Top 10 Hacker News — Top Stories — August 8, 2026

In a delightful display of ingenuity, a Dutch physicist named Thijs de Buck rigged his pet hamster's wheel to upload its activity directly to Strava. His hamster, Mollie, has become a running sensation, regularly logging an average of 10 kilometers every night. This impressive feat vastly outperforms many human runners, with Mollie achieving a personal best of 11.15 kilometers. De Buck's setup involves an ESP32 microcontroller and a hall sensor, detecting each 65-centimeter rotation of the wheel and relaying the data for conversion into a .FIT file and subsequent Strava upload. Mollie’s Strava account garners around a thousand 'kudos' (Strava's equivalent of likes) per run, significantly more than the roughly 40 kudos De Buck typically receives for his own marathon training efforts, highlighting Mollie’s unexpected stardom in the running community.

DeepSeek V4 Flash 0731 emerges as a significant advancement in open-weight foundation models, superseding its preview version with substantially enhanced agentic capabilities. This Mixture-of-Experts model boasts 284 billion total parameters, with 13 billion activated per token, and an impressive 1-million-token context window. It notably outperforms the DeepSeek-V4-Pro (Preview) on various benchmarks, despite having a far smaller activated parameter count, and is competitive with leading proprietary models. The 0731 release focuses on post-training optimizations, leading to considerable gains in coding, tool-use, and automation benchmarks. For example, on the DeepSWE benchmark for resolving real repository issues, an independent evaluator confirmed improvements, with the model also demonstrating a 12% reduction in output tokens needed for comprehensive evaluations compared to its predecessor.