This blog continues from GPT3 and AGI: Beyond the dichotomy – part one<\/a><\/p>\n GPT3 and AGI<\/strong><\/p>\n Let’s first clarify what AGI should look like<\/p>\n Consider the movie ‘Terminator’<\/p>\n When the Arnold Schwarzenegger character comes to earth – he is fully functional. To do so, he must be aware of the context. In other words, AGI should be able to operate in any<\/strong> context<\/p>\n Such an entity does not exist<\/p>\n And nor is GPT3 such an entity<\/p>\n But GPT3 however has the capacity to respond ‘AGI-like’ to an expanded set of contexts much more than traditional AI systems.<\/p>\n GPT 3 has got many things going for it<\/p>\n Does AGI need to be conscious as we know it or would access consciousness suffice?<\/strong><\/span><\/p>\n In this context, a recent paper<\/p>\n A Roadmap for Artificial General Intelligence: Intelligence, Knowledge, and Consciousness: Garrett Mindt and Carlos Montemayor<\/p>\n https:\/\/www.academia.edu\/43620181\/A_Roadmap_for_Artificial_General_Intelligence_Intelligence_Knowledge_and_Consciousness<\/a> makes an argument is that<\/p>\n <\/p>\n Therefore, the proposal goes that AGI necessitates <\/p>\n <\/p>\n This line of thinking leads to many questions<\/p>\n Finally, let us consider the question of spillover of intelligence. In my view, that is another characteristic of AGI. Its not easy to quantify because tests are specific to problem types currently. A recent example of spillover of intelligence is from facebook AI supposedly inventing it’s own secret language.<\/em><\/strong> The media would have you believe that groups of AGI are secretly plotting to take over humanity. But the reality is a bit mundane as explained. The truth behind facebook AI inventing a new language<\/a><\/p>\n In a nutshell, the system was using Reinforcement learning. Facebook was trying to create a robot that could negotiate. To do this, facebook let two instances of the robot negotiate with each other – and learn from each other. The only measure of their success was how well they transacted objects. The only rule to follow was to put words on the screen. As long as they were optimizing the goal(negotiating) and understood each other it did not matter that the language was accurate (or indeed was English). Hence, the news about ‘inventing a new language’. But to me, the real question is: does it represent intelligence spillover?<\/em><\/strong><\/p>\n Much of future AI could be in that direction.<\/p>\n To Conclude<\/u><\/strong><\/p>\n We are left with some key questions: <\/strong><\/p>\n <\/p>\n References<\/u><\/strong><\/p>\n https:\/\/towardsdatascience.com\/gpt-3-the-first-artificial-general-intelligence-b8d9b38557a1<\/a><\/p>\n https:\/\/www.gwern.net\/GPT-3<\/a><\/p>\n http:\/\/haggstrom.blogspot.com\/2020\/06\/is-gpt-3-one-more-step-towards.html<\/a><\/p>\n https:\/\/nordicapis.com\/on-gpt-3-openai-and-apis\/<\/a><\/p>\n https:\/\/www.datasciencecentral.com\/profiles\/blogs\/what-is-s-driving-the-innovation-in-nlp-and-gpt-3<\/a><\/p>\n https:\/\/bdtechtalks.com\/2020\/08\/17\/openai-gpt-3-commercial-ai\/<\/a><\/p>\n https:\/\/aidevelopmenthub.com\/joscha-bach-on-gpt-3-achieving-agi-machine-understanding-and-lots-more-artificial\/<\/a><\/p>\n https:\/\/medium.com\/@ztalib\/gpt-3-and-the-future-of-agi-8cef8dc1e0a1<\/a><\/p>\n https:\/\/www.everestgrp.com\/2020-08-gpt-3-accelerates-ai-progress-but-the-path-to-agi-is-going-to-be-bumpy-blog-.html<\/a><\/p>\n https:\/\/www.theverge.com\/21346343\/gpt-3-explainer-openai-examples-errors-agi-potential<\/a><\/p>\n https:\/\/www.theguardian.com\/commentisfree\/2020\/aug\/01\/gpt-3-an-ai-game-changer-or-an-environmental-disaster<\/a><\/p>\n http:\/\/dailynous.com\/2020\/07\/30\/philosophers-gpt-3\/<\/a><\/p>\n https:\/\/marginalrevolution.com\/marginalrevolution\/2020\/07\/gpt-3-etc.html<\/a><\/p>\n https:\/\/artificialintelligence-news.com\/2020\/09\/10\/experts-misleading-claim-openai-gpt3-article\/<\/a><\/p>\n https:\/\/analyticsindiamag.com\/gpt-3-is-great-but-not-without-shortcomings\/<\/a><\/p>\n https:\/\/www.3mhisinsideangle.com\/blog-post\/ai-talk-gpt-3-mega-language-model\/<\/a><\/p>\n https:\/\/venturebeat.com\/2020\/06\/01\/ai-machine-learning-openai-gpt-3-size-isnt-everything\/<\/a><\/p>\n https:\/\/discourse.numenta.org\/t\/gpt3-or-agi\/7805<\/a><\/p>\n https:\/\/futureofintelligence.com\/2020\/06\/30\/is-this-agi\/<\/a><\/p>\n https:\/\/www.quora.com\/Can-we-achieve-AGI-by-improving-GPT-3<\/a><\/p>\n https:\/\/bmk.sh\/2020\/08\/17\/Building-AGI-Using-Language-Models\/<\/a><\/p>\n https:\/\/news.ycombinator.com\/item?id=23891226<\/a><\/p>\n <\/p>\n image source: <\/span>Learn English Words: DICHOTOMY<\/a><\/p>\n<\/div>\n Go to Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<\/a><\/p>\n
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