Consider the following statements with reference to the Artificial Gen...
In a recent interview, Sam Altman, CEO of OpenAI, expressed his commitment to invest billions of dollars towards the development of Artificial General Intelligence (AGI).
- It refers to a machine or a software that can perform any intellectual task that a human can do. This includes reasoning, common sense, abstract thinking, background knowledge, transfer learning, ability to differentiate between cause and effect, etc.
- It aims to emulate human cognitive abilities such that it allows it to do unfamiliar tasks, learn from new experiences, and apply its knowledge in new ways.
How is AGI different from AI we already use?
- The main difference between AGI and the more common form of AI, also known as narrow AI, lies in their scope and capabilities.
- Narrow AI is designed to perform specific tasks such as image recognition, translation, or even playing games like chess—at which it can outdo humans, but it remains limited to its set parameters.
- On the other hand, AGI envisions a broader, more generalised form of intelligence, not confined to any particular task (like humans).
Applications of AGI
- Healthcare: It can redefine diagnostics, treatment planning, and personalised medicine by integrating and analysing vast datasets, far beyond the capabilities of humans.
- Finance and business: AGI could automate various processes and enhance the overall decision-making, offering real-time analytics and market predictions with accuracy.
Hence both statements are correct.
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Consider the following statements with reference to the Artificial Gen...
Explanation:
Statement 1:
- Artificial General Intelligence (AGI) refers to a machine or software that can perform any intellectual task that a human can do. This includes tasks such as reasoning, problem-solving, learning, and understanding natural language.
- AGI aims to replicate human-like intelligence in machines, enabling them to adapt to various scenarios and learn from experience.
Statement 2:
- AGI can indeed be used in various sectors, including healthcare and financial sectors.
- In healthcare, AGI can be used for tasks such as medical diagnosis, personalized treatment plans, drug discovery, and patient monitoring.
- In the financial sector, AGI can be utilized for tasks like fraud detection, risk assessment, algorithmic trading, and customer service.
Therefore, both statements are correct as AGI has the potential to revolutionize various industries by performing tasks that were previously limited to human intelligence.