According to @GoogleDeepMind, Waymo's AI has achieved significant advancements by simulating billions of miles in various driving scenarios and weather conditions, in addition to real-world testing. This large-scale data enables Waymo’s self-driving technology to handle rare and complex events, improving autonomous vehicle safety and reliability. The podcast discussion with Waymo's Distinguished Engineer Vincent Vanhoucke highlights the use of 3D world modeling, multimodal models, and advanced sensor technologies, positioning Waymo as a leader in scalable, safe autonomous driving solutions (Source: @GoogleDeepMind).

According to Andrej Karpathy, the AI industry is witnessing a significant shift towards developing 'cognitive core' large language models (LLMs) with a few billion parameters that prioritize real-time capability over encyclopedic knowledge. These streamlined models are designed to run natively, always-on, and by default on every personal computer, serving as the kernel of LLM-powered personal computing. Their emerging features include native multimodality, efficient memory usage, and integration with local applications, which open up new business opportunities for edge AI solutions, privacy-focused AI assistants, and custom enterprise deployments (source: Andrej Karpathy, Twitter, June 27, 2025).