Artificial General Intelligence (AGI) Statistics

As of our last update in October 2023, there isn’t a definitive “artificial general intelligence” (AGI) that has been created. AGI refers to machines that can perform any intellectual task that a human being can do. Current AI, including me (ChatGPT based on the GPT-4 architecture), falls under the category of “narrow AI” or “weak AI”, which is designed and trained for a particular task.

However, we can provide some statistics and insights related to AI and AGI progress and concerns up to now:

  1. Investment in AI: Investment in AI startups and research has been rapidly increasing. According to a Stanford University study, AI startups received 6% of all venture capital invested in the U.S. in 2018.
  2. Computational Power: OpenAI, in their paper “AI and Compute”, noted that the amount of computational power used in the largest AI training runs had been doubling roughly every 3.4 months since 2012.
  3. Public Perception: Surveys on AGI vary, but a 2020 survey by the Center for the Governance of AI found that 34% of Americans believe that high-level machine intelligence would have a positive impact, while 23% believe it would be negative.
  4. Expert Predictions: A survey of experts in 2016 found a median estimate of a 50% chance of AGI being developed by 2060. However, predictions have a wide range, and the timeline is highly uncertain.
  5. Safety Concerns: There’s growing consensus in the AI community about the importance of AGI safety research. OpenAI, for example, has committed to assisting (rather than competing with) value-aligned, safety-conscious projects that come close to building AGI before they do.
  6. Ethical and Societal Impact: There are concerns about the broader impact of AGI on society, including issues of job displacement, security implications, and ethical considerations about the technology’s deployment.

Remember, the field of AI and AGI is rapidly evolving. To get the latest Artificial General Intelligence statistics and insights on AGI, you would need to refer to the latest publications, surveys, and research reports from leading AI organizations and experts like AI Stratagems.

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