The Flow State Podcast S03 E01 - The Implications of AI 2: Robo-no They Didn't!

In this episode Stuart P. Turner revisits the subject AI, 18-ish months of from the first Implications of AI series. What's changed? What hasn't? What's coming next? Stu runs through the headlines (in amongst the usual semi-work related rambles and free opinions) to provide a rapid fire rundown of what's been happening an what we should all be thinking about right now. Listen in for a rundown on: AI industry evolution since 2023 Use cases and application Risks and challenges in enterprise businesses Interoperability initiatives (Anthropic MCP and Google A2A) More predictions! You can grab a copy of the slides from the live show here: PDF of the slides You can find further reading from the episode here: Large Language Model Definition (IBM) AI Agent Definition (IBM) Interoperability Is Key To Unlocking Agentic AI’s Future (Forrester) Model Context Protocol (Anthropic) A2A (Google)