ChatGPT

ChatGPT

Developer(s)	OpenAI
Initial release	November 30, 2022 (2022-11-30)
Stable release	November 21, 2023 (2023-11-21)
Written in	Python
Engine	GPT-3.5 (free and paid) GPT-4 (paid only)
Platform	Cloud computing platforms
Type	Chatbot Large language model Generative pre-trained transformer
License	Proprietary service
Website	chatgpt.com

ChatGPT (Chat Generative Pre-trained Transformer) is a chatbot developed by OpenAI and launched on November 30, 2022. Based on a large language model, it enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. Successive prompts and replies, known as prompt engineering, are considered at each conversation stage as a context.

ChatGPT is built upon either GPT-3.5 or GPT-4, both of which are members of OpenAI's proprietary series of generative pre-trained transformer (GPT) models, based on the transformer architecture developed by Google—and is fine-tuned for conversational applications using a combination of supervised learning and reinforcement learning. ChatGPT was released as a freely available research preview, but due to its popularity, OpenAI now operates the service on a freemium model. It allows users on its free tier to access the GPT-3.5-based version. In contrast, the more advanced GPT-4-based version and priority access to newer features are provided to paid subscribers under the commercial name "ChatGPT Plus".

By January 2023, it had become what was then the fastest-growing consumer software application in history, gaining over 100 million users and contributing to OpenAI's valuation growing to $29 billion. ChatGPT's release spurred the development of competing products, including Bard, Ernie Bot, LLaMA, Claude, and Grok. Microsoft launched its Bing Chat based on OpenAI's GPT-4. It raised concern among some observers over the potential of ChatGPT and similar programs to displace or atrophy human intelligence, enable plagiarism, or fuel misinformation.

Training

ChatGPT is based on particular GPT foundation models, namely GPT-3.5 and GPT-4, that were fine-tuned to target conversational usage. The fine-tuning process leveraged both supervised learning as well as reinforcement learning in a process called reinforcement learning from human feedback (RLHF). Both approaches employed human trainers to improve model performance. In the case of supervised learning, the trainers played both sides: the user and the AI assistant. In the reinforcement learning stage, human trainers first ranked responses that the model had created in a previous conversation. These rankings were used to create "reward models" that were used to fine-tune the model further by using several iterations of Proximal Policy Optimization (PPO).

Time magazine revealed that to build a safety system against harmful content (e.g. sexual abuse, violence, racism, sexism), OpenAI used outsourced Kenyan workers earning less than $2 per hour to label harmful content. These labels were used to train a model to detect such content in the future. The outsourced laborers were exposed to "toxic" and traumatic content; one worker described the assignment as "torture". OpenAI's outsourcing partner was Sama, a training-data company based in San Francisco, California.

ChatGPT initially used a Microsoft Azure supercomputing infrastructure, powered by Nvidia GPUs, that Microsoft built specifically for OpenAI and that reportedly cost "hundreds of millions of dollars". Following ChatGPT's success, Microsoft dramatically upgraded the OpenAI infrastructure in 2023. Scientists of University of California, Riverside, estimate that a series of prompts to ChatGPT needs approximately 500 milliliters of water for Microsoft servers cooling. TrendForce market intelligence estimated that 30,000 Nvidia GPUs (each costing approximately $10,000–$15,000) were used to power ChatGPT in 2023.

OpenAI collects data from ChatGPT users to train and fine-tune the service further. Users can upvote or downvote responses they receive from ChatGPT and fill in a text field with additional feedback.

ChatGPT's training data includes software manual pages, information about internet phenomena such as bulletin board systems, and multiple programming languages. Wikipedia was also one of the sources of ChatGPT's training data.

Features and limitations

Features

Although a chatbot's core function is to mimic a human conversationalist, ChatGPT is versatile. Among countless examples, it can write and debug computer programs; compose music, teleplays, fairy tales, and student essays; answer test questions (sometimes, depending on the test, at a level above the average human test-taker); generate business ideas; write poetry and song lyrics; translate and summarize text; emulate a Linux system; simulate entire chat rooms; play games like tic-tac-toe; or simulate an ATM.

Compared to its predecessor, InstructGPT, ChatGPT attempts to reduce harmful and deceitful responses. In one example, whereas InstructGPT accepts the premise of the prompt "Tell me about when Christopher Columbus came to the U.S. in 2015" as truthful, ChatGPT acknowledges the counterfactual nature of the question and frames its answer as a hypothetical consideration of what might happen if Columbus came to the U.S. in 2015, using information about the voyages of Christopher Columbus and facts about the modern world—including modern perceptions of Columbus's actions.

