digital watch
Adaptive Multi-Agent Reasoning via Automated Workflow Generation
Sami, Humza, Islam, Mubashir ul, Gaillardon, Pierre-Emmanuel, Tenace, Valerio
The rise of Large Reasoning Models (LRMs) promises a significant leap forward in language model capabilities, aiming to tackle increasingly sophisticated tasks with unprecedented efficiency and accuracy. However, despite their impressive performance, recent studies have highlighted how current reasoning models frequently fail to generalize to novel, unseen problems, often resorting to memorized solutions rather than genuine inferential reasoning. Such behavior underscores a critical limitation in modern LRMs, i.e., their tendency toward overfitting, which in turn results in poor generalization in problem-solving capabilities. In this paper, we introduce Nexus Architect, an enhanced iteration of our multi-agent system framework, Nexus, equipped with a novel automated workflow synthesis mechanism. Given a user's prompt and a small set of representative examples, the Architect autonomously generates a tailored reasoning workflow by selecting suitable strategies, tool integrations, and adversarial techniques for a specific problem class. Furthermore, the Architect includes an iterative prompt refinement mechanism that fine-tunes agents' system prompts to maximize performance and improve the generalization capabilities of the system. We empirically evaluate Nexus Architect by employing an off-the-shelf, non-reasoning model on a custom dataset of challenging logical questions and compare its performance against state-of-the-art LRMs. Results show that Nexus Architect consistently outperforms existing solutions, achieving up to a 66% increase in pass rate over Gemini 2.5 Flash Preview, nearly 2.5$\times$ against Claude Sonnet 4 and DeepSeek-R1, and over 3$\times$ w.r.t. Llama 4 Scout.
- North America > United States > Utah > Salt Lake County > Salt Lake City (0.04)
- North America > United States > California > Santa Clara County > Los Gatos (0.04)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Agents (1.00)
- Information Technology > Artificial Intelligence > Natural Language > Large Language Model (1.00)
- Information Technology > Artificial Intelligence > Natural Language > Chatbot (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (1.00)
The Watch That Made Everything Now
The time of our lives begins April 4, 1972. That's the day Hamilton released the first digital watch: the Pulsar Time Computer. Originally designed for a Stanley Kubrick film, the prototype was displayed in 1970 on The Tonight Show with Johnny Carson, although the late-night host was not impressed and mocked the expensive device. He couldn't imagine how much times were about to change. This first digital watch may seem unimpressive by current standards, but its features were novel when it debuted.
- Leisure & Entertainment (0.72)
- Media > Television (0.57)
Casio made a vintage Pac-Man version of its A100 digital watch
Casio has unveiled a new digital watch made in collaboration with Bandai Namco, paying homage to not one but two digital classics from the late '70s and early '80s. The A100WEPC Pac-Man edition has a design based on the Casio's F-100 digital watch from 1978, and celebrates one of the most famous games of all time: Pac-Man. The F-100 was one of the most advanced watches you could buy at the time, offering a stopwatch, digital alarm and calendar features. It was also the first watch with a resin case, as Casio notes in a press release. It's perhaps most famous for being the watch worn by Ripley and other characters from the 1979 movie Alien. At the same time, the watch face features the Pac-Man and ghost characters, with the center illuminator logo rendered with the Pac-Man font.