Jul 19, 2023
Welcome to episode #130 of Eye on AI with
Mathew Lodge. In
this episode, we explore the world of reinforcement learning and
code generation. Mathew Lodge, the CEO of Diffblue, shares insights
into how reinforcement learning fuels generative AI.
As we explore the intricacies of reinforcement learning, we uncover
its potential in game playing and guiding us towards solutions. We
shed light on the products that it powers, such as AlphaGo and
AlphaDev. However, we also address the challenges of large language
models and explain why they may not be the ultimate solution for
code generation.
In the last part of our conversation, we delve into the future of
language models and intelligence. Mathew shares valuable insights
on merging no-code and low-code solutions. We confront the
skepticism of software developers towards AI for code products and
the task of articulating program outcomes. Wrapping up, we reflect
on the evolution of programming languages and the impact of
abstraction on machine learning.
(00:00) Preview & sponsorship
(01:51) Reinforcement Learning and Code Generation
(04:39) Reinforcement Learning and Improving Algorithms
(15:32) The Challenges of Large Language Models
(23:58)
Future of Language Models and Intelligence
(35:50) Challenges and Potential of AI-generated Code
(48:32) Programming Language Evolution and Higher-Level
Languages
Craig Smith Twitter: https://twitter.com/craigss
Eye on A.I. Twitter: https://twitter.com/EyeOn_AI