In the race to achieve Artificial General Intelligence (AGI), many focus solely on training larger models, but true advancements lie closer to reality. This insight challenges the conventional wisdom in AI infrastructure.
Key Points:
- Data Overhauls: The belief that “data is the new oil” is outdated—true value comes from unique, proprietary data collected from physical environments, not just web-scraped datasets.
- The Physical Stack: Sensors and devices—cameras, accelerometers, lidar—are crucial. They capture the raw realities that AI needs to interact effectively with the world.
- Integration Work: The tedious, essential task of connecting AI with physical data remains largely unacknowledged but is vital. Without it, models are akin to blind philosophers.
Future Insights:
- Companies that master the integration of AI with connected physical entities will lead the next wave of innovation.
Join the conversation about bridging AI technology with the real world! Share your thoughts on this perspective.
