#A list of some things that GPT 3 was able to do:

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icy arch
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here are some fun/interesting/cool/useful things i have tested out with the AI -ask the ai how to visualize things better
-ask the ai to provide the sustainability of a certain restraunt, it provided a statement from 2018 about the buisnesses sustainablility
-ask the ai to use WMIG (word matching idea generator)- basically mad libs but it generates new ideas and inventions using combinations of random words from lists it generates
-use the ai to provide introspective insight using my own writing and actions
-use the ai to evaluate my own ideas
-use the ai to replicate how people act using descriptions of these people
-use the ai as a tree of life, continually providing feedback to identify species effectively. taxonomy classifier with just a series of questions.
-asked it to identify errors in text generated from speech to text software and it answered successfully. this means it has a concept of what words "sound like"
-finding software/tools for a specific job such as recording and replaying radio signals
-automatically create google dorks for footprinting
-using the AI to generate search queries to find what you are looking for
-use the AI to find materials/elements/compounds that exhibit desired properties
-finding patterns in number sequences and generating new ones that follow those patterns
-make it find citations and transform other citations into proper format.
-When given a list of letters with in a list with true or false values associated with each one gpt3 was able to tell that the pattern was that sharp letters with boxy/diagonal design were true while round letters were false. Ex: k=true O=false

rough spear
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asked it to identify errors in text generated from speech to text software and it answered successfully. this means it has a concept of what words "sound like"

Why do you think that ? I am guessing the text-to-speech software outputs words that exist but does not ensure grammar or coherence which ChatGPT can try to fix. I do not see where it would need to know what words sound like in that process.

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That said, it can emulate typos in text but I am not sure it needs to know what words sound like for that.

It might have a symbolic understanding of phonetics and might have found somewhere information about which sounds can be confused with other sounds from some language learning websites. However, just having that information does not mean it has a concept of what words sound like.

icy arch
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Well i gave it a sentance woth words that coulb be anything but sound like other words and it was able to guess the correct words

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Prompt: please decypher this text's origonal meaning (some of the words were misheard when written): I, the denizen of the united states, am proud to present a new way of getting around. This new train sis stem will revolution eyes the world and change the way we travel. The train uses mag rev technology and will have read used air resistance.

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Response: Based on the given text, it seems to be a message from someone in the United States who is proud to introduce a new transportation system. The new train system utilizes "mag rev" technology, which is most likely a reference to magnetic levitation, and it will apparently employ "air resistance." The author claims that this new train system will change the way people travel and even revolutionize the world.

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Prompt: please fix the typos

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Response: Sure, here is the corrected version of the text:

"I, a citizen of the United States, am proud to present a new way of getting around. This new train system will revolutionize the world and change the way we travel. The train uses maglev technology and will have reduced air resistance."

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It got all of the words correct except for president, which it decided was probably citizen instead but i essentially gave it a sentance where the words that are supposed to be there sound like the words that are there and it was able to tell what words belong there.

rough spear
icy arch
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Yes, thank you for taking an interest!