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Could aliens ever visit Earth? An aerospace scientist unpacks the challenges of interstellar spaceflight.

Popular Science

Science Space Could aliens ever visit Earth? The universe is vast and teeming with stars - but if intelligent life exists, it may not be able to visit Earth. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. On May 22, 2026, the Pentagon released a second batch of previously classified photos and videos showing what appear to be unexplained flying objects. These file dumps were the culmination of a process that was set in motion back in July 2023, when a group of government whistleblowers testified before Congress that the U.S. government was secretly in possession of extraterrestrial spacecraft and suspected alien body parts.


These Robots Are Making Meals for a Nonprofit in San Francisco's Tenderloin

WIRED

These Robots Are Making Meals for a Nonprofit in San Francisco's Tenderloin A nonprofit in the city's most troubled district has turned to robotic meal prep tech to make up for a dearth of human volunteers. Project Open Hand, a nonprofit founded in 1985 by local grandmother and HIV-awareness advocate Ruth Brinker, prepares and packages meals to meet the diverse nutritional requirements of people who need them. The effort began in response to the AIDS crisis, but the nonprofit has since expanded the meals it makes for people with conditions such as heart disease, diabetes, or chronic kidney disease. But it takes many people to make these meals, and Project Open Hand has struggled to entice volunteers to help fill the meal kits. The organization is housed in a four-story building in San Francisco's Tenderloin district.


All Vehicles Sold in the EU Must Be Able to Hook Up to a Breathalyzer

WIRED

The measure is part of a European Union-led strategy to eliminate all drunk-driving-related deaths and injuries by 2050. As of July 1, all vehicles sold within the European Union must include a standard, preinstalled interface that allows a breathalyzer lock to be added to the ignition system. This measure is part of a larger strategy promoted by the EU to reduce drunk-driving-related deaths and injuries by at least 50 percent by 2030. The requirement falls under the Vision Zero program, launched by European authorities more than five years ago, which aims to eliminate alcohol-related traffic fatalities entirely--or get as close to zero as possible--by 2050. The measure also aligns with the timetable established in the EU's General Safety Regulation, which sets specific deadlines for manufacturers to incorporate various safety features into vehicle designs, starting at the factory.


Why Does Agentic Safety Fail to Generalize Across Tasks?

arXiv.org Machine Learning

AI agents are increasingly deployed in multi-task settings, where the task to perform is specified at test time, and the agent must generalize to unseen tasks. A major concern in such settings is safety: often, an agent must not only execute unseen tasks, but do so while avoiding risks and handling ones that materialize. Empirical evidence suggests that even when the ability to execute generalizes to unseen tasks, the ability to do so safely frequently does not. This paper provides theory and experiments indicating that failures of agentic safety to generalize across tasks are not merely due to limitations of training methods, but reflect an inherent property of safety itself: the relationship between a task and its safe execution is more complex than the relationship between a task and its execution alone. Theoretically, we analyze linear-quadratic control with $H_{\infty}$-robustness, and prove that the mapping from task specification to an optimal controller has higher Lipschitz constant with safety requirements than without, yielding a Lipschitz bound of independent interest. Empirically, we demonstrate our conclusions in simulated quadcopter navigation with a neural network agent and in CRM with an LLM agent. Our findings suggest that current efforts to enhance agentic safety may be insufficient, and point to a need for fundamentally different approaches.


The balcony solar boom is coming to the US

MIT Technology Review

Plug-in panels are getting popular--how do we make sure they're safe? Dozens of US states are considering legislation to allow people to install plug-in solar systems, often called balcony solar. These small arrays require little to no setup and could help cut emissions and power bills. Balcony solar is already popular in Europe, and proponents say that the systems could make solar power more accessible for more people in the US, including renters. As popularity rises, though, some experts caution that there are safety concerns with how balcony solar would work with existing electrical equipment in homes. Let's talk about what balcony solar is, why it's unique, and how new testing requirements could affect our progress toward deploying the technology in the US.


