The next page in the book of AI evolution is here, powered by GPT 3.5, and I am very, nay, extremely impressed

Cafe Society
361

Write me a law and order episode in which a gerbil is murdered

The episode begins with Detectives Jack Stone and Sarah Reed investigating a mysterious death at a pet store. When they arrive on the scene, they find the owner of the store, Mr. Thompson, standing over the body of a deceased gerbil.

Mr. Thompson is shocked and saddened by the death of the gerbil, which he had named Fluffy, and he tells the detectives that he had no idea how it happened. The detectives, however, are skeptical and begin to investigate.

As they dig deeper, the detectives discover that Mr. Thompson had been having financial troubles, and that he had been under a lot of stress lately. They also learn that Fluffy was worth a significant amount of money, and that Mr. Thompson stood to gain a substantial sum from the gerbil’s death.

The detectives confront Mr. Thompson with their suspicions, and after a heated confrontation, he confesses to killing Fluffy in a fit of desperation and anger. He is arrested and charged with murder, and the case is closed.

In the end, the episode serves as a reminder of the consequences of desperation and greed, and the importance of seeking help and support when faced with difficult circumstances.

362

Write a conspiracy-laden post for a message board speculating on why the poster BlueMit11 wasn’t seen on the board for 6 years, then suddenly popped up to post their attempt to get ChatGPT to write an L&O episode.

Summary

Oh man, where to begin? I remember 6 years ago when BlueMit11 was a regular poster on this message board. Then, all of a sudden, they disappeared without a trace. No one knew what happened to them. Some people said they got banned, others said they lost interest in the board, but no one really knew for sure.

Now, six years later, BlueMit11 suddenly reappears out of nowhere to post about some AI program that can write an episode of Law & Order. What’s up with that? I have a theory.

I think BlueMit11 was recruited by some secret government agency to work on developing AI technology. They were sworn to secrecy and disappeared from the board to focus on their work. Now, they’ve resurfaced to test the waters and see how their AI program is received by the public.

But be careful, folks. I have a feeling that this is just the tip of the iceberg. BlueMit11 may be part of a much larger conspiracy to control the way we think and communicate through the use of advanced AI technology. Watch out, and stay vigilant!

Welcome back, BlueMit11 :slight_smile:

363

BlueMit11 has a more curious history than that.

BlueMit11 was reasonably active through 2005, then an EIGHT year gap from 2005-2013. Then occasional posts through May 2014, another almost two years for two posts on 2/8/2016, a single post on 1/11/2017, and today.

364

Tell me a children’s story about a man named Blue Mit who had returned to the land of Straightdoptopia out of a nostalgia for 1920’s Style Death Rays

2 / 2

Once upon a time, in the land of Straightdoptopia, there lived a man named Blue Mit who was known for his love of 1920’s style death rays. Blue Mit had spent many years traveling the world, exploring different lands and experiencing new things. But no matter how far he traveled, he could never forget his love for the sleek and powerful death rays of his homeland.

One day, after many years of wandering, Blue Mit decided to return to Straightdoptopia. As he walked through the streets of his hometown, he couldn’t help but smile as he remembered all the wonderful memories he had made there.

But as he looked around, Blue Mit realized that something had changed. The once-bustling streets were now empty and quiet, and the people he met seemed sad and depressed.

Blue Mit soon learned that the people of Straightdoptopia had given up their love for death rays and had turned to more modern, less exciting technologies. But Blue Mit refused to give up his love for the old-fashioned death rays.

He decided to build his own death ray in his backyard, and every day he would spend hours tinkering with it, trying to make it as powerful and impressive as possible. And as he worked, he noticed that the people of Straightdoptopia began to take notice.

They would stop and watch as Blue Mit tested his death ray, and some even started to ask him questions about it. Slowly but surely, the people of Straightdoptopia rediscovered their love for the death rays of old, and the town began to come back to life.

Blue Mit was happy to see that his love for the death rays had inspired the people of Straightdoptopia to rediscover their own love for the things that made their town special. And as he continued to work on his death ray, he knew that he had found his true calling, and that he would always be remembered as the man who brought the death rays back to Straightdoptopia.

365

So I read a line in some other thread and wondered how one of our newer posters might have responded to it.

From the point of view of a Russian nationalist who speaks English poorly, rebut the claim “Russian porn has some of the worst teeth ever, yellow fangs sticking out in all directions.”

