Evidence is mounting that Elon Musk's decision to deny Russian forces access to his Starlink satellite-based internet service has blunted Moscow's advance, caused confusion among Russian soldiers and handed an advantage to Ukraine's defenders. And what can Ukraine's military achieve in the meantime? The Russians lost their ability to control the field, a Ukrainian drone operator who goes by the callsign Giovanni told us. I think they lost 50% of their capacity for offence, he said. That's what the numbers show.

WIRED spoke with the Zoomer founders of a platform where AI agents hire humans to do real-world tasks. Their pitch: People would love to have a clanker as their boss. For centuries, people have catastrophized about robots taking away jobs. On February 1, the paradigm shifted: bots are jobs. Now, 518,284 humans--and rapidly counting--are offering their labor to AI agents on a new online marketplace called RentAHuman . There are classifieds to count pigeons in Washington ($30/hour); deliver CBD gummies ($75/hour); play exhibition badminton ($100/hour); and anything else you could possibly imagine that a disembodied agent couldn't do.

Reaching consensus and convergence to equilibrium are two major challenges of multi-agent systems. Although each has attracted significant attention, relatively few studies address both challenges at the same time. This paper examines the connection between the notions of consensus and equilibrium in a multi-agent system where multiple interacting sub-populations coexist. We argue that consensus can be seen as an intricate component of intra-population stability, whereas equilibrium can be seen as encoding inter-population stability. We show that smooth fictitious play, a well-known learning model in game theory, can achieve both consensus and convergence to equilibrium in diverse multi-agent settings. Moreover, we show that the consensus formation process plays a crucial role in the seminal thorny problem of equilibrium selection in multi-agent learning.

Why was El Paso airspace shut down? US president's son Eric Trump invests in drone maker with gov't contracts United States President Donald Trump's son Eric is investing in an Israeli drone manufacturer, prompting renewed conflict-of-interest concerns as the Trump family expands its business holdings during its patriarch's second term as president. Eric Trump is investing in a $1.5bn merger between Israeli drone maker Xtend and Florida-based JFB Construction Holdings, a small construction company, in a deal aimed at taking Xtend public this year, JFB said in a news release on Tuesday. Drone maker Unusual Machines, which tapped Eric's brother Donald Trump Jr in November 2024 as an adviser, is also investing in the merger, JFB said. JFB builds commercial and residential properties, including multifamily communities and shopping centres.

This procedure can leverage noisy, asynchronous human feedback to learn policies with no hand-crafted reward design or exploration bonuses.

Hyperparameter optimization is an important subfield of machine learning that focuses on tuning the hyperparameters of a chosen algorithm to achieve peak performance. Recently, there has been a stream of methods that tackle the issue of hyperparameter optimization, however, most of the methods do not exploit the dominant power law nature of learning curves for Bayesian optimization. In this work, we propose Deep Power Laws (DPL), an ensemble of neural network models conditioned to yield predictions that follow a power-law scaling pattern. Our method dynamically decides which configurations to pause and train incre-mentally by making use of gray-box evaluations.