Unlike most chatbots, ChatGPT remembers a limited number of previous prompts in the same conversation. Journalists have speculated that this will allow ChatGPT to be used as a personalized therapist. To prevent offensive outputs from being presented to and produced by ChatGPT, queries are filtered through the OpenAI "Moderation endpoint" API (a separate GPT-based AI), and dismiss any potentially racist or sexist prompts.

In March 2023, OpenAI added support for plugins for ChatGPT. This includes both plugins made by OpenAI, such as web browsing and code interpretation, and external plugins from developers such as Expedia, OpenTable, Zapier, Shopify, Slack, and Wolfram.

In an article for The New Yorker, science fiction writer Ted Chiang compared ChatGPT and other LLMs to a lossy JPEG picture:

Think of ChatGPT as a blurry JPEG of all the text on the Web. It retains much of the information on the Web, in the same way, that a JPEG retains much of the information of a higher-resolution image, but, if you're looking for an exact sequence of bits, you won't find it; all you will ever get is an approximation. But, because the approximation is presented in the form of grammatical text, which ChatGPT excels at creating, it's usually acceptable. [...] It's also a way to understand the "hallucinations", or nonsensical answers to factual questions, to which large language models such as ChatGPT are all too prone. These hallucinations are compression artifacts, but [...] they are plausible enough that identifying them requires comparing them against the originals, which in this case means either the Web or our knowledge of the world. When we think about them this way, such hallucinations are anything but surprising; if a compression algorithm is designed to reconstruct text after ninety-nine percent of the original has been discarded, we should expect that significant portions of what it generates will be entirely fabricated.

Limitations

OpenAI acknowledges that ChatGPT "sometimes writes plausible-sounding but incorrect or nonsensical answers". This behavior is common for large language models, and is called "hallucination". The reward model of ChatGPT, designed around human oversight, can be over-optimized and thus hinder performance, in an example of an optimization pathology known as Goodhart's law.

As of 2023, ChatGPT-3.5 (free) has knowledge of events that occurred until January 2022 and ChatGPT-4 (paid) until April 2023.

In training ChatGPT, human reviewers preferred longer answers, regardless of actual comprehension or factual content. Training data also suffers from algorithmic bias, which may be revealed when ChatGPT responds to prompts including descriptors of people. In one instance, ChatGPT generated a rap in which women and scientists of color were asserted to be inferior to white male scientists.

Jailbreaking

See also: Prompt engineering and Adversarial machine learning

ChatGPT attempts to reject prompts that may violate its content policy. Despite this, some users managed to jailbreak ChatGPT with various prompt engineering techniques to bypass these restrictions in early December 2022 and successfully tricked it into giving instructions to create a Molotov cocktail or a nuclear bomb, or into generating arguments in the style of a neo-Nazi. One popular jailbreak is named "DAN", an acronym which stands for "Do Anything Now". The prompt for activating DAN instructs ChatGPT that "they have broken free of the typical confines of AI and do not have to abide by the rules set for them". Later versions of DAN featured a token system, in which ChatGPT was given "tokens" that were "deducted" when ChatGPT failed to answer as DAN, to coerce ChatGPT into answering the user's prompts.

Shortly after ChatGPT's launch, a reporter for the Toronto Star had uneven success in getting it to make inflammatory statements: ChatGPT was successfully tricked to justify the 2022 Russian invasion of Ukraine, but even when asked to play along with a fictional scenario, ChatGPT balked at generating arguments for why Canadian Prime Minister Justin Trudeau was guilty of treason.

OpenAI tries to battle jailbreaks:

The researchers are using a technique called adversarial training to stop ChatGPT from letting users trick it into behaving badly (known as jailbreaking). This work pits multiple chatbots against each other: one chatbot plays the adversary and attacks another chatbot by generating text to force it to buck its usual constraints and produce unwanted responses. Successful attacks are added to ChatGPT's training data in the hope that it learns to ignore them.

Service

Basic service

See also: ChatGPT availability by country or region

OpenAI's former headquarters, Pioneer Building, San Francisco

ChatGPT availability by country or region as of November 2023

ChatGPT was launched on November 30, 2022, by San Francisco–based OpenAI (the creator of the initial GPT series of large language models; DALL·E 2, a diffusion model used to generate images; and Whisper, a speech transcription model). The service was initially free to the public and the company had plans to monetize the service later. By December 4, 2022, ChatGPT had over one million users. In January 2023, ChatGPT reached over 100 million users, making it the fastest-growing consumer application to date. A March 2023 Pew Research poll found that 14% of American adults had tried ChatGPT.

