Microsoft has good news for anyone with corner office ambitions. In the future we're all going to be bosses – of AI employees. The tech company is predicting the rise of a new kind of business, called a "frontier firm", where ultimately a human worker directs autonomous artificial intelligence agents to carry out tasks. Everyone, according to Microsoft, will become an agent boss. "As agents increasingly join the workforce, we'll see the rise of the agent boss: someone who builds, delegates to and manages agents to amplify their impact and take control of their career in the age of AI," wrote Jared Spataro, a Microsoft executive, in a blogpost this week.

The original version of this story appeared in Quanta Magazine. At the beginning of time and the center of every black hole lies a point of infinite density called a singularity. To explore these enigmas, we take what we know about space, time, gravity, and quantum mechanics and apply it to a place where all of those things simply break down. There is, perhaps, nothing in the universe that challenges the imagination more. Physicists still believe that if they can come up with a coherent explanation for what actually happens in and around singularities, something revelatory will emerge, perhaps a new understanding of what space and time are made of.

We introduce squared families, which are families of probability densities obtained by squaring a linear transformation of a statistic. Squared families are singular, however their singularity can easily be handled so that they form regular models. After handling the singularity, squared families possess many convenient properties. Their Fisher information is a conformal transformation of the Hessian metric induced from a Bregman generator. The Bregman generator is the normalising constant, and yields a statistical divergence on the family. The normalising constant admits a helpful parameter-integral factorisation, meaning that only one parameter-independent integral needs to be computed for all normalising constants in the family, unlike in exponential families. Finally, the squared family kernel is the only integral that needs to be computed for the Fisher information, statistical divergence and normalising constant. We then describe how squared families are special in the broader class of $g$-families, which are obtained by applying a sufficiently regular function $g$ to a linear transformation of a statistic. After removing special singularities, positively homogeneous families and exponential families are the only $g$-families for which the Fisher information is a conformal transformation of the Hessian metric, where the generator depends on the parameter only through the normalising constant. Even-order monomial families also admit parameter-integral factorisations, unlike exponential families. We study parameter estimation and density estimation in squared families, in the well-specified and misspecified settings. We use a universal approximation property to show that squared families can learn sufficiently well-behaved target densities at a rate of $\mathcal{O}(N^{-1/2})+C n^{-1/4}$, where $N$ is the number of datapoints, $n$ is the number of parameters, and $C$ is some constant.

Singularity analysis is essential in robot kinematics, as singular configurations cause loss of control and kinematic indeterminacy. This paper models singularities in bar frameworks as saddle points on constrained manifolds. Given an under-constrained, non-singular bar framework, by allowing one edge to vary its length while fixing lengths of others, we define the squared length of the free edge as an energy functional and show that its local saddle points correspond to singular and flexible frameworks. Using our constrained saddle search approach, we identify previously unknown singular and flexible bar frameworks, providing new insights into singular robotics design and analysis.

Text-guided diffusion models have significantly advanced image editing, enabling high-quality and diverse modifications driven by text prompts. However, effective editing requires inverting the source image into a latent space, a process often hindered by prediction errors inherent in DDIM inversion. These errors accumulate during the diffusion process, resulting in inferior content preservation and edit fidelity, especially with conditional inputs. We address these challenges by investigating the primary contributors to error accumulation in DDIM inversion and identify the singularity problem in traditional noise schedules as a key issue. To resolve this, we introduce the Logistic Schedule, a novel noise schedule designed to eliminate singularities, improve inversion stability, and provide a better noise space for image editing.

At SXSW 2025, Will.i.am hyped up FYI.AI as the future of AI-powered messaging. As part of that AI future, Will.i.am demoed the AI personas of his FYI.AI app at Qualcomm's SXSW panel, "AI is the New UI," on Tuesday. Powered by Qualcomm's Snapdragon processor, Will.i.am claimed the goal of these personas was to make AI more relatable, giving it the "flavor and energy" of real people from different communities. "This isn't about replacing culture," Will.i.am said during the panel. "It's about enhancing it, giving people AI that speaks to them in a way that feels natural."