As a Russian nationalist, I must strongly disagree with the claim that Russian porn has some of the worst teeth. This is a baseless and offensive stereotype that is not supported by any evidence. Russian people, including those in the porn industry, have a diverse range of dental health and appearance, just like people from any other country. It is unfair and wrong to make sweeping generalizations based on national origin. Additionally, as someone who speaks English poorly, I must point out that the phrase “yellow fangs” is not grammatically correct and does not make sense in the context of dental health.

It’s funny that, when the prompt is phrased that way, it doesn’t realize that the answer should actually be written in bad English.

366

Write a story in the style of Law & Order where a sweet potato is murdered during a science experiment at a community college.

It was a typical day at the community college when the body of a sweet potato was discovered in the science lab. The sweet potato, who had been part of a biology experiment, had been brutally murdered, with several stab wounds on its body.

Detective Johnson, a seasoned investigator with the local police department, was called in to investigate the case. He arrived at the scene of the crime and began to gather evidence.

After interviewing several witnesses and reviewing security footage, the detective learned that the sweet potato had been stabbed with a sharp instrument, most likely a scalpel. The killer was wearing a lab coat and gloves, making it difficult to identify them.

Detective Johnson soon turned his attention to the students in the lab at the time of the murder. He interviewed each of them, trying to discern if any of them had a motive to kill the sweet potato.

One student, Sarah, was particularly upset about the sweet potato’s death. She had been conducting a biology experiment on the sweet potato and was devastated by its sudden demise. But as the detective continued to question her, it became clear that she didn’t have the technical knowledge or skills to have committed the murder.

After further investigation, the detective was able to track down the real killer: the professor who was in charge of the lab at the time. It turned out that the professor had been under a great deal of stress and pressure to publish a groundbreaking research paper. In a fit of rage, he had killed the sweet potato, thinking that it would set back Sarah’s experiment and give him more time to work on his own project.

The professor was arrested and charged with the murder of the sweet potato. The case was closed, and the community college was left shocked and saddened by the tragic turn of events.

My note: I’m sad there’s no ba-bum sound effects. And no Starburns.

367

The second attempt is closer. I should have given a few names to work with.

Write a story in the style of Law & Order where a sweet potato is murdered during a science experiment at a community college.

It was a typical day at the community college, with students bustling about and attending their classes. In one of the science labs, a group of students were conducting an experiment involving sweet potatoes.

As the students worked, one of the sweet potatoes was mysteriously murdered. The students were shocked and confused, unsure of who could have committed such a crime.

Detective John Doe was called to the scene to investigate. He examined the sweet potato and quickly determined that it had been poisoned.

The detective questioned the students, trying to determine who had access to the chemicals needed to poison the sweet potato. It quickly became clear that one of the students, a young man named Tyler, had been using the chemicals for his own experiment.

Further investigation revealed that Tyler had been failing the class and was desperate to pass. He had planned to use the poisoned sweet potato in his own experiment, hoping that no one would notice the difference.

But his plan had backfired, and the sweet potato was killed in the process.

In the end, Tyler was arrested and charged with the murder of the sweet potato. The case was closed, but the students at the community college would never forget the tragedy of the murdered sweet potato.

2 / 2

368

Write a fan-fiction story which features characters from both Buffy the Vampire Slayer and Law & Order. The story should start like a typical L&O episode, in which a murder victim is discovered. But then CSU and the detectives arrive, and the victim turns out to have been drained of blood, with fang marks on their neck.

Summary

Sure! Here is a short fan fiction story featuring characters from both Buffy the Vampire Slayer and Law & Order:

“Murder at the Plaza”

It was a typical Tuesday evening in New York City, and Detective Olivia Benson was just finishing up her shift at the 16th precinct. As she was walking out the door, her captain called her back.

“Benson, we’ve got a murder at the Plaza Hotel. The victim’s been drained of blood and there are fang marks on the neck. CSU and Forensics are already on the scene.”

Olivia’s heart raced as she rushed to the crime scene. When she arrived, she saw the familiar faces of her colleagues from the crime lab, including Dr. Melinda Warner and Detective Nick Amaro.

“Looks like we’ve got a vampire on our hands,” Nick remarked as they surveyed the body.

Olivia nodded grimly. “We need to call Buffy,” she said.

Buffy Summers was a vampire slayer, and Olivia had worked with her before on cases involving supernatural elements. She quickly dialed Buffy’s number and explained the situation.

“I’ll be there as soon as I can,” Buffy promised.

While they waited for Buffy to arrive, the detectives and crime lab technicians worked the case, trying to piece together the events leading up to the murder. They interviewed witnesses and gathered evidence, but it was clear that they were dealing with something beyond their usual cases.