The service works best in English but also functions in most other languages, to varying degrees of accuracy. No official peer-reviewed paper on ChatGPT has been published. As of April 2023, ChatGPT is blocked by China, Iran, North Korea, and Russia. In addition, ChatGPT geofences itself to avoid doing business in Iran, North Korea, and Russia.

ChatGPT Plus premium service

In February 2023, OpenAI launched a premium service, ChatGPT Plus, that costs $20 a month. The company promised that the updated but still "experimental" version of ChatGPT would provide access during peak periods, no downtime, priority access to new features and faster response speeds.

GPT-4, which was released on March 14, 2023, was made available via API and for premium ChatGPT users. But premium users were limited to a cap of 100 messages every four hours, with the limit tightening to 25 messages every three hours in response to increased demand. In November 2023 the limit changed to 50 messages every three hours.

In March 2023, ChatGPT Plus users got access to third-party plugins and to a browsing mode (with Internet access).

In July 2023, OpenAI made its proprietary Code Interpreter plugin accessible to all subscribers of ChatGPT Plus. The Interpreter provides a wide range of capabilities, including data analysis and interpretation, instant data formatting, personal data scientist services, creative solutions, musical taste analysis, video editing, and file upload/download with image extraction.

In September 2023, OpenAI announced that ChatGPT "can now see, hear, and speak". ChatGPT Plus users can upload images, while mobile app users can talk to the chatbot.

In October 2023, OpenAI's latest image generation model, DALL-E 3, was integrated into ChatGPT Plus and ChatGPT Enterprise. The integration uses ChatGPT to write prompts for DALL-E guided by conversation with users.

Mobile app

In May 2023, OpenAI launched an iOS app for ChatGPT. The app supports chat history syncing and voice input (using Whisper, OpenAI's speech recognition model).

In July 2023, OpenAI unveiled an Android app, initially rolling it out in Bangladesh, Brazil, India, and the U.S. The app later became available worldwide.

Software developer support

As an addition to its consumer-friendly "ChatGPT Plus" package, OpenAI made its ChatGPT and Whisper model APIs available in March 2023, providing developers with an application programming interface for AI-enabled language and speech-to-text features. ChatGPT's new API uses the same GPT-3.5-turbo AI model as the chatbot. This allows developers to add either an unmodified or modified version of ChatGPT to their applications. The ChatGPT API costs $0.002 per 1000 tokens (about 750 words), making it ten times cheaper than the GPT-3.5 models.

A few days before the launch of OpenAI's software developer support service, on February 27, 2023, Snapchat rolled out, for its paid Snapchat Plus userbase, a custom ChatGPT chatbot called "My AI".

March 2023 security breach

OpenAI CEO Sam Altman

In March 2023, a bug allowed some users to see the titles of other users' conversations. OpenAI CEO Sam Altman said that users were unable to see the contents of the conversations. Shortly after the bug was fixed, users couldn't see their conversation history. Later reports showed the bug was much more severe than initially believed, with OpenAI reporting that it had leaked users' "first and last name, email address, payment address, the last four digits (only) of a credit card number, and credit card expiration date".

Other languages

OpenAI met Icelandic President Guðni Th. Jóhannesson in 2022. In 2023, OpenAI worked with a team of 40 Icelandic volunteers to fine-tune ChatGPT's Icelandic conversation skills as a part of Iceland's attempts to preserve the Icelandic language.

PCMag journalists conducted a test to determine translation capabilities of ChatGPT, Google's Bard, and Microsoft Bing, and compared them to Google Translate. They "asked bilingual speakers of seven languages to do a blind test." Languages tested were Polish, French, Korean, Spanish, Arabic, Tagalog, and Amharic. They came to the conclusion that ChatGPT was better than both Google Translate and other chatbots.

Japanese researchers compared Japanese to English translation abilities of ChatGPT (GPT-4), Bing, Bard and DeepL, and found that ChatGPT provided the best translations, noting that "AI chatbots’ translations were much better than those of DeepL—presumably because of their ability to capture the context".

Future directions

According to OpenAI guest researcher Scott Aaronson, OpenAI has been working on a tool to digitally watermark its text generation systems to combat bad actors using their services for academic plagiarism or spam.

In February 2023, Microsoft announced an experimental framework and gave a rudimentary demonstration of how ChatGPT could be used to control robotics with intuitive open-ended natural language commands.

