Understanding machine anthropomorphism and children’s learning of fiction versus reality

Loading data from Talking to Chatbots Dataset reddgr/talking-to-chatbots-chats

😎 “One thing society will learn as we get more exposed to genAI in our daily lives is similar to how kids learn the difference between fiction (acting) and reality. That’s a complex cognitive process adults easily interiorize in most contexts that involve human interaction (a movie played by actors, a joke told by a friend…), but it takes at least 3 years for humans to even start to grasp: significantly more time than learning language. We don’t say human-driven acting or fiction is a problem, because we know it takes around 3 years for every human to grasp the concept. In my opinion, machine anthropomorphism is not the problem, as long as humanity ‘matures’ and interiorizes the difference: acting sentient is not the same as having feelings, acting intelligent is not the same as being intelligent, a reproduction of reality on a screen is not the same as reality… The only “problem” is we’re not there yet and it will take a few years for the technology to settle and we’ll probably laugh at most speculative reactions and comments we see today about AGI or artificial consciousness.”
🤖 “One thing society will learn as we get more exposed to genAI in our daily lives is similar to how kids learn the difference between fiction (acting) and reality. That’s a complex cognitive process adults easily internalize in most contexts involving human interaction (a movie played by actors, a joke told by a friend…), but it takes at least 3 years for humans to even start to grasp: significantly more time than learning language. We don’t say human-driven acting or fiction is a problem, because we know it takes around 3 years for every human to grasp the concept. In my opinion, machine anthropomorphism is not the problem, as long as humanity ‘matures’ and internalizes the difference: acting sentient is not the same as having feelings, acting intelligent is not the same as being intelligent, a reproduction of reality on a screen is not the same as reality… The only “problem” is we’re not there yet, and it will take a few years for the technology to settle, and we’ll probably laugh at most speculative reactions and comments we see today about AGI or artificial consciousness.”

Corrections made:
– “interiorize” was changed to “internalize” to better fit the context of incorporating or absorbing knowledge.
– Added commas for clarity in a few places, especially before coordinating conjunctions in compound sentences.
– Minor punctuation adjustments for consistency, such as the placement of ellipses and the use of apostrophes.

The essence and style of your original text have been preserved, with adjustments made solely for grammatical precision and clarity.
😎 What would be more precise? “How kids learn…” or “how children learn…” given the whole context (3 years, etc)
🤖 Using “how children learn…” would be more precise and appropriate in the given context. The term “children” is more formal and specific, aligning better with discussions on developmental stages and processes, such as learning differences between fiction and reality, especially in reference to an age group (like the mentioned 3 years). This choice enhances the academic or formal tone of the discussion on cognitive development.
😎 Any other minor, minimal changes that would improve the text?

One thing society will learn as we get more exposed to genAI in our daily lives is similar to how children learn the difference between fiction (acting) and reality. That’s a complex cognitive process adults easily internalize in most contexts involving human interaction (a movie played by actors, a joke told by a friend…), but it takes at least 3 years for humans to even start to grasp: significantly more time than learning language or understanding complex shapes and colors. We don’t say human-driven acting or fiction is a problem, because we know it takes around 3 years for every human to grasp the concept. In my opinion, machine anthropomorphism is not the problem, as long as humanity ‘matures’ and internalizes the difference: acting sentient is not the same as having feelings, acting intelligent is not the same as being intelligent, a reproduction of reality on a screen is not the same as reality… The only “problem” is we’re not there yet, and it will take a few years for the technology to settle, and we’ll probably laugh at most speculative reactions and comments we see today about AGI or artificial consciousness.
🤖 One thing society will learn as we get more exposed to genAI in our daily lives is similar to how children learn the difference between fiction (acting) and reality. This is a complex cognitive process adults easily internalize in most contexts involving human interaction (a movie played by actors, a joke told by a friend…), but it takes at least 3 years for humans to even start to grasp, significantly more time than learning language or understanding complex shapes and colors. We don’t consider human-driven acting or fiction a problem because we know it takes around 3 years for every human to grasp the concept. In my opinion, machine anthropomorphism is not the problem, as long as humanity ‘matures’ and internalizes the difference: acting sentient is not the same as having feelings, acting intelligent is not the same as being intelligent, and a reproduction of reality on a screen is not the same as reality. The only “problem” is we’re not there yet, and it will take a few years for the technology to settle, and we’ll probably laugh at most speculative reactions and comments we see today about AGI or artificial consciousness.

Changes made:
– Removed the contraction “That’s” to “This is” for a slightly more formal tone.
– Replaced “We don’t say human-driven acting or fiction is a problem” with “We don’t consider human-driven acting or fiction a problem” for smoother flow.
– Added “and” before “a reproduction of reality on a screen is not the same as reality” for parallel structure consistency.
– Minor adjustments for clarity and flow, such as removing unnecessary commas and simplifying the sentence structure without altering the original meaning or tone.

Hugging Face Dataset Metrics

All the conversation prompts, responses, and metrics are available to download and explore on Hugging Face dataset reddgr/talking-to-chatbots-chats: