Go big or go home: DeepMind’s bold play
Why bold bets can lead to massive wins
Time: 3.20 Minutes
“Outsized returns often come from betting against conventional wisdom… In business, every once in a while, you can score 1,000 runs instead of one.”
- Jeff Bezos
Want to know what separates a good startup from a legendary one?
It’s the guts to go all in.
DeepMind, a London-based AI powerhouse, didn’t just stumble into product-market fit, they charged at it with a bold, almost reckless vision.
Their story is a masterclass in thinking big to solve real problems…
Back in 2010, DeepMind’s founders, Demis Hassabis and team, saw AI’s potential to crack problems humans couldn’t.
Instead of building another chatbot, they aimed higher: creating AI that learns like a human.
Their big bet?
AlphaGo, a system to master the ancient game of Go.
Why Go? It’s insanely complex, more possible moves than atoms in the universe. If they could nail that, they’d prove AI’s real-world potential.
They obsessed over one question: can AI solve something humans deem impossible?
By 2016, AlphaGo stunned the world, beating world champion Lee Sedol.
That wasn’t just a win, it was proof DeepMind’s AI could tackle any complex problem, from healthcare to energy.
Google snapped them up for £400M in 2014, but the real payoff was PMF: their AI became a blueprint for industries craving breakthroughs.
The takeaway?
Don’t play small. DeepMind didn’t chase incremental wins. They picked a problem so hard it forced them to innovate.
Find your “impossible” challenge. Test it with small experiments (like their early game-based AI tests).
Then scale the solution relentlessly.
So, what’s your big, bold play?
Stay curious and swing for the fences.
Your favourite Domi.
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