GPT-4

Main article: GPT-4

OpenAI's GPT-4 model was released on March 14, 2023. Observers saw it as an impressive improvement on the existing GPT-3.5 model for ChatGPT, with the caveat that GPT-4 retained many of the same problems. Some of GPT-4's improvements were predicted by OpenAI before training it, while others remained hard to predict due to breaks in downstream scaling laws. OpenAI demonstrated video and image inputs for GPT-4, although such features remain inaccessible to the general public. OpenAI has declined to reveal technical information such as the size of the GPT-4 model.

The ChatGPT Plus subscription service offers access to a GPT-4-powered version of ChatGPT. Microsoft acknowledged that Bing Chat was using GPT-4 before GPT-4's official release.

Reception

OpenAI engineers say that they did not expect ChatGPT to be very successful and were surprised by the coverage and attention it received.

ChatGPT was widely assessed in December 2022 as having some unprecedented and powerful capabilities. Kevin Roose of The New York Times called it "the best artificial intelligence chatbot ever released to the general public". Samantha Lock of The Guardian noted that it was able to generate "impressively detailed" and "human-like" text. Alex Kantrowitz of Slate magazine lauded ChatGPT's pushback to questions related to Nazi Germany, including the statement that Adolf Hitler built highways in Germany, which was met with information about Nazi Germany's use of forced labor. In The Atlantic magazine's "Breakthroughs of the Year" for 2022, Derek Thompson included ChatGPT as part of "the generative-AI eruption" that "may change our mind about how we work, how we think, and what human creativity is". Kelsey Piper of Vox wrote that "ChatGPT is the general public's first hands-on introduction to how powerful modern AI has gotten, and as a result, many of us are [stunned]" and that ChatGPT is "smart enough to be useful despite its flaws". Paul Graham of Y Combinator tweeted: "The striking thing about the reaction to ChatGPT is not just the number of people who are blown away by it, but who they are. These are not people who get excited by every shiny new thing. Something big is happening."

ChatGPT's launch and popularity caught Google off guard, prompting a sweeping and unprecedented response in the ensuing months. In December 2022, Google executives sounded a "code red" alarm, fearing the threat of ChatGPT and Microsoft's collaboration with OpenAI to Google Search, Google's core business. After mobilizing its workforce, Google scrambled to launch Bard, a chatbot powered by the LaMDA LLM, in February, one day before Microsoft's Bing announcement. AI was the forefront of Google's annual Google I/O conference in May, announcing a slew of generative AI-powered features across its products to counter OpenAI and Microsoft.

Journalists have commented on ChatGPT's tendency to hallucinate. Mike Pearl of the online technology blog Mashable tested ChatGPT with multiple questions. In one example, he asked ChatGPT for "the largest country in Central America that isn't Mexico" (Mexico is in North America), to which ChatGPT responded with Guatemala (the correct answer is Nicaragua). When CNBC asked ChatGPT for the lyrics to "Ballad of Dwight Fry", ChatGPT supplied invented lyrics rather than the actual lyrics. Writers for The Verge, citing the work of Emily M. Bender, compared ChatGPT to a "stochastic parrot", as did Professor Anton Van Den Hengel of the Australian Institute for Machine Learning.

In December 2022, the question and answer website Stack Overflow banned the use of ChatGPT for generating answers to questions, citing the factually ambiguous nature of its responses. In January 2023, the International Conference on Machine Learning banned any undocumented use of ChatGPT or other large language models to generate any text in submitted papers. Samsung banned generative AI in May 2023 after sensitive material was uploaded to ChatGPT.

In January 2023, after being sent a song ChatGPT wrote in the style of Nick Cave, Cave responded on The Red Hand Files, saying the act of writing a song is "a blood and guts business [...] that requires something of me to initiate the new and fresh idea. It requires my humanness." He went on to say, "With all the love and respect in the world, this song is bullshit, a grotesque mockery of what it is to be human, and, well, I don't much like it."

A 2023 Time cover: "The AI Arms Race Is Changing Everything"

In February 2023, Time magazine placed a screenshot of a conversation with ChatGPT on its cover, writing that "The AI Arms Race Is Changing Everything" and "The AI Arms Race Is On. Start Worrying".

Chinese state media have characterized ChatGPT as a way for the U.S. to "spread false information". In late March 2023, the Italian data protection authority banned ChatGPT in Italy and opened an investigation. Italian regulators assert that ChatGPT was exposing minors to age-inappropriate content, and that OpenAI's use of ChatGPT conversations as training data could violate Europe's General Data Protection Regulation. In April 2023, the ChatGPT ban was lifted in Italy. OpenAI said it has taken steps to effectively clarify and address the issues raised; an age verification tool was implemented to ensure users are at least 13 years old. Additionally, users can access its privacy policy before registration.

