The author shares their personal view, considering AI as "good" in terms of its capabilities but "bad" in terms of its potential harm, citing issues such as copyright infringement, mass unemployment, bias, and misuse in tasks it isn't ready for. The article concludes by inviting the reader to share their own perspective on AI.
Key takeaways:
- The author suggests that the terms "good" and "bad" are too vague to describe AI, and proposes using terms like "harmful", "helpful", "capable", and "incapable" instead.
- The author believes that AI is "good" in the sense that it is "quite capable", but "bad" in the sense that it is "harmful" due to unresolved issues such as copyright infringement, mass unemployment, bias, and misuse.
- The author encourages readers to form their own opinions about AI, emphasizing the importance of understanding what is meant by terms like "good" and "bad".
- The author suggests that the term "AI" is often used to refer to LLMs, implying that the term may be used too broadly or inaccurately.