[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fKoBYqiC1V3ByNKZBhIevNgy3115oP9RWBo0y0aLsS_8":3,"$fhTta2b0dLcN4vBLRQ4n9Z3kswJZ-RkUkm5Vnie2CSbc":51},{"author":4,"tags":50},{"author_id":5,"author_name":6,"author_name_first_letter":7,"article_count":8,"bio":9,"short_bio":10,"bio_jsonld":11,"slug":48,"image_url":49},82712,"Geoffrey Hinton","G",44,"Geoffrey E. Hinton is a British-Canadian computer scientist, psychologist, neuroscientist, and artificial intelligence researcher born on 6 December 1947 in Wimbledon.\n\nHinton holds citizenship in both the United Kingdom and Canada. He was educated at King's College and subsequently at the University of Edinburgh, institutions that shaped his formation across the several disciplines he has worked within throughout his career. Alongside his research activities, he has worked as a university teacher, a role that has run in parallel with his standing as an artificial intelligence researcher.\n\nHis recognition within the scientific community is considerable and documented across several distinct forms of distinction. He is a Fellow of the Royal Society, a long-standing mark of standing in British science. He received the Turing Award, the highest honour in computer science. He also received the Nobel Prize in Physics, a notable distinction for a researcher whose professional identity encompasses computer science, psychology, neuroscience, and artificial intelligence research.\n\nThe recurring disciplinary preoccupations evident across Hinton's career draw on psychology, neuroscience, and computer science in combination, reflecting a sustained engagement with questions that touch on both biological and artificial forms of intelligence. English is the language in which he has conducted and communicated his research. His career, marked by the Turing Award and the Nobel Prize in Physics, represents a sustained body of work recognised across the fields of computer science and artificial intelligence research.","Geoffrey E. Hinton is a British-Canadian computer scientist, psychologist, neuroscientist, and artificial intelligence researcher born on 6 December 1947 in Wimbledon.",{"@graph":12,"@context":47},[13,24],{"@id":14,"name":6,"@type":15,"sameAs":16,"birthDate":22,"description":23},"https://www.wikidata.org/wiki/Q92894","Person",[14,17,18,19,20,21],"https://en.wikipedia.org/wiki/Geoffrey_Hinton","https://viaf.org/viaf/94385551/","https://id.loc.gov/authorities/names/n80165215","https://openlibrary.org/authors/OL3640215A","https://d-nb.info/gnd/1068117893","1947-12-06","British-Canadian computer scientist and psychologist",{"@type":25,"author":26,"headline":29,"isBasedOn":30,"mainEntity":31,"reviewedBy":32,"articleBody":9,"dateCreated":33,"dateModified":34,"additionalProperty":35,"creativeWorkStatus":46},"Article",{"name":27,"@type":28},"Editorial Team","Organization","Geoffrey Hinton — biography",[14,17,19],{"@id":14},{"name":27,"@type":28},"2026-05-26T02:22:26.044356+00:00","2026-05-26T02:30:43.584716+00:00",[36,40,43],{"@type":37,"value":38,"propertyID":39},"PropertyValue","Q92894","wikidata",{"@type":37,"value":41,"propertyID":42},"1.000","factscore",{"@type":37,"value":44,"propertyID":45},"claude-sonnet-4-6-r1","draftModel","AI-drafted, auto-published","https://schema.org","geoffrey-hinton",null,[],{"quotes":52,"pagination":116},[53,61,68,74,80,86,92,98,104,110],{"id":54,"quote_text":55,"author_id":5,"source_id":56,"has_image":57,"author":58,"source":59,"quote_tag":60,"commentary":49},3677171,"Humans are still much better than computers at recognizing speech.",7,false,{"id":5,"author_name":6,"slug":48,"author_name_first_letter":7,"article_count":8,"image_url":49},{},[],{"id":62,"quote_text":63,"author_id":5,"source_id":56,"has_image":57,"author":64,"source":65,"quote_tag":66,"commentary":67},3677169,"All you need is lots and lots of data and lots of information about what the right answer is, and you'll be able to train a big neural net to do what you want.",{"id":5,"author_name":6,"slug":48,"author_name_first_letter":7,"article_count":8,"image_url":49},{},[],"**The Backstory**\nGeoffrey Hinton, a pioneer in deep learning and artificial neural networks, likely uttered these words during his lectures at the University of Toronto in the 2000s. At that time, he was one of the leading researchers in the field, grappling with the challenges of training complex neural networks.