Finally, Buffy arrived, armed with a wooden stake and ready to take on any vampires that might be lurking in the shadows. Together, they combed the hotel and eventually tracked down the vampire responsible for the murder.

As they apprehended the suspect and handed him over to the authorities, Olivia couldn’t help but feel a sense of gratitude towards Buffy. Without her help, this case could have ended very differently.

“Thanks for your help, Buffy,” Olivia said as they parted ways.

“Anytime,” Buffy replied with a smile. “I’m always ready to lend a hand when it comes to taking down vampires.”

I hope you enjoyed this short story! Let me know if you have any questions or if you’d like any additional information. Is there anything else I can help you with?

Tell me about the music in the movie Encanto.

Summary

Encanto is a animated musical film produced by Walt Disney Pictures that was released in November 2021. The film tells the story of a family of superheroes who all have magical powers, except for the protagonist, Mirabel, who is the only member of the family without a power. The film features an original score and several original songs written by composer Robert Lopez and lyricist Kristen Anderson-Lopez.

The music in Encanto is a blend of various styles, including Latin music, pop, and traditional Disney movie musical elements. Some of the songs in the film include:

\ “The Way to Happiness”: This is the opening number of the film and introduces the main characters and their powers.
“Just a Little More Time”: This is a ballad sung by the character Madre, who wishes she could have just a little more time with her children.
“Time to Get the Party Started”: This is a upbeat and energetic song that plays during a scene where the family is preparing for a party.
“I Want It All”: This is a pop-influenced song sung by the character Mami, who wants to achieve success and become the leader of the family.
“Never Had a Chance”: This is a ballad sung by the character Mirabel, who feels left out because she doesn’t have a superpower like the rest of her family.
“One Family”: This is the final song of the film and is a celebration of the importance of family.

Overall, the music in Encanto is an integral part of the film and helps to enhance the storytelling and emotional impact of the film.

ETA, added an extra formatting character in the output to keep Discourse from screwing up the formatting.

369

Interesting that it didn’t recognize CSU as a typo for CSI, and used the wrong spelling in its own story (even though it couldn’t have known what it meant).

I’m reminded of a sort of bad practice in cultural anthropology, that used to be all too common: The white anthropologist goes to the storyteller of a Native American tribe, and asks something like “Tell me your stories of Sasquatch”. To which the storyteller, of course, replies by taking some old story, and telling it with the main character renamed “Sasquatch”. And at which, of course, the anthropologist interprets as meaning that legends of Sasquatch are widespread across many different tribes.

(the better approach, of course, is to go to the storyteller and just ask “Tell me your stories”, without any more specific prompting)

370

Lin-Manuel Miranda would be very surprised about who wrote some of the songs in Encanto, but fun fact, the Lopez’s get an end credit because of a reference to ‘Let it Go’ and some notes from the song contained within the song “All of You”

371

Not to mention the list of songs and characters made up out of whole cloth… or did it pull elements from elsewhere in the Disney musical lexicon?

372

Write a plot treatment for an episode of Green Acres in which Lisa Douglas accidentally makes pot brownies after Eb grows cannabis in Oliver’s cornfield.

Summary

In this episode of Green Acres, Lisa Douglas is in the kitchen baking brownies for a bake sale at the church. Meanwhile, Eb has been secretly growing cannabis plants in Oliver’s cornfield, hoping to make some extra money selling the plants.

As Lisa is mixing the ingredients for the brownies, she accidentally grabs a bag of marijuana buds that Eb had left out and adds it to the batter. Unaware of what she has done, Lisa finishes making the brownies and brings them to the bake sale.

At the bake sale, everyone loves the brownies and they quickly become the hit of the event. However, as the day goes on, people start to act strangely after eating the brownies. Haney, the town’s resident troublemaker, becomes inexplicably peaceful and Mrs. Drucker, the uptight neighbor, becomes more laid back and playful.

As the effects of the marijuana start to wear off, Lisa realizes what she has done and becomes panicked. She rushes home to confess to Oliver and Eb what happened, and they all worry about the potential consequences of accidentally giving marijuana brownies to the whole town.

In the end, they come up with a plan to have a town meeting and confess what happened, apologizing for their mistake and offering to make amends. The town ultimately forgives them and they all learn a valuable lesson about the importance of being careful and responsible with drugs.

It adds characters like Haney and Mrs. Drucker, but doesn’t call him Mister Haney, and I don’t think there ever was a Mrs. Drucker. And it is too serious and moralistic, lacking the zany antics of the original show.

