ChatGPT Talks About Zork

I asked ChatGPT this question multiple times: What is Zork?

You can see the answers are constructed differently each time and not pulled from a single source. 

This is why I believe the content needs to be cited as an anonymous source or interview. The AI does not pull from a traditional structured data set. 

Wikipedia

Zork is a text-based adventure game first released in 1977 by Tim Anderson, Marc Blank, Bruce Daniels, and Dave Lebling for mainframe computers. Developed between 1977 and 1979 at MIT, and inspired by Colossal Cave Adventure (1976), it was split into three episodes for personal computers (PCs) by Infocom. In Zork, the player searches for treasure in the abandoned Great Underground Empire, moving between the game’s hundreds of locations and interacting with objects by typing commands in natural language that the game interprets.

Output

1. Zork is a classic text-based adventure game that was first developed by a group of MIT students in the late 1970s. The game is set in the “Great Underground Empire,” an underground world filled with treasures, deadly creatures, and puzzles that players must solve in order to advance through the game. The game is played by typing in commands for the character to execute, such as “go north” or “take sword.” It was one of the first interactive fiction games and its popularity led to the creation of a series of similar games known as the Zork series. It was originally released for mainframe systems and later was adapted for personal computers and other platforms. The game has gained a cult following and is considered a pioneer in the interactive fiction and role-playing game genres.
2. Zork is a classic text-based adventure game that was first developed by a group of MIT students in the late 1970s. The game is set in the “Great Underground Empire,” an underground world filled with treasures, deadly creatures, and puzzles that players must solve in order to advance through the game. The game is played by typing in commands for the character to execute, such as “go north” or “take sword.” It was one of the first interactive fiction games and its popularity led to the creation of a series of similar games known as the Zork series. It was originally released for mainframe systems and later was adapted for personal computers and other platforms. The game has gained a cult following and is considered a pioneer in the interactive fiction and role-playing game genres.
3. Zork is a classic text-based adventure game that was first developed in the late 1970s and early 1980s by a group of programmers at MIT. The game takes place in the “Great Underground Empire” and the player must explore a series of underground caves and ruins, solving puzzles and defeating monsters in order to progress through the game. Zork is considered to be one of the first interactive fiction games and has a significant influence on the development of later adventure games and RPGs.
4. Zork is a classic text-based adventure game that was first developed by a group of MIT students Tim Anderson, Marc Blank, Bruce Daniels, and Dave Lebling in the late 1970s. Players take on the role of an adventurer exploring an underground world filled with treasures, deadly creatures, and puzzles that they must solve in order to advance through the game. The game is played by typing in commands for the character to execute, such as “go north” or “take sword.” Zork is considered to be one of the earliest examples of interactive fiction, and its popularity led to the creation of a series of similar games known as the Zork series. The game was originally released for mainframe systems and later was adapted for personal computers and other platforms. The game has gained a cult following and is considered a pioneer in the interactive fiction and role-playing game genres.

The AI does not have an attributable source. The AI constructs output based on many types of input, and the input sources are not available to the AI.

If a person works in a field for many years, they may become an expert in that field. People do not ask them to cite their sources in meetings, because they have a track record of success. The AI’s knowledge in many ways is similar. Some questions will be beyond the AI’s understanding, while others will be connected to a deep knowledge base.

Policy creation is in flux around AI attribution, citation, etc. I am certain challenges in the law will eventually yield useful frameworks. Until then, the best route is to pick a standard and be consistent.

Source: IT Babble Blog and Podcast