#47: Huge Google AI Updates, Teaching Large Language Models to Have Values, and How AI Will Impact Productivity and Labor

Another week of big news from Google Google just announced major AI updates, including an AI makeover of search. The updates were announced at Google’s I/O developers conference and some of the more important updates were discussed on the podcast. A new next-generation large language model called PaLM 2, “excels at advanced reasoning tasks, including code and math, classification and question answering, translation and multilingual proficiency better than our previous state-of-the-art LLMs.” Next, an AI makeover of search through Google’s “Search Generative Experience” will deliver conversational results to search queries. This will become available to users who sign up for Google’s Search Labs sandbox. Additional improvements include new AI writing tools for Gmail, the removal of the waitlist for Bard, and the ability to create full documents, generate slides, and fill in spreadsheets across tools like Docs, Slides, and Sheets. What’s next for Claude Anthropic, a major AI player and creator of the AI assistant “Claude,” just published research that could have a big impact on AI safety. In the research, the company outlines an approach they’re using “Constitutional AI,” or the act of giving a large language model “explicit values determined by a constitution, rather than values determined implicitly via large-scale human feedback.” This concept is designed to address the limitations of large-scale human feedback, which traditionally determines the values and principles of AI behavior. It aims to enhance the transparency, safety, and usefulness of AI models while reducing the need for human intervention. The constitution of an AI model consists of a set of principles that guide its outputs, and in Claude’s case, encourages the model to avoid toxic or discriminatory outputs, refrain from assisting in illegal or unethical activities, and aim to be helpful, honest, and harmless. Anthropic emphasizes that this living document is subject to revisions and improvements based on further research and feedback. More on the economy and knowledge workers In a recent Brookings Institution article titled, Machines of Mind: The Case for an AI-powered Productivity, the authors explore the potential impact of AI, specifically large language models (LLMs), on the economy and knowledge workers. The authors predict LLMs will have a massive impact on knowledge work in the near future. They say: “We expect millions of knowledge workers, ranging from doctors and lawyers to managers and salespeople to experience similar ground-breaking shifts in their productivity within a few years, if not sooner.” The productivity gains from AI will be realized directly through output created per hour worked (i.e. increased efficiency), and indirectly through accelerated innovation that drives future productivity growth. The authors say they broadly agree with a recent Goldman Sachs estimate that AI could raise global GDP by a whopping 7%. But there’s more to it, so be sure to tune in. Listen to the full episode of the podcast: https://www.marketingaiinstitute.com/podcast-showcase Want to receive our videos faster? SUBSCRIBE to our channel! Visit our website: https://www.marketingaiinstitute.com Receive our weekly newsletter: https://www.marketingaiinstitute.com/newsletter-subscription Looking for content and resources? Register for a free webinar: https://www.marketingaiinstitute.com/resources#filter=.webinar Come to our next Marketing AI Conference: www.MAICON.ai Enroll in AI Academy for Marketers: https://www.marketingaiinstitute.com/academy/home Join our community: Slack: https://www.marketingaiinstitute.com/slack-group-form LinkedIn: https://www.linkedin.com/company/mktgai Twitter: https://twitter.com/MktgAi Instagram: https://www.instagram.com/marketing.ai/ Facebook: https://www.facebook.com/marketingAIinstitute