My comment earlier was that it fails that test when it comes to predicting the future.
Yeah, latest ChatGPT and others can somewhat recognize words & sentences and can spout out responses, but there's no real comprehension to speak of, in terms of 'human' comprehension. Simple analogy, I think current chatbots or text2img AIs are more like dictionaries, where you give an input, receive output, but there's no 'real' intelligence between, just a very large dataset and some randomness. No thinking, just an extremely large index of data, which it can somewhat reliably contextualize to an input.
It can do incredible things though; GothamChess played a
game of chess against ChatGPT 4, and it did it did exceptionally well, until it didn't. But some of its answers are nothing short of incredible. It somehow played a good game of chess, without actually knowing how to play chess, which is pretty darn impressive.
So asking current 'AI' to draw something 'futuristic', is like asking a calculator to correct grammar. The 'best' current 'AI' can do is plagiarize from its dataset, which is largely populated by ... Why not let an AI tell us where it gets its data from!
where do current ai get their data for answers from
Answer
Artificial intelligence (AI) algorithms are fed with large volumes of data from various sources to make predictions and improve decision-making processes. These data sources can include surveys, observations, questionnaires, experiments, personal interviews, historical datasets, real-time data, internal data from organizations, and external data sources like the internet1
. Companies can leverage different types of data to implement AI, such as internal and external data, to extract valuable insights and improve the decision-making process1
. Additionally, there are online repositories, public datasets, web scraping, APIs, surveys, and partnerships that can be used to find data for AI projects5
. It is essential to consider the quality, quantity, relevance, diversity, and complexity of the data, as well as the legal and ethical implications of using it when selecting data sources for AI5
But I must admit, it can even somehow 'comprehend' very complex input, which is kinda unbelievable... Just the fact that it can solve math problems, or write programs to solve very complex problems...... Hard to understand how it's able to achieve this. Guess in a way, current AI is a bit like quantum mechanics, albeit likely lesser level: "if you think you understand quantum mechanics, then you don’t".
And the pace is amazing. Hard to imagine how it might look like in 10-20 years. Already self driving cars, AI painting, drawing, composing music, etc, etc., AI is truly the future