Maybe we should just skip the whole AGI thing?

And instead focus on something ..... useful?

Ruchir Puri thinks that's the way forward.

Ruchir, IBM Research & IBM Fellow, knows a thing or two about AI and how to make it useful.

For decades, he's helped develop the world's biggest AI breakthroughs, like IBM Watson.

Don't miss this convo if you're ready to make AI a bit more useful.

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Topics Covered in This Episode:

Allocation of AGI Focus vs. AUI (Artificial Useful Intelligence)
Ruchir Puri’s Background in Automation and AI at IBM
Discussion of AGI’s Unclear Definition and Historical Milestones (Deep Blue and Watson)
Breakdown of Intelligence into IQ, EQ, and RQ
Emphasis on AUI’s Practical Uses in Daily Life and Business
Evolution of Human Work Due to AI Advancements
IBM's Software Engineering Agent for Developer Productivity
Importance of Feedback Systems and Intelligent Agents
Steps for Business Leaders: Education, Strategy, and Skill Development

Timestamps:
00:00 Everyday AI Podcast & Newsletter

03:57 Debating AGI and Scaremongering

09:31 Evolution of Knowledge Work

10:47 Seamless Language Generation's Impact

13:57 AI's Growing Reasoning Abilities

19:18 "Software's Dominance and Developer Focus"

22:22 AI Solutions for Cybersecurity Challenges

26:40 ChatGPT Struggles with Math

29:32 Preparing Human Skills for AI's Rise

30:35 "Embrace and Strategize with AI"

34:00 "Subscribe for Daily AI Insights"

Keywords:
artificial intelligence, AI podcast, large language models, LLMs, artificial general intelligence, AGI, artificial useful intelligence, AUI, IBM, AI in business, AI strategy, AI implementation, machine learning, deep blue, jeopardy, Watson, Granite models, reasoning AI, agentic AI, AI in software development, AI tools, AI automation, generative AI, EQ, RQ, IQ, AI reasoning, AI technology, AI in careers, AI and human skills, AI in enterprises.

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EP 521: Why Artificial Useful Intelligence (AUI) Matters More Than AGI

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