arXiv:2604.15318v1 Announce Type: new Abstract: While traditional game design prioritizes friction-free accessibility, the Soulslike subgenre has achieved commercial dominance through punishing difficulty and frequent failure. This paper challenges the conventional hedonistic paradigm of gaming to investigate the psychological mechanisms behind the Paradox of Failure. By integrating Csikszentmihalyi’s Flow Theory with Juul’s ludological framework, we propose the concept of Resilient Flow. We define this as a cognitive state wherein absorption is maintained not despite frustration but through the meaningful […]

Ver mais

arXiv:2603.22463v1 Announce Type: new Abstract: We study provably correct and efficient instantiations of Sequential Monte Carlo (SMC) inference in the context of formal operational semantics of Probabilistic Programs (PPs). We focus on universal PPs featuring sampling from arbitrary measures and conditioning/reweighting in unbounded loops. We first equip Probabilistic Program Graphs (PPGs), an automata-theoretic description format of PPs, with an expectation-based semantics over infinite execution traces, which also incorporates trace weights. We then prove a finite approximation theorem that […]

Ver mais

Here are Google’s latest AI updates from May 2026

Ver mais

A conceptual companion to Working Code, Wrong Engineering AI can generate code, but engineered software still requires structure: intent, boundaries, scoped generation, contracts, evaluation harnesses, provenance, and accountable architecture. AI’s promise is to remove the complexity of development. When AI starts delivering code, that promise is often understood as a way to skip engineering. The same naive pattern appears elsewhere: asking AI to build the next application from a few vague lines, or expecting an agent with a […]

Ver mais

arXiv:2601.00029v1 Announce Type: new Abstract: This study investigates how generative AI systems interpret the architectural intelligence embedded in vernacular form. Using the Iranian pigeon tower as a case study, the research tests three diffusion models, Midjourney v6, DALL-E 3, and DreamStudio based on Stable Diffusion XL (SDXL), across three prompt stages: referential, adaptive, and speculative. A five-criteria evaluation framework assesses how each system reconstructs typology, materiality, environment, realism, and cultural specificity. Results show that AI reliably reproduces geometric […]

Ver mais

I’m looking for a rational but everything seems to be trial and error: help! Currently I update the weights every 100 steps to learn 10 step tasks. I thought this would be more computationally efficient as I can parallelize environments and have more diverse experience rather than updating after every step which also pressures the GPU. Tips are welcome! submitted by /u/Markovvy [link] [comments]

Ver mais

I am working on a peg-in-hole robotic assembly thesis with a Doosan M1013, ROS2 & an eye-in-hand RGB-D camera. The upstream perception system gives a coarse hole/block pose from stationary RGB-D cameras. Based on prior measurements/error propagation, the pre-insertion uncertainty may be around 3–5 mm average and up to 7–11 mm worst case, with about 1–2° angular error. I want to train a contact-rich insertion policy using vision + force/torque + proprioception, starting from a pre-insert pose about […]

Ver mais