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For most of my career, technology felt predictable.
A new software platform arrived.
A new programming language appeared.
A new cloud service changed how we deploy applications.
Every wave of technology helped people work faster.
But AI feels different.
Over the last two years, I have watched professionals across industries experience something I have never seen before.
People are not simply using a new tool.
They are having conversations with technology.
A marketer can generate campaigns.
A consultant can build frameworks.
A developer can create applications in hours instead of weeks.
And every week, the systems become smarter.
Personally, I have experienced this while building AI frameworks, experimenting with coding agents, and working with organizations trying to adopt Generative AI.
Many times I have found myself staring at a screen thinking:
“How did it do that?”
Not because the output was perfect.
But because the pace of improvement was faster than expected.
This raises an important question.
If AI is becoming more capable every month, how do we ensure we build systems that remain useful, trustworthy, and safe?
That is exactly what we explore in today’s Open Tech Talks conversation with Dr. Craig Kaplan.
Episode # 190
Today’s Guest:
Dr. Craig A. Kaplan, Inventor of the designs and Technologies that enable safe SuperIntelligence.
He is a pioneer in artificial intelligence and the inventor behind technologies designed for safe Superintelligence. For more than four decades, he has worked at the intersection of intelligent systems, ethics, and innovation, developing architectures that help AI evolve safely and remain aligned with human values.
- Website: SuperIntelligence
- YouTube: iStudios
What Listeners Will Learn:
- How AI evolved from symbolic systems to Generative AI
- The difference between AI, AGI, and Superintelligence
- Why are many AI researchers concerned about AI safety
- Enterprise AI risks leaders should understand today
- Why AI agents are becoming the next major AI wave
- The rise of multi-agent and collective intelligence systems
- How organizations can design safer AI solutions
- Why AI is shifting from a tool to a digital coworker
- The future impact of AI on jobs and knowledge work
- Practical guidance for responsible AI adoption