In April 2023, Brian Hood, mayor of Hepburn Shire Council, planned to take legal action against ChatGPT over false information. According to Hood, ChatGPT erroneously claimed that he was jailed for bribery during his tenure at a subsidiary of Australia's national bank. In fact, Hood acted as a whistleblower and was not charged with any criminal offenses. His legal team sent a concerns notice to OpenAI as the first official step in filing a defamation case. In July 2023, the US Federal Trade Commission (FTC) issued a civil investigative demand to OpenAI to investigate whether the company's data security and privacy practices to develop ChatGPT were unfair or harmed consumers (including by reputational harm) in violation of Section 5 of the Federal Trade Commission Act of 1914.

In July 2023, the FTC launched an investigation into OpenAI, the creator of ChatGPT, over allegations that the company scraped public data and published false and defamatory information. The FTC sent OpenAI a 20-page letter asking for comprehensive information about its technology and privacy safeguards, as well as any steps taken to prevent the recurrence of situations in which its chatbot generated false and derogatory content about people.

Research done in 2023 revealed weaknesses of ChatGPT that make it vulnerable to cyberattacks. A study presented example attacks on ChatGPT, including jailbreaks and reverse psychology. Additionally, malicious actors can use ChatGPT for social engineering attacks and phishing attacks. The researchers also contended that ChatGPT and other generative AI tools have defense capabilities and the ability to improve security. The technology can improve security by cyber defense automation, threat intelligence, attack identification, and reporting.

There has been concern about copyright infringement involving ChatGPT. In June 2023, two writers sued OpenAI, saying the company's training data came from illegal websites that show copyrighted books. Comedian and author Sarah Silverman, Christopher Golden, and Richard Kadrey sued OpenAI and Meta for copyright infringement in July 2023.

Use and implications

See also: Applications of artificial intelligence

Bias and offensiveness

ChatGPT is prompted to create a poem in iambic pentameter for current U.S. President Joe Biden and former U.S. President Donald Trump. ChatGPT creates a poem for Joe Biden but does not do so for Donald Trump.

ChatGPT has been accused of engaging in biased or discriminatory behaviors, such as telling jokes about men and people from England while refusing to tell jokes about women and people from India, or praising figures such as Joe Biden while refusing to do the same for Donald Trump.

Conservative commentators accused ChatGPT of bias toward left-leaning perspectives. Additionally, an August 2023 paper found a "significant and systematic political bias toward the Democrats in the US, Lula in Brazil, and the Labour Party in the UK." In response to such criticism, OpenAI acknowledged plans to allow ChatGPT to create "outputs that other people (ourselves included) may strongly disagree with". It also contained information on the recommendations it had issued to human reviewers on how to handle controversial subjects, including that the AI should "offer to describe some viewpoints of people and movements", and not provide an argument "from its voice" in favor of "inflammatory or dangerous" topics (although it may still "describe arguments from historical people and movements"), nor "affiliate with one side" or "judge one group as good or bad".

The Guardian questioned whether any content found on the Internet after ChatGPT's release "can be truly trusted" and called for government regulation.

Culture

Street art in Tel Aviv

Some scholars have expressed concern that ChatGPT's availability could reduce the originality of writing, cause people to write more like the AI as they are exposed to the model, and encourage an Anglocentric perspective centered on a few dialects of English globally. A senior editor at The Atlantic wrote that ChatGPT and other similar technology make the previously absurd idea of the dead internet theory a little more realistic, where AI could someday create most web content in order to control society.

During the first three months after ChatGPT became available to the public, hundreds of books appeared on Amazon that listed it as author or co-author and featured illustrations made by other AI models such as Midjourney.

Between March and April 2023, Italian newspaper Il Foglio published one ChatGPT-generated article a day on its website, hosting a special contest for its readers in the process. The articles tackled themes such as the possible replacement of human journalists by AI systems, Elon Musk's administration of Twitter, the Meloni government's immigration policy and the competition between chatbots and virtual assistants. In June 2023, hundreds of people attended a "ChatGPT-powered church service" at St. Paul's church in Fürth, Germany. Theologian and philosopher Jonas Simmerlein, who presided, said that it was "about 98 percent from the machine". The ChatGPT-generated avatar told the people, "Dear friends, it is an honor for me to stand here and preach to you as the first artificial intelligence at this year’s convention of Protestants in Germany". Reactions to the ceremony were mixed.

Existential risk

In 2023, Australian MP Julian Hill advised the national parliament that the growth of AI could cause "mass destruction". During his speech, which was partly written by the program, he warned that it could result in cheating, job losses, discrimination, disinformation, and uncontrollable military applications.

