as the city-state faces risks from rising global trade barriers and artificial intelligence. The impact of the U.S.-China rivalry, President Donald Trump's tariff war and threats to workers from new technologies were the key challenges Wong highlighted in his annual National Day Rally speech on Sunday, marking the country's 60th year. "This next chapter opens in a more troubled and turbulent world," Wong said.

For more than 20 years, print media has been a bit of a punching bag for digital-technology companies. Craigslist killed the paid classifieds, free websites led people to think newspapers and magazines were committing robbery when they charged for subscriptions, and the smartphone and social media turned reading full-length articles into a chore. Now generative AI is in the mix--and many publishers, desperate to avoid being left behind once more, are rushing to harness the technology themselves. Several major publications, including The Atlantic, have entered into corporate partnerships with OpenAI and other AI firms. Any number of experiments have ensued--publishers have used the software to help translate work into different languages, draft headlines, and write summaries or even articles.