Google DeepMind CEO Demis Hassabis’s AI journey had an surprising begin: his early mastery of chess.
Years earlier than Hassabis would obtain the 2024 Nobel Prize in Chemistry for creating an AI program that predicted protein buildings, he was a baby chess champion who began taking part in the sport on the age of 4. By age 13, he was a chess master competing in opposition to adults in worldwide competitions.
In a lecture earlier this month on the College of Cambridge, Hassabis, now 48, defined that chess obtained him “desirous about pondering itself” or exploring the psychological processes behind complicated ideas.
“How does our thoughts provide you with these plans, these concepts?” Hassabis requested. “Maybe extra fascinating to me than the video games I used to be taking part in was the precise psychological course of behind it.”
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Hassabis’ first publicity to programming as a baby was by an digital chess laptop, a bodily board able to taking part in chess in opposition to a human participant. Although Hassabis was meant to check out completely different chess methods on the pc, he was extra fascinated by how the pc labored and the way somebody had programmed it to play chess.
“I bear in mind being fascinated by the truth that somebody had programmed this lump of inanimate plastic to play chess rather well in opposition to you,” Hassabis stated. “I used to be actually fascinated by how that was completed and the way somebody might program one thing like that.”
In his early teenagers, Hassabis started attempting to construct AI packages himself on an early house laptop, the Amiga 500. From then on, he “was hooked” on AI and determined to spend his total profession making advances within the area.
Demis Hassabis. Photographer: Stefan Wermuth/Bloomberg through Getty Photos
Hassabis co-founded AI firm DeepMind in 2010, and it was acquired by Google in 2014 for more than $500 million. He later invented AlphaZero in 2017, an AI algorithm that wanted solely the foundations of chess and 4 hours of taking part in in opposition to itself to change into the strongest chess participant ever, beating human chess masters.
Hassabis was awarded the Nobel Prize in Chemistry in 2024 with fellow laureate and DeepMind director John Jumper for creating an AI mannequin, AlphaFold2, that precisely predicted the complicated buildings of virtually all 200 million proteins, every inside minutes. The AlphaFold Protein Structure Database, which makes these protein buildings freely obtainable, has reached over two million customers in 190 international locations, serving to pave the best way for superior analysis in areas like Parkinson’s treatments and antibiotic resistance.
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Hassabis identified in his Cambridge lecture that it takes a mean of 10 years, plus billions of {dollars}, to create a brand new drug. In keeping with the London College of Economics and Political Science, the typical price of growing a drug ranges from $314 million to $2.8 billion.
Within the lecture, Hassabis touched on the opportunity of growing medication extra rapidly and cheaply utilizing AI, “from probably years all the way down to minutes and seconds.”
Hassabis told DeepMind employees in London earlier this month that he thinks synthetic intelligence will change into extra clever than human beings inside the subsequent decade.
