Background<\/strong><\/span><\/p>\n<\/p>\n Earlier this week, I spoke at an interesting online event organized by Khaleej times in the UAE (UAE’s longest running daily English newspaper).<\/p>\n This two-part blog is based on the talk. I addressed a hard topic – and one which I hope sparks some discussion.<\/p>\n To summarize my talk:<\/p>\n In part one – I lay the background of the discussion in more detail.<\/p>\n Some terminology:<\/strong><\/span><\/p>\n Narrow AI<\/u> – systems that can only perform one specific task.<\/p>\n Strong AI<\/u> – AGI (Artificial General Intelligence). – which could perform any task as well as a human being, is a much harder problem because AGI needs to understand the context.<\/p>\n GPT-3<\/u> – Created by OpenAI with a large investment from Microsoft, GPT stands for Generative Pretrained Transformer. GPT-3 is displaying some amazing results. Some call it more like AGI.<\/p>\n PS – I had to refer to a few papers and links which are all mentioned in the text or at the end of part two.<\/p>\n <\/strong><\/p>\n AGI ..<\/strong><\/span><\/p>\n Outside of research circles (and scaremongering media!) – AGI is not on most people’s radar. AGI would not have been a topic of recent discussions had it not been for GPT3.<\/p>\n So, there are two initial questions to consider:<\/p>\n Consider the first question:<\/p>\n Can we build AGI using current tools, OR do we need to make new fundamental discoveries about the mind\/consciousness works?<\/p>\n Ray Kuzweil said in his book How to create a mind<\/a><\/span><\/p>\n “there is no fundamental difference between humans and machines, and that humans are machines whose “intelligence” emerges from the interplay of the many unintelligent but semi-autonomous agents that comprise the brain.”<\/em><\/p>\n Aka if we define ‘intelligence’ as emerging from the interaction of many simple, semi-autonomous entities – then there is no difference between human intelligence and intelligence from artificial neurons. <\/p>\n The alternate view is: we are missing key components to create artificial minds and we (as human beings) need to add these elements. In doing so, we create intelligence (conveniently in our own image)<\/p>\n What are we missing in the second view?<\/p>\n Intelligence could be:<\/p>\n (source Prof Jitendra Malik)<\/p>\n <\/p>\n <\/p>\n So, coming back to the first view i.e. simple interactions lead to intelligence without humans imposing any criteria on it .. then that means its simply a matter of throwing more data and computing power at the problem.<\/p>\n A recent essay also refers to this idea – “The Bitter Lesson<\/a><\/span>”<\/p>\n when researchers have tried to create AI programs based on human knowledge and specific rules, they’ve generally been beaten by rivals that simply leveraged more data and computation. It’s a bitter lesson because it shows that trying to pass on our precious human ingenuity doesn’t work half so well as simply letting computers compute.<\/em><\/p>\n The ever insightful Geoffrey Hinton tweeted cheekily: “Extrapolating the spectacular performance of GPT3 into the future suggests that the answer to life, the universe and everything is just 4.398 trillion parameters.”<\/p>\n All this points to AGI potentially arising organically<\/p>\n In the next section, we explore these ideas further<\/p>\n <\/p>\n <\/span><\/p>\n <\/p>\n <\/p>\n image source: Learn English Words: DICHOTOMY<\/a><\/p>\n<\/p>\n <\/p>\n<\/div>\n Go to Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<\/a><\/p>\n
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