[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-the-rice-on-the-chessboard-why-humanity-keeps-underestimating-exponential-ai-growth":70},{"data":4},[5,37,57,64],{"name":6,"slug":7,"categories":8},"Productivity","productivity",[9,13,17,21,25,29,33],{"id":10,"title":11,"slug":12},17,"Branding","branding",{"id":14,"title":15,"slug":16},19,"Marketing","marketing",{"id":18,"title":19,"slug":20},20,"Work","work",{"id":22,"title":23,"slug":24},34,"Community","community",{"id":26,"title":27,"slug":28},21,"For newbies","for-newbies",{"id":30,"title":31,"slug":32},24,"Investment","investment",{"id":34,"title":35,"slug":36},22,"Finance","finance",{"name":38,"slug":39,"categories":40},"Tech","tech",[41,45,49,53],{"id":42,"title":43,"slug":44},28,"Technology","technology",{"id":46,"title":47,"slug":48},32,"Artificial Intelligence","artificial-intelligence",{"id":50,"title":51,"slug":52},26,"Security and protection","security-and-protection",{"id":54,"title":55,"slug":56},31,"YouTube Blog","youtube-blog",{"name":58,"slug":59,"categories":60},"News","news",[61],{"id":62,"title":58,"slug":63},18,"quasanews",{"name":65,"slug":66,"categories":67},"Business","business",[68],{"id":69,"title":65,"slug":66},16,{"post":71,"published_news":95,"popular_news":149,"categories":220},{"title":72,"description":73,"meta_title":72,"meta_description":74,"meta_keywords":75,"text":76,"slug":77,"created_at":78,"publish_at":79,"formatted_created_at":80,"category_id":46,"links":81,"view_type":86,"video_url":87,"views":50,"likes":88,"lang":89,"comments_count":88,"category":90},"The Rice on the Chessboard: Why Humanity Keeps Underestimating Exponential AI Growth","There’s an ancient Indian parable about a wise man who, for a service rendered, asked a powerful king to pay him in rice — placing one grain on the first square of a chessboard, two on the second, four on the third, and doubling the amount with every subsequent square.","Mustafa Suleyman — co-founder of DeepMind and Inflection, and now CEO of Microsoft AI — opens with exactly this insight","But it breaks down completely in the face of modern phenomena like compound interest, viral epidemics… and especially artificial intelligence.","\u003Cp>There’s an ancient Indian parable about a wise man who, for a service rendered, asked a powerful king to pay him in rice — placing one grain on the first square of a chessboard, two on the second, four on the third, and doubling the amount with every subsequent square.\u003C/p>\n\n\u003Cp>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/image-2026-04-20t220838579.webp\" type=\"image/webp\">\u003Cimg alt=\"The Rice on the Chessboard: Why Humanity Keeps Underestimating Exponential AI Growth\" class=\"image-align-left\" height=\"372\" src=\"https://cdn.quasa.io/photos/0001/image-2026-04-20t220838579.jpg\" width=\"250\" />\u003C/picture>The king, relieved by such a modest request, readily agreed. Only later did his advisors explain the terrible truth: by the 64th square, the total would reach \u003Cstrong>2⁶³\u003C/strong> grains — roughly 9.2 quintillion, or about 200 billion tons of rice. Far more than the entire kingdom (or the planet) could ever produce.\u003C/p>\n\n\u003Cp>This story has been retold for centuries as a cautionary tale about \u003Cstrong>exponential growth\u003C/strong>. Psychologists, economists, and futurists — from Daniel Kahneman to Ray Kurzweil — have repeatedly warned that while humans can calculate exponentials on paper, our intuition fails catastrophically when trying to *feel* them. We evolved for a linear world of steady paces and predictable returns. On the savannah, walking twice as long got you roughly twice as far. That mental model served us well for millennia.\u003C/p>\n\n\u003Cp>But it breaks down completely in the face of modern phenomena like compound interest, viral epidemics… and especially artificial intelligence.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>“We Evolved for a Linear World”\u003C/strong>\u003C/h4>\n\n\u003Cp>In a powerful new essay published in MIT Technology Review on April 8, 2026, Mustafa Suleyman — co-founder of DeepMind and Inflection, and now CEO of Microsoft AI — opens with exactly this insight:\u003C/p>\n\n\u003Cp>\u003Cem>\u003Ca href=\"https://www.technologyreview.com/2026/04/08/1135398/mustafa-suleyman-ai-future/\">> “We evolved for a linear world… This intuition served us well on the savannah. But it catastrophically fails when confronting AI and the core exponential trends at its heart\u003C/a>.”