{"id":161366,"date":"2023-03-31T16:24:19","date_gmt":"2023-03-31T21:24:19","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2023\/03\/why-its-difficult-to-predict-where-gpt-and-other-generative-ai-might-take-us"},"modified":"2023-03-31T16:24:19","modified_gmt":"2023-03-31T21:24:19","slug":"why-its-difficult-to-predict-where-gpt-and-other-generative-ai-might-take-us","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2023\/03\/why-its-difficult-to-predict-where-gpt-and-other-generative-ai-might-take-us","title":{"rendered":"Why It\u2019s Difficult To Predict Where GPT And Other Generative AI Might Take Us"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/why-its-difficult-to-predict-where-gpt-and-other-generative-ai-might-take-us.jpg\"><\/a><\/p>\n<p>Derek Thompson published an essay in the Atlantic last week that pondered an intriguing question: \u201cWhen we\u2019re looking at generative AI, what are we actually looking at?\u201d The essay was framed like this: \u201cNarrowly speaking, GPT-4 is a large language model that produces human-inspired content by using transformer technology to predict text. Narrowly speaking, it is an overconfident, and often hallucinatory, auto-complete robot. This is an okay way of describing the technology, if you\u2019re content with a dictionary definition.<\/p>\n<hr>\n<p>He closes his essay with one last analogy, one that really makes you think about the-as-of-yet unforeseen consequences of generative AI technologies \u2014 good or bad: Scientists don\u2019t know exactly how or when humans first wrangled fire as a technology, roughly 1 million years ago. But we have a good idea of how fire invented modern humanity \u2026 fire softened meat and vegetables, allowing humans to accelerate their calorie consumption. Meanwhile, by scaring off predators, controlled fire allowed humans to sleep on the ground for longer periods of time. The combination of more calories and more REM over the millennia allowed us to grow big, unusually energy-greedy brains with sharpened capacities for memory and prediction. Narrowly, fire made stuff hotter. But it also quite literally expanded our minds \u2026 Our ancestors knew that open flame was a feral power, which deserved reverence and even fear. The same technology that made civilization possible also flattened cities.<\/p>\n<p>Thompson concisely passes judgment about what he thinks generative AI will do to us in his final sentence: I think this technology will expand our minds. And I think it will burn us.<\/p>\n<p>Thompson\u2019s essay inadvertently but quite poetically illustrates <em>why<\/em> it\u2019s so difficult to predict events and consequences too far into the future. Scientists and philosophers have studied <a href=\"https:\/\/global.oup.com\/academic\/product\/investigations-9780195121056?cc=ca&lang=en&\" target=\"_blank\" class=\"\" title=\"https:\/\/global.oup.com\/academic\/product\/investigations-9780195121056?cc=ca&lang=en&\" rel=\"nofollow noopener noreferrer\" aria-label=\"the process of how knowledge is expanded\">the process of how knowledge is expanded<\/a> from a current state to novel directions of thought and knowledge.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Derek Thompson published an essay in the Atlantic last week that pondered an intriguing question: \u201cWhen we\u2019re looking at generative AI, what are we actually looking at?\u201d The essay was framed like this: \u201cNarrowly speaking, GPT-4 is a large language model that produces human-inspired content by using transformer technology to predict text. Narrowly speaking, it [\u2026]<\/p>\n","protected":false},"author":578,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20,6],"tags":[],"class_list":["post-161366","post","type-post","status-publish","format-standard","hentry","category-futurism","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/161366","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/578"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=161366"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/161366\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=161366"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=161366"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=161366"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}