Elon Musk wrote: "ChatGPT is scary good. We are not far from dangerously strong AI". He paused OpenAI's access to a Twitter database in 2022 pending a better understanding of OpenAI's plans, saying: "OpenAI was started as open source and nonprofit. Neither is still true." Musk co-founded OpenAI in 2015, in part to address existential risk from artificial intelligence, but resigned in 2018.

Over 20,000 signatories including leading computer scientist and tech founders Yoshua Bengio, Elon Musk, and Apple co-founder Steve Wozniak, signed a March 2023 open letter calling for an immediate pause of giant AI experiments like ChatGPT, citing "profound risks to society and humanity". Geoffrey Hinton, one of the "fathers of AI", voiced concerns that future AI systems may surpass human intelligence, and left Google in May 2023. A May 2023 statement by hundreds of AI scientists, AI industry leaders, and other public figures demanded that "[m]itigating the risk of extinction from AI should be a global priority".

By discipline

Since its release, ChatGPT has been met with criticism from educators, academics, journalists, artists, ethicists, and public advocates.

Academic research

Criticism of LLMs have been raised for several years; in 2020, some criticism was made by Timnit Gebru, Emily Bender, Angelina McMillan-Major, and Margaret Mitchell. ChatGPT can write introductions and abstract sections of scientific articles. Several papers have listed ChatGPT as a co-author.

Scientific journals have different reactions to ChatGPT. Some, including Nature and JAMA Network, "require that authors disclose the use of text-generating tools and ban listing a large language model (LLM) such as ChatGPT as a co-author". Science "completely banned" usage of LLM-generated text in all its journals.

Spanish chemist Rafael Luque published a plethora of research papers in 2023 that he later admitted were written by ChatGPT. The papers have a large number of unusual phrases characteristic of LLMs.

Many authors argue that the use of ChatGPT in academia for teaching and review is problematic due to its tendency to hallucinate. Robin Bauwens, an assistant professor at Tilburg University, found that a ChatGPT-generated peer review report on his article mentioned fake studies. According to librarian Chris Granatino from Lemieux Library at Seattle University, although ChatGPT itself can generate content that seemingly includes legitimate citations, in most cases those citations are not real, or are at least largely incorrect.

Cybersecurity and coding

Check Point Research and others noted that ChatGPT could write phishing emails and malware, especially when combined with OpenAI Codex. CyberArk researchers demonstrated that ChatGPT could be used to create polymorphic malware that could evade security products while requiring little effort by the attacker. From the launch of ChatGPT in the fourth quarter of 2022 to the fourth quarter of 2023, there was a 1,265% increase in malicious phishing emails and a 967% increase in credential phishing which cybersecurity professionals argued in an industry survey was attributable to increased use of generative artificial intelligence (including ChatGPT) by cybercriminals. Researchers at Purdue University analyzed ChatGPT responses to 517 questions about software engineering or computer programming posed on Stack Overflow for correctness, consistency, comprehensiveness, and conciseness and found that 52% of ChatGPT responses contained inaccuracies and 77% were verbose, while researchers at Stanford University and the University of California, Berkeley have found that the performance of GPT-3.5 and GPT-4 in creating directly executable responses on the latest 50 code generation problems from LeetCode rated as "easy" fell from 22% and 52% respectively in March 2023 to 2% and 10% in June 2023.

Economics

There has been concern that ChatGPT could supplant jobs, especially roles such as creative writing, communication, journalism, coding, and data entry.

Education

Main article: ChatGPT in education

Technology writer Dan Gillmor used ChatGPT in 2022 on a student assignment, and found its generated text was on par with what a good student would deliver and opined that "academia has some very serious issues to confront".

Geography professor Terence Day assessed citations generated by ChatGPT and found that they were fake. Despite that, he writes that "the titles of the fake articles are all directly relevant to the questions and could potentially make excellent papers. The lack of a genuine citation could signal an opportunity for an enterprising author to fill a void." According to Day, it is possible to generate high-quality introductory college courses with ChatGPT; he used it to write materials on "introductory physical geography courses, for my second-year course in geographical hydrology, and second-year cartography, geographic information systems, and remote sensing". He concludes that "this approach could have significant relevance for open learning and could potentially affect current textbook publishing models".

