Testing AI Chatbots Human-Like Intelligence: DeepMind Co-Founder Proposes Turning $100,000 into $1 Million
DeepMind's Co-Founder Proposes New AI Intelligence Test: Turning $100,000 into $1 Million
Mustafa Suleyman, a co-founder of DeepMind, challenges the traditional Turing test and suggests a novel approach to measure AI intelligence. In his upcoming book, "The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma," Suleyman advocates for a "modern Turing test" that evaluates AI chatbots based on their ability to transform $100,000 into $1 million.
Suleyman dismisses the conventional Turing test, stating that it fails to assess crucial aspects of human-like intelligence, such as complex reasoning and long-term planning. Instead, he introduces the concept of "artificial capable intelligence" (ACI), which focuses on short-term goal achievement with minimal human input.
According to Suleyman, AI bots should undergo a new Turing test wherein they receive a $100,000 seed investment and are tasked with researching an e-commerce business idea, devising a product plan, identifying a manufacturer, and successfully selling the item. He predicts that AI will achieve this milestone within the next two years.
By shifting the evaluation from mere conversation abilities to practical accomplishments, Suleyman emphasizes the importance of an AI's tangible impact. The proposal aligns with the recent advancements of OpenAI's ChatGPT, which has demonstrated impressive conversational skills, code generation capabilities, and essay writing prowess since its release in November 2022. The generative AI industry, represented by ChatGPT, has garnered significant attention and is projected to contribute up to $4.4 trillion annually to the global economy, as highlighted in a recent McKinsey report.
Suleyman's vision for a new AI intelligence test reflects the evolving expectations surrounding AI systems, emphasizing their practical application and potential for transformative outcomes.
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