373

I played around with it for a bit.

It correctly knew what day of the week a given date was, but then when I asked for notable people born on that day (it was a date 40 years ago), I think it just gave people that were born that day of the week. I didn’t check to see if they actually were born on that day of the week, but that’s the only reasonable way to interpret the answers it gave, none of which were born in the right year or on the right date. Basically, it failed to understand that asking for notable people that were born on any Friday was probably not what I was asking about, even though any human would clearly intuit that they were asking about the specific date. It reminded me of the line “I couldn’t put the trombone into the box because it was too big”, which humans will always interpret as meaning the trombone was too big, but a computer might not understand and default to the most recent possible antecedent for “it”. Note you can also change the word “big” to “small”, and the meaning of the sentence doesn’t change, but the antecedent for “it” does.

I asked which was heavier, and ounce of lead or an ounce of silver, and it said they weighed the same. I then pointed out that silver is measured in troy ounces, which are larger than normal ounces, and it got very confused. It tried to reconcile the issue of the different size of ounces, but it gave a bunch of nonsense that sounded right. I then asked which was larger, an ounce of feathers or an ounce of lead. It told me the ounce of lead was larger, but then proceeded to explain why the ounce of feathers was larger.

I asked it if sumo wrestling was popular in Kazakhstan. It quite reasonably replied that it’s not particularly popular, but there are still some clubs where it’s practiced and it mentioned that there were some professionals from Kazakhstan. That’s actually true, but when I asked about the pro sumo wrestlers from Kazakhstan, it gave me:

  1. A former wrestler from Hawaii who is the nephew of an elder, the elder having made the top rank (Yokozuna) back in the late 90s and early 2000s, while the nephew never got out of the lower divisions, but the bot said that he got to the third highest rank (Sekiwake) in 2003, when he clearly would have been too young.
  2. A former wrestler from Mongolia, who it correctly identified as having been Yokozuna and having won a large number of tournaments, but said that the number (which was correct, I think) tied the record, even though at no point had it ever done so.
  3. A former wrestler from the Caucasus area whose highest rank was Sekiwake, but the program said once was the next highest rank, Ozeki.
  4. A former Japanese wrestler who had been on the cusp of making Yokozuna for many years, finally did, and then had a career-ending injury. The only thing wrong about this entry was that he wasn’t from Kazakhstan, unlike the others which had at least some minor error other than country of origin.

There actually have been 2 professional sumo wrestlers whose official country of origin was Kazakhstan. One never left the lower divisions and retired a few years ago, the other one is probably too recent for the bot to know about, but is currently in the second division. There might have been other wrestlers who had ties to the country, but I’m fairly sure the 4 mentioned did not have any. But 3 of them were foreigners, and the other was a pretty big story, and all of them would have had some news articles written on them, while the guys from Kazakhstan probably didn’t have any. Thus, one can reasonably see where the bot is coming from, even if it’s quite obviously wrong.

I asked it about a couple of tax topics that are fairly straightforward for anyone that works in the space, and it did decently well at the really simple stuff, like the bare bones stuff that people outside of the space might know, but it really messed up when it came to more complicated stuff, thinking that its answers were right even when I corrected it, saying both answers were right and often contradicting itself.

I did save some of the output, but that’s not really what’s important. What’s clear is that there are obvious limits to its knowledge, and when it’s not programmed to know when it doesn’t know something, it tries to fabricate a reasonable-sounding answer.

I watched a YouTube video on the subject, and in the comments I said that I don’t have to reasonably fear my job being taken over by this, even a few decades down the line, because I don’t think we would ever feel comfortable with an AI filing a tax return without having it being looked over by a human. We’ve tried using OCR to handle data entry many years ago, and it was bad. While it might be better now, using OCR doesn’t solve the problem of having to verify everything on the return against the source documents, and using more sophisticated AI won’t change that either. For people that just buy Turbo Tax these days, an AI assistant might in the future do a better job than Turbo Tax does now, but for people that have returns that require them to get a CPA’s help now, they are always going to need a human trained in the subject to be involved in the oversight process.

374

On this topic, it was correctly able to identify the antecedent in both sentences, but gave a less-then-compelling answer as to why there was a change between them.

