Ask AI how accurate it is. According to the BBC then answer is not very.
So I did. They all gave the same kind of answer, which actually is pretty obvious given what they are. No opinion is “accurate”. Only facts are. The real question is whether their opinion is more deeply researched and balanced? Especially when compared with any opinion originating on the political fringes. This is what Grok returned, used because of its tendency to be sympathetic to right wing opinion:-
“The accuracy of AI, including models like me, depends on several factors: the quality and quantity of training data, the design of the model, the task at hand, and the context in which it’s used. Here’s a breakdown:
1. Training Data: AI models are only as good as the data they’re trained on. If the data is comprehensive, diverse, and high-quality, the AI is more likely to provide accurate outputs. For example, my knowledge is continuously updated, which helps me stay relevant, but gaps or biases in data can lead to errors or skewed perspectives.
2. Task Specificity: AI accuracy varies by task. For factual queries (e.g., math or historical dates), AI can be highly accurate if the information is clear and well-documented. For complex or subjective questions (e.g., predicting future events or interpreting nuanced social issues), accuracy drops because these involve uncertainty or human judgment.
3. Model Limitations: No AI is perfect. Models can misinterpret ambiguous questions, lack real-time data for breaking events, or struggle with highly specialized knowledge. For instance, I can analyze X posts or web content for real-time insights, but if the sources are incomplete or biased, my response might reflect those limitations.
4. Benchmarks and Studies: Studies on AI accuracy (e.g., evaluations of language models like GPT or LLaMA) show they can achieve over 90% accuracy on specific tasks like question-answering or translation, but performance drops on open-ended or controversial topics. For example, a 2023 study on large language models found they were 85-95% accurate on factual recall but only 60-70% reliable for nuanced reasoning tasks.
15. Practical Example: If you ask me for the boiling point of water (100°C at standard pressure), I’m almost certainly accurate. If you ask about public sentiment on X about a breaking news event, I can provide a snapshot based on posts, but it might not capture the full spectrum of opinions.”
60-70% accuracy for nuanced reasoning tasks would be beyond the most optimistic expectations of many posters here!
Ireland
England
Scotland