The podcast discusses new research showing that reinforcement learning using AI feedback can perform as well as human feedback. It also covers the rise of AI-generated content, the signing of the first AI pop singer, and the potential benefits of using reinforcement learning from artificial intelligence.
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Quick takeaways
In silico medicine has developed an AI-generated COVID drug called ISM3312, which has shown advantages such as effectiveness against Pax-Lovid-resistant variants, increased stability, and longer duration of action.
Studies suggest that between 38% and 65% of jobs in Las Vegas could be automated by 2035, leading unions to negotiate new contracts with protections against job replacement by AI.
Deep dives
AI-generated COVID drug enters Phase 1 trials
In silico medicine has developed a new AI-generated COVID drug called ISM3312, which has entered Phase 1 clinical trials. The drug is an alternative to Pax-Lovid and has shown advantages such as effectiveness against Pax-Lovid-resistant variants, increased stability and longer duration of action. In silico used its target discovery platform, Pandaomics, to identify the target protein in the coronavirus, and its generative chemistry platform, Chemistry 42, to generate molecules that attack the protein. Results from the trials are expected at the end of the year.
Las Vegas unions prepare for AI-related job automation
AI is quickly infiltrating Las Vegas, and studies suggest that between 38% and 65% of jobs in the city could be automated by 2035. Unions in Las Vegas, including the culinary union representing 60,000 service and hospitality workers, are closely monitoring these changes. The union aims to negotiate a new contract with protections against job replacement by AI. The future of work and the adaptation of economic and community strategies to address the disappearance of certain jobs are key considerations.
Google research explores reinforcement learning with AI feedback
Google's research paper titled 'RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback' examines reinforcement learning from artificial intelligence feedback (RLAIF) compared to reinforcement learning from human feedback (RLHF). The study focuses on summarization as the task and highlights that RLAIF achieves comparable performance to RLHF. Both methods were equally preferred by human judges. RLAIF shows potential for scalability and addresses the drawbacks of human labeling. However, further research is needed to assess generalizability, cost comparisons, and potential improvements when combining RLHF and RLAIF.
Today on The AI Breakdown, NLW looks at new research from Google that shows that reinforcement learning using artificial intelligence rather than human feedback could perform as well as RLHF. Before that on the Brief: the first AI pop singer gets a record deal; an AI-produced covid drug moves to phase 1 trials, and more.
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