According to Google DeepMind, Waymo has simulated billions of miles across diverse scenarios and weather conditions and combines this with real-world driving to prepare its AI for rare, complex events, source: Google DeepMind on X, Nov 10, 2025. According to Google DeepMind, a new podcast with host FryRsquared and Waymo Distinguished Engineer Vincent Vanhoucke details the driverless car problem, sensors, a 3D model of the world, the closed loop problem, multimodal models, tokenizing, human drivers, safety, and London and the future with explicit timecodes, source: Google DeepMind on X, Nov 10, 2025. According to Google DeepMind, these disclosures provide concrete indicators of Waymo’s technical focus and operating scale that traders can monitor when assessing AI autonomous driving exposure across equities and digital assets, source: Google DeepMind on X, Nov 10, 2025. According to Google DeepMind, the emphasis on multimodal perception and tokenizing supplies specific research vectors and keywords that can inform diligence on AI infrastructure themes, source: Google DeepMind on X, Nov 10, 2025.

According to Jeff Dean on Twitter, Google's open Gemma multimodal AI models have made notable advancements in translating American Sign Language (ASL) to English (source: Jeff Dean, Twitter, May 21, 2025). This technical progress in AI-powered language translation could increase demand for AI-related crypto tokens, as investors look for projects leveraging real-world AI applications to solve accessibility challenges. Traders should monitor AI token price action as adoption of advanced models like Gemma can drive sector momentum, especially for tokens emphasizing multimodal AI and language solutions.

According to DeepLearning.AI, Google's launch of its Gemma 3 family of large language models, including multimodal versions that process text, images, and video, could significantly enhance AI-driven trading tools. Available for free with open weights, these models range from 1B to 27B parameters, and their ability to run on consumer hardware can democratize access to advanced trading algorithms, potentially influencing high-frequency trading strategies and market analysis tools.