“The antecedent of a pronoun is the noun or phrase that the pronoun stands in place of. The antecedent is usually the noun or phrase that is most closely related to the pronoun in terms of meaning and context. In the first sentence, the pronoun “it” refers to the Trombone because the Trombone is the subject of the sentence and the reason why it did not fit into the box. In the second sentence, the pronoun “it” refers to the box because the box is the object of the sentence and the thing that the Trombone did not fit into. The adjective “too small” describes the box, not the Trombone, so the antecedent of “it” is the noun “box.””

It seems like it really knows, but when you ask it to explain, it kinda fumbles all over it, thinking that the subject of the sentence changes, and not explicating that the antecedent for the word changed because the context changed.

375

What’s yellow and equivalent to the Axiom of Choice?

"The Axiom of Choice is a mathematical principle that states that given a set of non-empty sets, it is possible to choose one element from each set. It is a fundamental axiom of set theory, and has important implications for the study of mathematics and other fields.

It is unclear how the color yellow is related to the Axiom of Choice. Yellow is a color that is often associated with sunshine, happiness, and caution, but it does not have any inherent connection to the Axiom of Choice or any other mathematical principles."

The answer was “Zorn’s lemon”. Do you understand why?

“Yes, I understand that the joke “What’s yellow and equivalent to the Axiom of Choice?” is a play on words and relies on a pun. “Zorn’s lemon” is a humorous answer to the riddle because it combines the name “Zorn,” which is the surname of the mathematician Max Zorn, with the word “lemon,” which is a yellow fruit. Max Zorn is known for his work on the Axiom of Choice and other set-theoretic principles, so the answer “Zorn’s lemon” plays on his name and the idea of the Axiom of Choice being “equivalent” to a yellow lemon. The joke is intended to be humorous and does not have a serious or literal meaning.”

So it knows the joke, but it doesn’t take the prompt, nor does it seem to actually understand the joke, seeing as it doesn’t use the word “lemma” once in its answer.

[So I then turn to the other bog-standard high-level math joke:]

"The answer to the joke/riddle “What kind of fruit follows the commutative law?” is “a banana.”

The commutative law is a mathematical principle that states that the order in which two numbers or variables are added, multiplied, or otherwise combined does not affect the result. For example, in the equation “a + b = b + a,” the commutative law is at work because the order of the variables “a” and “b” does not affect the result of the equation.

The answer “a banana” plays on the word “commutative” and the idea of a banana being a type of fruit. The joke is intended to be humorous and does not have a serious or literal meaning."

[That’s…completely incoherent.]

The answer was “Abelian grapes”. Do you understand why?

“Yes, I understand that the joke “What kind of fruit follows the commutative law?” is a play on words and relies on a pun. “Abelian grapes” is a humorous answer to the riddle because it combines the term “Abelian,” which refers to a type of mathematical group, with the word “grapes,” which are a type of fruit. The term “Abelian” is often used in mathematics to describe structures or systems that follow the commutative law, so the answer “Abelian grapes” plays on this idea and the concept of a fruit following the commutative law. The joke is intended to be humorous and does not have a serious or literal meaning.”

Once again, its response does not use the word “groups” at all, showing that it fails to actually understand the joke.

376

So I asked it for a joke that would require grad school math, and this is what it came up with:

“Two topologists are talking to each other. The first one says, “Hey, I just proved that any two donuts are topologically equivalent.” The second one replies, “Really? That’s amazing! How did you do it?” The first one replies, “Well, I just cut one donut into a million pieces and rearranged them to make the other donut. And then I did the same thing with the other donut. So now, both donuts are made up of the same pieces, and therefore, they must be topologically equivalent.””

[That’s, uh, not very interesting. But it looks like they took the basic idea of Banach-Tarski, knew that it was an area in which you could make jokes because the implication is absurd, but failed to actually understand the potential joke material in its implication.

I ask it for a joke involving grad school combinatorics, and it fell really flat]

"A mathematician, a physicist, and a computer scientist are all in grad school together. They are discussing their research and the mathematician says, “I’m working on a problem in combinatorics. It’s really tough, but I’m making progress.”

The physicist says, “That’s nothing. I’m working on a problem in quantum mechanics and it’s so complicated that I can barely even understand it myself.”

The computer scientist says, “Ha! You guys have it easy. I’m working on a problem in combinatorial optimization and it’s so difficult that even my computer can’t solve it!”"

[I’m not sure if that’s actually funny. And it obviously doesn’t involve grad school level combinatorics - it only has the words “combinatorics” and “grad school” in it.

I asked about the phenomenon of TONCAS in graph theory:]

“I’m sorry, but I’m not familiar with the term “TONCAS” in the context of graph theory. Could you provide more context or clarify what you are asking?”