\u003C/em>\u003C/p>\n\n\u003Cp>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/image-2026-04-20t220836394.webp\" type=\"image/webp\">\u003Cimg alt=\"The Rice on the Chessboard: Why Humanity Keeps Underestimating Exponential AI Growth\" class=\"image-align-right\" height=\"447\" src=\"https://cdn.quasa.io/photos/0001/image-2026-04-20t220836394.jpg\" width=\"300\" />\u003C/picture>Suleyman argues that the central story of our era is the ongoing \u003Cstrong>compute explosion\u003C/strong>. Since 2010, the compute used to train frontier AI models has increased by a factor of roughly one trillion — from around 10¹⁴ FLOPs to over 10²⁶ FLOPs. Everything else in AI — capabilities, cost reductions, new architectures — flows from this single fact.\u003C/p>\n\n\u003Cp>Skeptics keep predicting walls: the end of Moore’s Law, data shortages, energy constraints, or diminishing returns from scaling. Yet these predictions have been consistently wrong because they rely on linear extrapolation in an exponential world.\u003C/p>\n\n\u003Cp>Suleyman points out that the compute required for a given level of performance is halving roughly every eight months — faster than Moore’s Law itself. Inference costs have plummeted by up to 900x in some cases, while effective compute for frontier models grows by about 5x per year.\u003C/p>\n\n\u003Cp>He paints a striking near-term picture: by 2027, global AI-relevant compute could reach 100 million H100-equivalent GPUs (a 10x jump in just three years), with another 1,000x effective increase possible by 2028.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>From Chatbots to Autonomous Agents\u003C/strong>\u003C/h4>\n\n\u003Cp>Because we struggle to internalize exponentials, most people still imagine AI as slightly smarter chatbots. Suleyman says we’re only in the foothills of the real transition — toward \u003Cstrong>nearly human-level agents\u003C/strong>: semi-autonomous systems capable of working for days or weeks on complex projects, writing code, negotiating, managing logistics, and collaborating in teams.\u003C/p>\n\n\u003Cp>These won’t be isolated tools answering questions. They will be “teams of AI workers that deliberate, collaborate, and execute.” The implications stretch across every industry built on cognitive labor.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>The Real Goal Isn’t Superintelligence\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/image-2026-04-20t220834323.webp\" type=\"image/webp\">\u003Cimg alt=\"The Rice on the Chessboard: Why Humanity Keeps Underestimating Exponential AI Growth\" class=\"image-align-left\" height=\"372\" src=\"https://cdn.quasa.io/photos/0001/image-2026-04-20t220834323.jpg\" width=\"250\" />\u003C/picture>Importantly, Suleyman pushes back against the hype (and fear) surrounding AGI as an abstract destination.\u003C/p>\n\n\u003Cp>\u003Cstrong>He writes:\u003C/strong>\u003C/p>\n\n\u003Cp>\u003Cem>> “The anti-goal is autonomous superintelligence. What we’re building is a teammate. An assistant. Something in your corner, backing you up.”\u003C/em>\u003C/p>\n\n\u003Cp>Instead of chasing god-like autonomous superintelligence, the focus should be on creating reliable cognitive abundance — AI that amplifies human capability rather than replacing or escaping it.\u003C/p>\n\n\u003Cp>This perspective is refreshingly grounded and optimistic. Suleyman isn’t promising utopia or warning of imminent doom. He’s simply saying: stop thinking linearly. The compute explosion is real, it’s accelerating, and it’s still only beginning.\u003C/p>\n\n\u003Cp>Also read:\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/how-to-hack-perplexity-and-get-unlimited-claude-opus-at-someone-else-s-expense\">How to Hack Perplexity and Get Unlimited Claude Opus at Someone Else's Expense\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/the-overlooked-crackdown-china-s-tech-giants-reined-in-over-involution-pricing-wars-amid-deflation-fears\">The Overlooked Crackdown: China's Tech Giants Reined In Over 'Involution' Pricing Wars Amid Deflation Fears\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/it-inflation-how-ai-is-driving-up-the-costs-of-tech-infrastructure\">IT Inflation: How AI is Driving Up the Costs of Tech Infrastructure\u003C/a>\u003C/li>\n\u003C/ul>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Learning to See the Exponent\u003C/strong>\u003C/h4>\n\n\u003Cp>Humanity has marched into this trap for centuries — underestimating compound growth in finance, epidemiology, technology, and now AI. School teaches us the math, but our brains remain wired for the savannah.