• Google AlphaFold solved protein structure prediction • Multiple foundational AI research advances Every major breakthrough traces back to rigorous DeepMind research. When he talks AGI timelines, he's earned the right to be heard:

Sir Demis Hassabis is the most dangerous CEO alive: • Chess prodigy at age 4 • Knighted in 2023 for services to AI • Nobel Prize in Chemistry in 2024 He now leads Google's DeepMind AI His vision of the next 10 years will terrify you 🧵

When Hassabis makes predictions, you should listen. He co-founded DeepMind in 2010 with a bold 20-year mission to build AGI. 13 years later, they're exactly on track. His team has delivered breakthrough after breakthrough:

His latest prediction? AGI arrives just after 2030. That's 5-7 years from now. Sergey Brin, Google's co-founder, thinks it's even sooner - before 2030. But Hassabis has a uniquely high bar for what counts as AGI...

Most people think AGI means "smarter than humans." Hassabis thinks deeper. His definition: Systems that can do anything the human brain can do, even theoretically. That includes true out-of-the-box invention and flawless consistency:

Today's AI can solve mathematical conjectures. But it can't invent the Riemann Hypothesis. It can write code, but experts easily find trivial flaws. AGI will change that completely, and Hassabis says we're "past the middle game":

The job market disruption is already starting. Hassabis points to data science teams shrinking from 75 people to 1. But he's not worried about mass unemployment. Instead, he sees a fundamental shift in how we work:

The winners will master "meta-skills": • Learning to learn • Creativity • Adaptability Plus becoming "AI native" - using tools so well you become superhuman. But the biggest change is coming to education itself:

Universities might become less relevant. AI tutors will provide personalized education to anyone, anywhere. Kids growing up "AI native" will adapt faster than we can imagine. But there's a darker geopolitical reality emerging...

AGI is becoming the center of a new Cold War. Export controls are tightening. Countries are racing to build AI powerhouses in the Middle East. Hassabis warns: "We're all in this together" - but cooperation is getting harder.

The deeper question: What happens to human meaning? Hassabis predicts "radical abundance" - AI making everything incredibly cheap. Universal high income might become necessary. Some predict a religious revival as people seek purpose:

But some things will always be uniquely human. Human-to-human emotional connection. The soul in art that comes from real struggle and experience. Even Van Gogh's brushstrokes carry his torture - AI can't replicate that.

So how do you prepare for this future? Hassabis's advice for the next generation: • Don't abandon STEM fundamentals • Become an AI tool ninja now • Focus on creativity and adaptability The only certainty is massive change ahead.

I am Paul Harmon: • COO/President & operational strategist in tech • Leadership mentor focused on scaling high-performance teams • Champion of data-driven decision making & sustainable growth Come say hi to me on Linkedin!

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Can AI redefine scientific discovery? Dr. Tal Patalon explores OpenAI’s Deep Research in her latest Forbes article. 🎨 Future by Eduardo Kobra, provided by Eden Gallery. @TalPatalon @forbes @edengallery_