At SXSW 2025, Qualcomm and Will.i.am hyped up FYI.AI as the future of AI-powered messaging. Instead, it delivered something far more awkward -- AI personas that felt uncomfortably close to digital blackface. As part of that AI future, Will.i.am demoed the AI personas of his FYI.AI app at Qualcomm's SXSW panel, "AI is the New UI," on Tuesday. Powered by Qualcomm's Snapdragon processor, Will.i.am claimed the goal of these personas was to make AI more relatable, giving it the "flavor and energy" of real people from different communities. For those unfamiliar, FYI.AI is an AI-powered productivity app for iOS and Android, built for creators. It helps organize projects, manage calendars, summarize group chats, make calls, send messages, and more -- essentially an all-in-one digital assistant meant to replace all your other apps.

Image taken from the front cover of the Future of AI Research report. The Association for the Advancement of Artificial Intelligence (AAAI), has published a report on the Future of AI Research. The report, which was announced by outgoing AAAI President Francesca Rossi during the AAAI 2025 conference, covers 17 different AI topics and aims to clearly identify the trajectory of AI research in a structured way. The report is the result of a Presidential Panel, chaired by Francesca Rossi, and comprising of 24 experienced AI researchers, who worked on the project between summer 2024 and spring 2025. As well as the views of the panel members, the report also draws on community feedback, which was received from 475 AI researchers via a survey.

Years before she became the peculiar central thread linking a double homicide in Pennsylvania, the fatal shooting of a federal agent in Vermont and the murder of an elderly landlord in California, a computer programmer bought a sailboat. The programmer was known to friends, foes and followers as Ziz. She had come to the San Francisco Bay Area in 2016 as part of an influx of young people arriving to study the dangers that artificial intelligence could pose to humanity. In one of the most expensive regions of the United States, however, it is difficult to save the world when you can't make rent. So she bought a boat for 600 and moored it next to a friend's vessel in a marina. For five years, she used it as an occasional, cramped bunk. In her waking hours, she worked on a blog of provocative and increasingly extreme ideas about confrontation and retaliation. At night, she fell asleep as the boat rocked back and forth, drifting with the flotsam of greater Silicon Valley. Then, on the night of 19 August 2022, her sister and a friend reported that they saw her fall overboard. The Coast Guard and local authorities scrambled boats and aircraft. After a nearly 30-hour search, neither Ziz nor her body could be found. A newspaper in Alaska, where she was born, published a short obituary referring to her by her birth name: "Jack Amadeus LaSota left our lives but not our hearts on Aug 19 after a boating accident. Loving adventure, friends and family, music, blueberries, biking, computer games and animals, you are missed." Ziz's ideas did not die in the waters of the California coast. She had faked her drowning and gone underground, before being arrested last month in western Maryland and charged with trespassing and illegal transportation of a firearm. The targets of Ziz's ire, who include some of Silicon Valley's most prominent intellectuals, have taken security precautions. "Ziz is not stupid," someone familiar with her, who asked to remain anonymous, told me. "This is a very smart person – both smart and crazy." Ziz's writing had polarized members of a niche but influential movement of AI theorists and tech bloggers who call themselves the "rationalists". The movement is less about specific ideas than it is about an ethos – applying rigorous, mathematically informed thinking to AI, philosophy, psychology and the big questions of our time. Rationalists are odd, though often charming, people. They tend to be fantasy and sci-fi geeks, use lots of jargon and think intensely about things other people barely think about at all.

The future of artificial intelligence (AI) has been the focus of tech entrepreneurs and financial backers gathered in Doha for the second annual Web Summit hosted by Qatar. The four-day digital technology and emerging innovation summit kicked off its second day on Monday, with attendees eyeing an AI environment being transformed rapidly. Leading entrepreneurs from around the world, including Alexander Wang, founder and CEO of Scale AI, and Alexis Ohanian, co-founder of Reddit and general partner at Seven Seven Six, took centre stage at the event on the opening day. Reporting from Doha, Al Jazeera's Colin Baker said the summit is grappling with questions over the future of AI amid "companies and investors that are changing that landscape more rapidly than we expected". The United States and China are leading in preparedness for AI, said Wang of US company Scale AI.