How AI Models Are Learning to Plan Like Humans

What this episode covers

Lucas and Luna dig into the latest breakthrough in artificial intelligence: chain-of-thought reasoning and planning capabilities in large language models. They explore how models like OpenAI's o3 and DeepSeek-R1 are moving beyond pattern matching to deliberate problem-solving, using real examples from math competitions and coding challenges. The hosts discuss the implications for enterprise software, referencing recent gains in stocks like ServiceNow (up 20.9% in a week) and Snowflake (up 47.3%), and examine why this shift matters for productivity tools. Lucas explains how chain-of-thought works, why it's different from previous approaches, and what it means for jobs that require complex decision-making. Luna questions whether this is true reasoning or just better mimicry. The episode also touches on the energy cost of these deeper reasoning models and how companies like Groq are building chips optimized for inference. A concrete, accessible look at one of the most important AI developments of 2026. #ChainOfThought #Reasoning #LLMs #AIProductivity #OpenAI #DeepSeek #ServiceNow #Snowflake #Groq #Inference #Planning #EnterpriseAI #Technology #AIJobs #FexingoBusiness #BusinessPodcast #GenerativeAI #MachineLearning Keep every episode free: buymeacoffee.com/fexingo

PodParley-generated summary based on available episode metadata and transcript content.