Naveen Rao, founder of MosaicML, discusses the efficiency of the human brain, slashing the cost to train AI models, the evolution of the car, selling to Databricks, the future of the AI market, and more.
Mosaic ML has developed efficient algorithms that optimize compute usage, making AI model training more cost-efficient and accessible to smaller developers.
The future of AI relies on deeper understanding of learning mechanisms and the development of systems that can experience real-world consequences.
Deep dives
Apple Watch Series 9: A New Way to Use Your Apple Watch
The latest Apple Watch Series 9 introduces a touchless feature that allows users to control the watch by simply double tapping their index finger and thumb. This feature enables users to accept calls, snooze alarms, and even pause songs without physically touching the watch's display. The advancement in touchless technology provides users with a more seamless and intuitive experience when interacting with their Apple Watch.
Mosaic ML: Advancing AI Model Training with Cost Efficiency
Mosaic ML, a startup recently acquired by Databricks, has made significant strides in the field of AI model training. Traditionally, training large-scale AI models has been expensive and accessible only to well-funded companies. However, Mosaic ML has demonstrated that powerful AI models can be built and trained at a fraction of the cost. They have developed efficient algorithms that optimize compute usage, focusing on data points that truly matter and utilizing lower precision math where possible. By making AI model training more cost-efficient, Mosaic ML offers opportunities for smaller developers and promotes broader innovation and competition in the AI field.
The Future of AI: Moving Towards Autonomous Systems
In a conversation with NaVin Rao, the founder of Mosaic ML and now part of Databricks, the future of AI and its potential impact is discussed. While current AI systems, such as large language models, serve as powerful tools that augment human capabilities, true autonomous intelligence is still a significant step away. The ability to create machines that can autonomously solve complex problems and engage in reasoning will require deeper understanding of learning mechanisms and the development of systems that can experience real-world consequences. However, as advancements continue to be made in efficiency and learning algorithms, the future holds great potential for the integration of AI-powered systems, such as robots, into various industries and sectors.
Preparing for the AI-Driven Future: Cultivating Intellectual Curiosity
As the world continues to move towards a more AI-driven future, it becomes crucial to prepare the next generation for the challenges and opportunities ahead. Rather than focusing solely on specific fields of study, such as computer science, it is important to cultivate intellectual curiosity and a deep understanding of problems. Encouraging tenacity, critical thinking, and the ability to prioritize tasks will equip individuals with the skills needed to navigate and contribute to the rapidly evolving AI landscape. By fostering a mindset of continuous learning and exploration, the future generation can seize the potential of AI and drive meaningful innovation in various domains.
The Sunday Times’ tech correspondent Danny Fortson brings on Naveen Rao, founder of MosaicML, to talk about the efficiency of the human brain (3:30), slashing the cost to train AI models (8:00), how this is like the evolution of the car (11:40), selling to Databricks (14:30), how the AI market will evolve (17:00), the fallacy of AI doomerism (21:00), growing up in eastern Kentucky (22:30), plunging into the dotcom boom (24:50), why he studied neuroscience (27:10), selling his previous startup to Intel (32:00), solving intelligence (34:40), and what he tells his kids about the future (40:00).