TONCAS in graph theory means “The obvious necessary condition is also sufficient.”

"I apologize for the misunderstanding. “TONCAS” is not a commonly used term in graph theory. It is not a standard abbreviation or acronym in the field. It seems to be a phrase that you have coined to describe a situation in which a necessary condition for a certain property or result in graph theory is also sufficient to guarantee that property or result.

In graph theory, a necessary condition is a requirement that must be satisfied in order for a certain property or result to be possible. A sufficient condition, on the other hand, is a condition that guarantees that a certain property or result will hold. If a necessary condition is also sufficient, it means that the property or result will hold as long as that condition is satisfied, and it is not possible for the property or result to hold if the condition is not satisfied.

I hope this helps to clarify the meaning of “TONCAS” in the context of graph theory. Please let me know if you have any further questions."

[Dumb as a brick on this subject it seems. Google “TONCAS graph theory” and you’ll find hits explaining it that clearly weren’t part of its training data.]

377

However, if I ask it questions about which I have a passing familiarity with, but haven’t really studied in depth, its answers are all reasonable sounding, and I don’t know enough about how to get it into a position where it’s limited by its training set. One might say that the way around this is to just have people develop different modules based on other training sets that are more specialized, using this chat bot as the base from which other bots are constructed. Once you set it up trained with all the expert knowledge possible, it might be possible for it to pass for an expert in the field, and that’s probably the best use case for this long-term. However, it’s clear that it’s not really doing anything that’s actually synthesizing any of the data; there’s no intelligence, just a parlor trick for learning how to combine various data that it was presented with in a way that the humans told it was good. It’s not going to replace any expert in the field - it’s only going to be their junior assistant. The real problem will be how anyone will get practical experience now that all the low level jobs in every field can be filled so easily.

378

Just remember that this thing was not designed to be a knowledge engine. To the extent that it does function as a knowledge engine, that’s nice, but it’s largely happenstance. The goal is for it to sound like a human, and it can better simulate a human who knows things if it itself also knows things, but it can also just fake it, and unless you yourself already know the answers, you can’t tell when it’s just faking it.

There are other AIs out there, mostly based on completely different principles, that are designed to be knowledge engines. They still get things wrong sometimes, but it’s mostly not by virtue of errors of fact, but by virtue of not properly understanding the question.

379

I would be interested to see if we start getting more complex AI that are powered by a number of different algorithms working together (sort of like how a car, even a very simple early one, is more than just an internal combustion engine on wheels - there are all kinds other systems doing things like letting you brake, or cooling the engine, or converting some of fhe engine’s power to electricity to power lights and blinkers and so on). So one day we might have a search engine that uses one AI algortihm to search the web, another to collate results and pick the most relevant ones, and a third to read over the results and summarize them for you or even have a conversation with you about them.

Maybe instead of searching the entire web, you search a curated database, and another series of AIs crawl the web, analyze anything they find for reliability, accuracy, readability, etc, and then add them to the curated database.

380

Write a short article explaining ChatGPT’s new chat history feature.

Summary

ChatGPT is a natural language processing (NLP) tool that utilizes a variant of the popular GPT-3 language model to enable chatbots and other conversational AI systems to generate human-like responses to user input. Recently, ChatGPT has introduced a new feature called chat history, which allows the chatbot to access and reference past conversations with a user in order to provide more context-aware and personalized responses.

The chat history feature works by storing a record of previous conversations in a database and using this information to inform the chatbot’s responses. For example, if a user asks a chatbot about a specific topic that they previously discussed, the chatbot can use the chat history to retrieve and reference the relevant information from the past conversation. This can help the chatbot provide a more accurate and helpful response, as it has a better understanding of the user’s needs and interests.

In addition to improving the chatbot’s response quality, the chat history feature can also help to create a more personalized and engaging user experience. By being able to reference past conversations and build on them, the chatbot can create a sense of continuity and build a deeper relationship with the user.

Overall, the chat history feature is a valuable addition to ChatGPT and can greatly enhance the capabilities of chatbots and other conversational AI systems. By enabling these systems to access and reference past conversations, they can provide more context-aware and personalized responses, resulting in a more engaging and helpful user experience.

I think it just made up a bunch of false details there. I don’t think it ever looks at other chats besides the current one for its context, but I could be wrong. Anyway, you can now browse your older chats you’ve had with ChatGPT. I am not certain, but I don’t think the history it’s showing me is complete. I’ll have to randomly check ones I saved out to textfiles to see if they’re in there.