\n\n**The Hidden Insight**\nOn closer examination, Hinton's statement reveals a paradoxical truth: it implies that the pursuit of innovation and intelligence is not about discovering new principles or mechanisms but rather about accumulating and leveraging existing knowledge. This perspective shifts the focus from creative problem-solving to information aggregation and processing.\n\n**How to Use This**\nTo apply this mindset in your own work, focus on gathering diverse datasets and incorporating feedback mechanisms into your projects. By doing so, you'll be able to fine-tune your solutions and make incremental improvements, rather than trying to reinvent the wheel with each new challenge.",{"id":69,"quote_text":70,"author_id":5,"source_id":56,"has_image":57,"author":71,"source":72,"quote_tag":73,"commentary":49},3677167,"The NSA is already bugging everything that everybody does. Each time there's a new revelation from Snowden, you realise the extent of it.",{"id":5,"author_name":6,"slug":48,"author_name_first_letter":7,"article_count":8,"image_url":49},{},[],{"id":75,"quote_text":76,"author_id":5,"source_id":56,"has_image":57,"author":77,"source":78,"quote_tag":79,"commentary":49},3677165,"My main interest is in trying to find radically different kinds of neural nets.",{"id":5,"author_name":6,"slug":48,"author_name_first_letter":7,"article_count":8,"image_url":49},{},[],{"id":81,"quote_text":82,"author_id":5,"source_id":56,"has_image":57,"author":83,"source":84,"quote_tag":85,"commentary":49},3677163,"Everybody right now, they look at the current technology, and they think, 'OK, that's what artificial neural nets are.' And they don't realize how arbitrary it is. We just made it up! And there's no reason why we shouldn't make up something else.",{"id":5,"author_name":6,"slug":48,"author_name_first_letter":7,"article_count":8,"image_url":49},{},[],{"id":87,"quote_text":88,"author_id":5,"source_id":56,"has_image":57,"author":89,"source":90,"quote_tag":91,"commentary":49},3677161,"I think the way we're doing computer vision is just wrong.",{"id":5,"author_name":6,"slug":48,"author_name_first_letter":7,"article_count":8,"image_url":49},{},[],{"id":93,"quote_text":94,"author_id":5,"source_id":56,"has_image":57,"author":95,"source":96,"quote_tag":97,"commentary":49},3677158,"I get very excited when we discover a way of making neural networks better - and when that's closely related to how the brain works.",{"id":5,"author_name":6,"slug":48,"author_name_first_letter":7,"article_count":8,"image_url":49},{},[],{"id":99,"quote_text":100,"author_id":5,"source_id":56,"has_image":57,"author":101,"source":102,"quote_tag":103,"commentary":49},3677157,"I am betting on Google's team to be the epicenter of future breakthroughs.",{"id":5,"author_name":6,"slug":48,"author_name_first_letter":7,"article_count":8,"image_url":49},{},[],{"id":105,"quote_text":106,"author_id":5,"source_id":56,"has_image":57,"author":107,"source":108,"quote_tag":109,"commentary":49},3677155,"I have a Reagan-like ability to believe in my own data.",{"id":5,"author_name":6,"slug":48,"author_name_first_letter":7,"article_count":8,"image_url":49},{},[],{"id":111,"quote_text":112,"author_id":5,"source_id":56,"has_image":57,"author":113,"source":114,"quote_tag":115,"commentary":49},3677153,"The paradigm for intelligence was logical reasoning, and the idea of what an internal representation would look like was it would be some kind of symbolic structure. That has completely changed with these big neural nets.",{"id":5,"author_name":6,"slug":48,"author_name_first_letter":7,"article_count":8,"image_url":49},{},[],{"currentPage":117,"totalPages":118,"totalItems":8,"itemsPerPage":119},1,5,10]