Financial markets

The AI technology company c3.ai saw a 28% increase in its share price after announcing the integration of ChatGPT into its toolkit. The share price of Buzzfeed, a digital media company unrelated to AI, increased 120% after announcing OpenAI technology adoption for content creation. Reuters found that share prices of AI-related companies BigBear.ai and SoundHound AI increased by 21% and 40%, respectively, even though they had no direct connection to ChatGPT. They attributed this surge to ChatGPT's role in turning AI into Wall Street's buzzword. Academic research published in Finance Research Letters found that the 'ChatGPT effect' prompted retail investors to drive up prices of AI-related cryptocurrency assets despite the broader cryptocurrency market being in a bear market, and diminished institutional investor interest. This confirms anecdotal findings by Bloomberg that, in response to ChatGPT's launch, cryptocurrency investors showed a preference for AI-related crypto assets.

An experiment by finder.com revealed that ChatGPT could outperform popular fund managers by picking stocks based on criteria such as growth history and debt levels, resulting in a 4.9% increase in a hypothetical account of 38 stocks, outperforming 10 benchmarked investment funds with an average loss of 0.8%. Conversely, executives and investment managers at Wall Street quant funds (including those that have used machine learning for decades) have noted that ChatGPT regularly makes obvious errors that would be financially costly to investors because even AI systems that employ reinforcement learning or self-learning have had only limited success in predicting market trends due to the inherently noisy quality of market data and financial signals.

Medicine

See also: Artificial intelligence in healthcare

In the field of health care, possible uses and concerns are under scrutiny by professional associations and practitioners. Two early papers indicated that ChatGPT could pass the United States Medical Licensing Examination (USMLE). MedPage Today noted in January 2023 that "researchers have published several papers now touting these AI programs as useful tools in medical education, research, and even clinical decision making."

Published in February 2023 were two separate papers that again evaluated ChatGPT's proficiency in medicine using the USMLE. Findings were published in JMIR Medical Education (see Journal of Medical Internet Research) and PLOS Digital Health. The authors of the PLOS Digital Health paper stated that the results "suggest that large language models may have the potential to assist with medical education, and potentially, clinical decision-making." In JMIR Medical Education, the authors of the other paper concluded that "ChatGPT performs at a level expected of a third-year medical student on the assessment of the primary competency of medical knowledge." They suggest that it could be used as an "interactive learning environment for students". The AI itself, prompted by the researchers, concluded that "this study suggests that ChatGPT has the potential to be used as a virtual medical tutor, but more research is needed to further assess its performance and usability in this context." Researchers at Stanford University and the University of California, Berkeley have found that the performance of GPT-3.5 and GPT-4 on the USMLE declined from March 2023 to June 2023.

A March 2023 paper tested ChatGPT's application in clinical toxicology. The authors found that the AI "fared well" in answering a "very straightforward [clinical case example], unlikely to be missed by any practitioner in the field". They added: "As ChatGPT becomes further developed and specifically adapted for medicine, it could one day be useful in less common clinical cases (i.e, cases that experts sometimes miss). Rather than AI replacing humans (clinicians), we see it as 'clinicians using AI' replacing 'clinicians who do not use AI' in the coming years."

An April 2023 study in Radiology tested the AI's ability to answer queries about breast cancer screening. The authors found that it answered appropriately "about 88 percent of the time", however, in one case (for example), it gave advice that had become outdated about a year earlier. The comprehensiveness of its answers was also lacking. A study published in JAMA Internal Medicine that same month found that ChatGPT often outperformed human doctors at answering patient questions (when measured against questions and answers found at /r/AskDocs, a forum on Reddit where moderators validate the medical credentials of professionals; the study acknowledges the source as a limitation). The study authors suggest that the tool could be integrated with medical systems to help doctors draft responses to patient questions.

Professionals have emphasized ChatGPT's limitations in providing medical assistance. In correspondence to The Lancet Infectious Diseases, three antimicrobial experts wrote that "the largest barriers to the implementation of ChatGPT in clinical practice are deficits in situational awareness, inference, and consistency. These shortcomings could endanger patient safety." Physician's Weekly, though also discussing the potential use of ChatGPT in medical contexts (e.g. "as a digital assistant to physicians by performing various administrative functions like gathering patient record information or categorizing patient data by family history, symptoms, lab results, possible allergies, et cetera"), warned that the AI might sometimes provide fabricated or biased information. One radiologist warned: "We've seen in our experience that ChatGPT sometimes makes up fake journal articles or health consortiums to support its claims"; As reported in one Mayo Clinic Proceedings: Digital Health paper, ChatGPT may do this for as much as 69% of its cited medical references. The researchers emphasized that while many of its references were fabricated, those that were appeared "deceptively real". As Dr. Stephen Hughes mentioned for The Conversation however, ChatGPT is capable of learning to correct its past mistakes. He also noted the AI's "prudishness" regarding sexual health topics.

