> be demis hassabis > spawn in london > age 4, become child chess prodigy > win chess tournaments > reach ~2300 elo > face danish chess champion > game lasts hours > position is a forced draw > too exhausted to see it > resign > danish guy laughs and shows the draw > feel sick to my stomach > realise something is wrong > chess is too narrow a problem > brilliant minds wasting decades on it > decide not to become a chess pro > buy a computer with chess winnings > teach self to program from books > start hacking on games with friends > decide to finish school early > apply to cambridge age 16 > cambridge says you're too young > forced to take a gap year > enter a video game coding competition > win > get invited to join bullfrog game studio > too young to be legally employed > work there anyway > build ai system inside theme park game > game becomes a global hit > turn 17 > offered £1,000,000 to stay and build games > turn it down > go to cambridge anyway > decide games aren't enough > study computer science > interested in agi since 2007 > most people laugh at this idea > realise brain is only form of agi we have > want to learn more about human brain > go back to school > study neuroscience > realise academia moves too slow > decide to build a company instead > start deepmind > pitch “solve intelligence” > investors don’t know what that means > get to meet peter thiel for one minute > wonder how to convince him > spend one minute playing chess with him > pitch "solve intelligence" again > he invests > go into total stealth mode for two years > no website > secret office > candidates think it’s a scam > start to train ai in simulated environments > train ai with reinforcement learning > train ai on pong first > it sucks > can't win a single point > keep trying > wait it won a a point > wait it's winning every single point > it actually works > expand to train on any two-player game > chess first, then move on to go > beats world champion at go > beats pros at starcraft > games is not enough > want to push into science > realise compute is the bottleneck > know this will take decades > google offers ~$400m > not the highest price > but they offer unlimited compute > accept > refuse to become a product team > stay in research mode > determined to use ai for good > need to figure out what's next > land on protein folding > 50-year-old unsolved science problem > many great minds have tried and failed > "good luck" > start up alphafold > try to solve protein folding > humans take years to find 1 protein structure > alphafold can find ~5 per day > submit results, win competition > not good enough > hire more scientists > rebuild it > go from solving one per day to millions per day > create invaluable system > pharma would pay anything > have to decide what to do with this > could sell access for usage > maybe make it a paid service > remember childhood chess tournament > remember why we built this > decide to give it away all away for free > publish all known protein structures publicly > win nobel peace prize > just the beginning towards agi