The predictions are changing because advancements in AI, particularly generative AI and large language models, have significantly accelerated the timeline. Experts initially estimated AGI to be 80 years away, but now, post-ChatGPT and GPT-4, the forecast is less than eight years. This rapid shift reflects the exponential pace of AI development.
Big tech companies like Microsoft, OpenAI, Meta, and NVIDIA are openly working toward AGI. Microsoft collaborates with OpenAI, Meta is developing an open-source AGI, and NVIDIA provides the hardware and software for AI development. These companies see AGI as the next step in AI evolution and are actively researching and investing in AGI technologies.
The definition of AGI has evolved as AI technology has advanced. Early definitions from 10-20 years ago focused on a system's ability to learn and solve problems across different areas, similar to a human. However, as large language models and generative AI have become more sophisticated, the goalposts for what constitutes AGI have shifted, making it harder to officially declare AGI has been achieved.
The partnership between OpenAI and Microsoft is pivotal for AGI development. Microsoft has invested $13 billion and holds a 49% stake in OpenAI. However, once OpenAI declares it has achieved AGI, the partnership terms change, potentially altering the dynamics of their collaboration. This relationship is crucial as it provides OpenAI with significant resources and insights, but also complicates the declaration of AGI achievement.
OpenAI might delay declaring AGI achievement because doing so could alter their partnership with Microsoft, which provides significant funding and resources. Additionally, declaring AGI could complicate future fundraising efforts, as investors might see less potential in a company that has already achieved its primary mission. Therefore, OpenAI might continue to move the goalposts to maintain its current advantageous position.
The cost of AI development, particularly compute power, has decreased exponentially in recent years. This has made it feasible for more companies to pursue AGI. Additionally, companies like OpenAI and Google are offering AI capabilities for free, further reducing barriers to entry. This democratization of AI resources is accelerating the development and potential achievement of AGI.
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It's the trillion dollar AI question. When will we achieve Artificial General Intelligence? (And what the heck is it, anyway?) We'll give you the 101 on what you need to know, and one secret that could be holding the official discovery back.Newsletter: Sign up for our free daily newsletter)**More on this Episode: **Episode Page)**Join the discussion: **Ask Jordan questions on AGI)Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup)Website: YourEverydayAI.com)Email The Show: [email protected])**Connect with Jordan on **LinkedIn)**Topics Covered in This Episode:1. Definition of AI, AGI and ASI2. Evolution of AGI3. Impacts of Advancements in AGI4. Future of AGITimestamps:**02:00 When is AGI coming?09:54 Machines performing tasks requiring human intelligence.13:10 Generative AI brings impressive outputs through language.14:04 Generative AI democratizes US AI capabilities; narrow compared.19:00 Correct prompting with PPP course at podpp.com.20:52 Big tech companies openly working toward AGI now.25:37 AGI development inevitable, desirable, surpassing human capabilities.28:16 Pre-2020, experts said AGI was 80 years away.31:25 Criticism of experts in generative AI misunderstandings.33:49 Has AI's definition of AGI changed?37:21 Definition of AGI has evolved over time.40:45 Partnership between Microsoft and OpenAI pivotal.45:21 OpenAI benefits from important Microsoft partnership changes.47:08 Tech companies must focus on AGI development.**Keywords:**AGI, Artificial General Intelligence, OpenAI, Microsoft, partnership, AI development, AI startup, Anthropic, copyright infringement, Google's Gemini team, Token offering, AI models, USAID, ChatGPT Enterprise, AI pace estimation, AI evolution, Artificial Superintelligence, AI prediction chart, ARK Invest, GPT 3 technology, Traditional AI, Generative AI, AI democratization, AGI benchmark, ChatGPT course, AI startups, Big tech companies, AGI cost reduction, Future of work, Everyday AI podcast.
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