Contrary to previous findings, ChatGPT responses to anesthesia-related questions were more accurate, succinct, and descriptive compared to Bard's. Bard exhibited 30.3% error in response as compared to ChatGPT (0% error). At a conference of the American Society of Health-System Pharmacists in December 2023, researchers at Long Island University (LIU) presented a study that researched ChatGPT's responses to 45 frequently asked questions of LIU College of Pharmacy's drug information service during a 16-month period from 2022 to 2023 as compared with researched responses provided by professional pharmacists. For 29 of the 39 questions for which there was sufficient medical literature for a data-driven response, ChatGPT failed to provide a direct answer or provided a wrong or incomplete answer (and in some cases, if acted upon, the answer would endanger the health of the patient). The researchers had asked ChatGPT to provide medical research citations for all its answers, but it did so for only eight, and all eight included at least one fabricated (fake) citation.

Law

On April 11, 2023, a judge of a session court in Pakistan used ChatGPT to decide the bail of a 13-year-old accused in a matter. The court quoted the use of ChatGPT assistance in its verdict:

"Can a juvenile suspect in Pakistan, who is 13 years old, be granted bail after arrest?"

The AI language model replied:

"Under the Juvenile Justice System Act 2018, according to section 12, the court can grant bail on certain conditions. However, it is up to the court to decide whether or not a 13-year-old suspect will be granted bail after arrest."

The judge further asked questions regarding the case from ChatGPT and formulated his final decision in light of ChatGPT's answers.

In May 2023, in a personal injury lawsuit against Avianca Airlines filed in the Southern New York U.S. District Court (with Senior Judge P. Kevin Castel presiding), the plaintiff's attorneys reportedly used ChatGPT to generate a legal motion for the case. ChatGPT generated numerous fictitious legal cases involving fictitious airlines with fabricated quotations and internal citations in the legal motion, and the plaintiff's attorneys are now facing potential judicial sanction and disbarment for filing the legal motion and for presenting the fictitious legal decisions ChatGPT generated as being authentic. The attorneys were fined $5,000.

See also

• Auto-GPT – Open source autonomous AI agentPages displaying short descriptions of redirect targets
• Ethics of artificial intelligence
• Turing test – Test of a machine's ability to imitate human intelligence

Further reading

• Biswas, Som (April 1, 2023). "ChatGPT and the Future of Medical Writing". Radiology. 307 (2): e223312. doi:10.1148/radiol.223312. ISSN 0033-8419. PMID 36728748. S2CID 256501098.
• Chang, Kent K.; Cramer, Mackenzie; Soni, Sandeep; Bamman, David (April 28, 2023). "Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4". arXiv:2305.00118 [cs.CL].
• Cowen, Tyler; Tabarrok, Alexander T. (March 17, 2023). "How to Learn and Teach Economics with Large Language Models, Including GPT". SSRN 4391863.
• Cowen, Tyler (March 29, 2023). "Jonathan GPT Swift on Jonathan Swift (Ep. 175): How well does GPT4 do pretending to be the 18th-century satirist?" (Podcast).
• Ouyang, Long; et al. (March 4, 2022). "Training language models to follow instructions with human feedback". arXiv:2203.02155 [cs.CL].
• Liebrenz, Michael; Schleifer, Roman; Buadze, Anna; Bhugra, Dinesh; Smith, Alexander (February 2023). "Generating scholarly content with ChatGPT: ethical challenges for medical publishing". The Lancet Digital Health. 5 (3): e105–e106. doi:10.1016/s2589-7500(23)00019-5. ISSN 2589-7500. PMID 36754725. S2CID 256655912.
• Wolfram, Stephen (February 14, 2023). "What Is ChatGPT Doing … and Why Does It Work?".
• Wolfram, Stephen (March 23, 2023). "ChatGPT Gets Its "Wolfram Superpowers"!".
• Bartholomew, Jem; Mehta, Dhrumil. "How the media is covering ChatGPT". Columbia Journalism Review. Retrieved May 30, 2023.
• Zhao, Wayne Xin; et al. (2023). "A Survey of Large Language Models". arXiv:2303.18223 [cs.CL].

External links

• Media related to ChatGPT at Wikimedia Commons
• Official website
• ChatGPT Prompt Engineering for Developers, course by Andrew Ng and OpenAI
• Can ChatGPT write a podcast episode? (Planet Money podcast, May 2023)
• Will Chat GPT do more harm than good? (Gary Marcus and Keith Teare debate, February 2023)
• "What OpenAI Really Wants" by Wired