How outdated is ChatGPT?
Marc Hammoud
AI, ML, GAI, XR, AR, MV, Author, Speaker, 29k MSc, MSc, MCP, MCITP, ITIL, PMP, PSM, Prince2, Lean SSBB, CPD, CCIM, CTS, CEA, PhD candidate Linkedin Top Interviewing Voice, Top Executive Management Voice.
#ChatGPT is a large language model trained by OpenAI, which provides natural language processing capabilities to users. The model is based on #deeplearningalgorithms and has been trained on a vast amount of text data to generate human-like responses to natural language queries. With its ability to understand language, ChatGPT has quickly become a popular tool for a variety of practical applications, yet one should be very careful using any text generated by ChatGPT because those are often largely outdated (and wrong), biased and inaccurate!
The origin of #ChatGPT can be traced back to the development of artificial intelligence and machine learning. OpenAI , the organization behind the model, was founded in 2015 by a group of tech luminaries, including Elon Musk, Sam Altman, Greg Brockman, and others. Their mission was to build safe and beneficial AI that would benefit humanity as a whole. One of the first projects OpenAI undertook was the development of a natural language processing model that could generate human-like responses to text-based queries. This led to the development of the first version of GPT (Generative Pre-trained Transformer) in 2018.
Since its inception, #ChatGPT has been used in a wide range of practical applications. It has been integrated into various messaging platforms and is used to generate responses to customer inquiries in chatbots. The model has also been used in language translation and natural language understanding tasks, such as sentiment analysis and text classification.
Despite its numerous practical applications, #ChatGPT is not without its challenges. One of the primary concerns around the model is the issue of outdated data. #ChatGPT is a machine learning model that requires large amounts of data to train effectively. However, as the data used to train the model becomes outdated, the accuracy and relevancy of the model's responses are called into question.
We have put the question to #ChatGPT itself: "How old is your data?". The model interestingly answered: "My training data goes up to September 2021, which means my knowledge is current up to that point in time. However, I am constantly learning and adapting based on new information and data provided to me by users".
In today's world where information spreads at lightning speed, it's easy to forget the limitations of technology. #ChatGPT is capable of generating the equivalent of all written text in human history in just two weeks (thank you Jarrod Anderson for sharing this). However, its output can be hampered by outdated data, as its knowledge cutoff is limited to September 2021!!
Using #ChatGPT to answer questions about emerging technologies, such as #blockchain and #metaverse, is akin to asking a historian from the Jurassic period about the latest news. The information provided may be biased or incomplete, and it may not accurately reflect the current state of affairs.
While ChatGPT is a valuable tool for generating quick answers and generating conversation, it's important to recognize its limitations. As with any source of information, it's important to approach it with a critical eye and corroborate its output with other sources.
One potential issue with outdated data is that it can introduce bias into the model's responses. If the data used to train the model is biased, then the model will produce biased responses. This is a serious concern, as biased responses could lead to serious consequences. For example, if a chatbot uses biased language to respond to customer inquiries, it could result in discriminatory treatment of customers.
Another issue with outdated data is that it can result in the model producing incorrect responses. As language evolves over time, the data used to train the model may no longer reflect the current state of language. This can result in the model generating responses that are no longer accurate or relevant.
In conclusion, ChatGPT is a powerful tool for natural language processing that has numerous practical applications. However, its reliance on large amounts of data means that the accuracy and relevancy of its responses can be impacted by the issue of outdated data. As such, it is important to be aware of this issue and take steps to ensure that the data used to train the model is up-to-date and representative of current language use. Additionally, it is important to keep in mind that ChatGPT is not infallible and that its responses should be considered with critical thinking and evaluation.