A recent social media post by Jason Carman has drawn a compelling parallel, stating that "Ti is doing for deep tech what Dwarkesh did for AI." This analogy highlights the significant, enabling roles played by both Texas Instruments (Ti) in the realm of deep technology and Dwarkesh Patel in shaping the public understanding and discourse surrounding artificial intelligence.
Deep technology, or deep tech, refers to innovations rooted in profound scientific discoveries or engineering breakthroughs, often requiring extensive research and development before commercialization. These technologies, unlike conventional tech focused on incremental improvements, aim to solve complex global challenges and have transformative potential across various industries. Fields such as AI, quantum computing, biotechnology, and advanced materials fall under this umbrella.
Texas Instruments, a global semiconductor company, exemplifies a foundational contributor to deep tech. Their semiconductors are critical components in a vast array of advanced systems. A notable recent instance is their role in powering the NASA-ISRO Synthetic Aperture Radar (NISAR) satellite, launched to monitor ecosystems, natural hazards, and climate change. As Elizabeth Jansen, TI India’s sales and applications director, stated, "TI’s radiation-hardened and radiation-tolerant semiconductors are ready to meet the evolving demands of the space market.” This demonstrates Ti's enabling position, providing the underlying hardware that makes cutting-edge deep tech applications possible.
Similarly, Dwarkesh Patel has emerged as a significant voice in the artificial intelligence landscape. Through his widely acclaimed podcast and his book, "The Scaling Era: An Oral History of AI, 2019-2025," Patel has become known for his deeply researched and technical explorations of AI. He engages in in-depth conversations with leading figures in the field, synthesizing complex concepts and making them accessible to a broader audience. His influence stems from his ability to dissect the nuances of AI development, from algorithmic progress to the societal implications of advanced AI systems.
The comparison suggests that just as Patel has elucidated and advanced the understanding of AI, Texas Instruments provides the essential, often unseen, technological bedrock for deep tech innovations. Their contributions are not always in the form of end-user products but rather in the critical components that empower other innovators to build revolutionary deep tech solutions. This parallel underscores the profound, yet sometimes understated, impact of foundational technology providers and influential commentators in their respective domains.