Vanishing Gradients
Episode 41: Beyond Prompt Engineering: Can AI Learn to Set Its Own Goals?
Dec 30, 2024
Ben Taylor, CEO of VEOX Inc., Joe Reis, co-founder of Ternary Data, and Juan Sequeda, Principal Scientist at Data.World, discuss the evolution of AI from prompt engineering to goal engineering. They explore whether generative AI is more akin to an electrifying revolution or a blockchain phase. The panel highlights the importance of tackling the POC-to-production gap, understanding AI's failure modes, and balancing executive enthusiasm with employee workload. They also examine how AI's combinatorial abilities can redefine strategies, paralleling the success of AlphaZero in gaming.
43:51
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Quick takeaways
- The transition from prompt engineering to goal engineering enables AI to explore creative solutions, enhancing problem-solving efficiency.
- There's a notable gap between executive optimism about AI's productivity and the actual increased workloads experienced by employees during implementations.
Deep dives
Transformative Potential of Generative AI
Generative AI is being compared to past transformative technologies such as electricity and the internet. While some argue it resembles blockchain due to hype exceeding substance, others see it as a moment similar to the web's emergence, which fundamentally altered everyday tasks and interactions. Experts suggest that if generative AI is given well-defined goals, it can autonomously explore numerous solutions, potentially outpacing human problem-solving capacities by leveraging rapid testing and iteration. For instance, the gaming AI AlphaZero is spotlighted for mastering chess and Go by discovering new strategies through massive combinatorial exploration.
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