835: AI Systems as Productivity Engines, with You.com’s Bryan McCann
Nov 12, 2024
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Bryan McCann, Co-founder and CTO of You.com, shares insights from his work in AI and philosophy. He discusses You.com’s innovative 'do engine' that connects users to various language models for optimized search. Bryan predicts AI agents will outnumber humans by 2025, enhancing productivity through automated workflows. He dives into early experiments with AI alignment, the evolution of language models, and their potential applications in biology. The conversation highlights the transformative impact of AI on scientific discovery and human creativity.
You.com's innovative 'do engine' approach enables users to interact with multiple language models, enhancing the online search experience significantly.
The podcast highlights the transformative potential of unified AI models, which improve performance across tasks through cross-task training in natural language processing.
Bryan McCann emphasizes the importance of collaborative relationships between AI technologies and human expertise to enhance productivity while redefining traditional roles.
Deep dives
The Rise of You.com
You.com revolutionizes the online search experience by offering a unique approach known as a 'do engine.' This platform provides users with the ability to access multiple large language models (LLMs) in one place, allowing for a more interactive and customizable search. Users can select from models developed by companies like OpenAI and Anthropic, as well as open-source options. By focusing on model agnosticism, You.com ensures that users can experiment with the latest AI models without restrictive limitations, streamlining their ability to conduct various research and inquiries effectively.
Innovative AI Research Techniques
Brian McCann discusses the development of AI systems that utilize transfer learning across multiple tasks, suggesting that training on one language task can enhance performance on another. This revolutionary approach posits that instead of building separate models for each language activity, a unified model can effectively learn from general linguistic data. The success of such models indicates that understanding the intricacies of language requires a holistic approach that merges various tasks into a cohesive framework. By leveraging cross-task training, researchers can generate more efficient models that reflect the complexity of human language.
AI's Role in Scientific Discovery
The podcast highlights the incredible potential of AI in significant scientific advancements, particularly in the field of protein generation. By repurposing language models originally designed for text generation to create protein sequences, researchers have found that the constraints of one domain can be beneficially applied to another. The ProGen model exemplifies how LLMs can generate novel protein sequences that exhibit enhanced functional capabilities beyond those found in nature. This cross-disciplinary innovation hints at the creative possibilities of leveraging AI to solve complex biological problems, thus expanding our understanding of life sciences.
Navigating the Existential Crisis of AI
Brian shares insights on the existential challenges posed by the rise of advanced AI systems, arguing that humanity's identity may be fundamentally challenged as machines outperform humans in knowledge acquisition and problem-solving. This shift could lead to societal upheaval as jobs are impacted and traditional roles are redefined. Yet, amidst this crisis, Brian expresses optimism, suggesting that humanity could shift its focus to pursuits aligned with creativity, beauty, and meaning. Embracing the role of the observer, rather than mere producers of knowledge, can redefine the purpose of human existence in a world increasingly dominated by AI.
The Future of Collaboration
The conversation underscores the importance of collaborative relationships between AI technologies and human expertise. As organizations adopt tools like You.com for B2B applications, there is a significant push for functionality that enhances productivity through collaboration, data protection, and customization. Companies looking to integrate external AI solutions are encouraged to leverage resources that not only enhance efficiency but also facilitate human interaction with technology. Ultimately, the path forward lies in creating symbiotic relationships where AI acts as a tool to augment human capabilities rather than replace them.
AI systems are evolving rapidly, and in this episode, Bryan McCann, CTO of You.com, explains You.com’s unique approach to search, the impact of AI-driven research, and the game-changing potential of AI agents. With a background in natural language processing and philosophy, Bryan joins Jon Krohn to share a fresh perspective on where AI is headed and what it means for the future of work and scientific discovery.
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In this episode you will learn:
(03:55) How You.com’s “do engine” approach connects users to multiple language models
(11:34) How AI systems at You.com generate optimized, intent-driven queries for better results
(28:39) You.com’s focus on automated workflows sets it apart from other platforms
(31:31) AI agents in You.com, with Bryan predicting they’ll outnumber people by 2025
(41:49) Bryan’s path to unified AI models that can perform diverse tasks
(50:40) Early experiments with alignment in AI that influenced modern transformers
(01:04:45) Bryan’s research on controllable text generation
(01:11:27) Language models applied to protein generation, linking text and biology sequences