\u003C/p>\n\n\u003Cp>The rice-on-the-chessboard story endures because it’s humbling. The king wasn’t stupid; he was human. We all are.\u003C/p>\n\n\u003Cp>Suleyman’s essay is a timely reminder that in the age of AI, our greatest cognitive bias — the failure to intuitively grasp exponentials — may be the biggest obstacle to clear thinking about the future. Those who learn to override their linear instincts won’t just avoid surprise.\u003C/p>\n\n\u003Cp>They might actually be ready for what’s coming.\u003C/p>","the-rice-on-the-chessboard-why-humanity-keeps-underestimating-exponential-ai-growth","2026-04-20T20:10:17.000000Z","2026-04-23T11:00:00.000000Z","23.04.2026",{"image":82,"image_webp":83,"thumb":84,"thumb_webp":85},"https://cdn.quasa.io/images/news/A7vLK20XbrRVdUCdvtedODguBAKoaZY79tMBlsOE.jpg","https://cdn.quasa.io/images/news/A7vLK20XbrRVdUCdvtedODguBAKoaZY79tMBlsOE.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/A7vLK20XbrRVdUCdvtedODguBAKoaZY79tMBlsOE.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/A7vLK20XbrRVdUCdvtedODguBAKoaZY79tMBlsOE.webp","small",null,0,"en",{"id":46,"title":47,"slug":48,"meta_title":91,"meta_description":92,"meta_keywords":92,"deleted_at":87,"created_at":93,"updated_at":94,"lang":89},"Artificial Intelligence | AI Breakthroughs, Agents & Tools | QUASA","Artificial Intelligence, ai, ml, machine learning, chatgpt, future","2024-09-22T08:08:27.000000Z","2026-04-22T14:56:34.000000Z",[96,108,111,124,136],{"title":97,"description":98,"slug":99,"created_at":100,"publish_at":100,"formatted_created_at":80,"category":101,"links":102,"view_type":86,"video_url":87,"views":10,"likes":88,"lang":89,"comments_count":88,"is_pinned":107},"YouTube’s New Push Notification Crackdown: A Smart Fix for Notification Fatigue or a Hit to Creator Reach?","In the ongoing conversation around content deliverability, YouTube has just rolled out a significant change that will affect millions of creators and subscribers.","youtube-s-new-push-notification-crackdown-a-smart-fix-for-notification-fatigue-or-a-hit-to-creator-reach","2026-04-23T12:32:15.000000Z",{"title":55,"slug":56},{"image":103,"image_webp":104,"thumb":105,"thumb_webp":106},"https://cdn.quasa.io/images/news/CeKKOmW8G5UoYDFB91yqL5J8iyEnOm9Uqw3OPNv1.jpg","https://cdn.quasa.io/images/news/CeKKOmW8G5UoYDFB91yqL5J8iyEnOm9Uqw3OPNv1.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/CeKKOmW8G5UoYDFB91yqL5J8iyEnOm9Uqw3OPNv1.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/CeKKOmW8G5UoYDFB91yqL5J8iyEnOm9Uqw3OPNv1.webp",false,{"title":72,"description":73,"slug":77,"created_at":78,"publish_at":79,"formatted_created_at":80,"category":109,"links":110,"view_type":86,"video_url":87,"views":50,"likes":88,"lang":89,"comments_count":88,"is_pinned":107},{"title":47,"slug":48},{"image":82,"image_webp":83,"thumb":84,"thumb_webp":85},{"title":112,"description":113,"slug":114,"created_at":115,"publish_at":116,"formatted_created_at":80,"category":117,"links":118,"view_type":86,"video_url":87,"views":123,"likes":88,"lang":89,"comments_count":88,"is_pinned":107},"AI Companies Are “Harvesting Organs” from Dead Startups — And Founders Are Cashing In","In the race for ever-better AI, the obvious data sources — the entire public internet, books, Reddit, Wikipedia — ran dry by late 2024.","ai-companies-are-harvesting-organs-from-dead-startups-and-founders-are-cashing-in","2026-04-19T18:19:11.000000Z","2026-04-23T09:10:00.000000Z",{"title":35,"slug":36},{"image":119,"image_webp":120,"thumb":121,"thumb_webp":122},"https://cdn.quasa.io/images/news/AuOWNag5KhQ2BXoZMgz0ynmxkQo4SwxeXqYAsges.jpg","https://cdn.quasa.io/images/news/AuOWNag5KhQ2BXoZMgz0ynmxkQo4SwxeXqYAsges.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/AuOWNag5KhQ2BXoZMgz0ynmxkQo4SwxeXqYAsges.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/AuOWNag5KhQ2BXoZMgz0ynmxkQo4SwxeXqYAsges.webp",37,{"title":125,"description":126,"slug":127,"created_at":128,"publish_at":128,"formatted_created_at":80,"category":129,"links":130,"view_type":86,"video_url":87,"views":135,"likes":88,"lang":89,"comments_count":88,"is_pinned":107},"10 Years in Crypto: QUASA Joins the Elite 1% and Continues to Gain Strength (QUA Crypto Buyback - April 2026)","As of now, the total QUA tokens in circulation stand at 67.95 million. 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