Telehealth Abortion Is Still Possible Without Mifepristone

WIRED

Courts may restrict access to the popular abortion medication mifepristone in the United States. Telehealth providers have backup plans in place. Abortion provider Carafem's phones were ringing nonstop over the weekend after a US federal appeals court reinstated a nationwide requirement that the drug mifepristone, one of two pills used for a medication abortion, must be obtained in person. The decision, handed down on Friday, left patients unsure if they could gain access to their treatment through telehealth. "People are afraid, and they're angry," says Carafem's chief operations officer, Melissa Grant. "I had people contact us saying, .


Design, Cups, and Blankets. A Free-Energy-Principle-Based Approach to Product Design

arXiv.org Machine Learning

Classical design theory treats the type of an object as a given: the designer decides in advance that this will be a cup, then optimizes its parameters. This paper argues that object type is not a presupposition but an inference, something that can be determined from physical data and functional requirements jointly. We call this problem requirement-steered interface type inference and show that it is inexpressible within existing design frameworks. This paper makes two contributions that are jointly necessary and individually incomplete. The first is the problem itself, which classical design cannot pose because it presupposes the very thing our problem seeks to determine. The second is C-DMBD, a constrained extension of the Dynamic Markov Blanket Detection algorithm, which makes requirement-steered inference computationally tractable. Drawing on the free-energy principle and active inference, established frameworks in theoretical neuroscience and Bayesian mechanics, we model a product's surface as a Markov blanket: the minimal boundary through which all causal exchange between object and environment must pass. Different blanket structures correspond to different object types; different parameterizations of the same structure correspond to different functional modes of the same type. This paper is a proof of concept and a theoretical proposal. It reframes design as inference rather than optimization, and as a relation between generative models rather than a specification of parameters.




Appendix

Neural Information Processing Systems

We first introduce some handy concepts and results to make the proof succinct, meanwhile providing more information for understanding our model and theory. We begin with some extended discussions on CSG. Note that a reparameterization unnecessarily has its output dimensions in S, i.e. The condition that p(y|s) = p0(y|ΦS(s,v)) for any v V does not indicate that ΦS(s,v) is constant of v, since p0(y|s0) may ignore the change of s0 = ΦS(s,v) from the change of v. The following lemma shows the meaning of a reparameterization: it allows a CSG to vary while inducing the same distribution on the observed data variables (x,y) (i.e., holding the same effect on describing data). We can now define and verify an equivalent relation on CSGs so that the resulting equivalent class contains CSGs that induce the same (x,y) data distribution and hold the same semantic information in their svariables. We say two CSGs pand p0 are semantic-equivalent, if there exists a homeomorphism11 Φ on S V, such that (i) is semantic-preserving: its output dimensions in S is constant of v, ΦS(s,v) = ΦS(s) for any v V, and (ii) it acts as a reparameterization from p to p0: Φ#[ps,v] = p0s,v, p(x|s,v) = p0(x|Φ(s,v)) and p(y|s) = p0(y|ΦS(s)). A.1 below shows that the defined binary relation is indeed an equivalence relation in common cases. As a reparameterization, Φ allows the two models to have different latent-variable parameterizations while inducing the same distribution on the observed data variables (x,y) (Lemma 9). This definition of semantic-equivalence can be rephrased as the existence of a semantic-preserving reparameterization. With proper model assumptions, we can show that any reparameterization between two CSGs is semantic-preserving, so that semantic-preserving CSGs cannot be converted to each other by a reparameterization that mixes swith v. Lemma 11. For two CSGs pand p0, if p0(y|s) has a statistics M0(s) that is an injective function of s, then any reparameterization Φ from pto p0, if exists, has its ΦS constant of v. Proof. Then the condition that p(y|s) = p0(y|ΦS(s,v)) for any v V indicates that M(s) = M0(ΦS(s,v)). If there exist s S and v(1) 6= v(2) V such that ΦS(s,v(1)) 6= ΦS(s,v(2)), then M0(ΦS(s,v(1))) 6= M0(ΦS(s,v(2))) 11A transformation is a homeomorphism if it is a continuous bijection with continuous inverse. This violates M(s) = M0(ΦS(s,v)) which requires both M0(ΦS(s,v(1))) and M0(ΦS(s,v(2))) to be equal to M(s). We then introduce two mathematical facts. Let z be a random variable on a Euclidean space RdZ with density function pz(z), and let Φ be a homeomorphism on RdZ whose inverse Φ 1 is differentiable.