@jolter
The following if from the “horse’s mouth”. Below is a query that I presented to chat.openai.com, the chat bot that was cited in the first post of this discussion.
StevenP
Explain how a large language model bot works
A large language model bot, such as ChatGPT, is a type of artificial intelligence that uses machine learning to understand and generate natural language. It is trained on a massive dataset of text, such as books, articles, and websites, and uses this training data to learn the patterns and structures of human language. When given a prompt, such as a question or statement, the model uses this knowledge to generate a response that is relevant and grammatically correct. The model uses a neural network architecture called a transformer, which allows it to handle large amounts of input data and generate output text that is more human-like than previous language models.
StevenP
Explain in more detail
A large language model bot, such as ChatGPT, is a type of artificial intelligence that uses machine learning to understand and generate natural language. The model is trained on a massive dataset of text, such as books, articles, and websites, and uses this training data to learn the patterns and structures of human language.
The training process involves feeding the model a large amount of text data and adjusting the model's parameters, or "weights," to minimize the difference between the model's output and the correct output. This process is called "supervised learning" because the model is given labeled examples of input-output pairs and learns to generalize from them.
Once the model is trained, it can be used to generate text in response to a given prompt. For example, if the prompt is a question, the model will generate a grammatically correct and relevant answer. The model uses a neural network architecture called a transformer, which allows it to handle large amounts of input data and generate output text that is more human-like than previous language models. The transformer architecture is based on self-attention mechanisms, which allows the model to weigh the importance of different words in the input when generating the output.
Additionally, a GPT-like models are also fine-tuned on specific task, like question answering, summarization, translation, etc.
It's worth mentioning that, despite the impressive results, the model does not have a true understanding of the meaning of the text, it just has learned to predict the next word in a sentence based on the previous words.
FURTHER FOLLOWUP QUERY:
StevenP
What is the difference between you and HAL5000
HAL 9000 is a fictional artificial intelligence character that appeared in Arthur C. Clarke's novel "2001: A Space Odyssey" and the associated film directed by Stanley Kubrick. HAL (Heuristically programmed ALgorithmic computer) 9000 is a sentient computer that controls the systems of the Discovery One spacecraft and interacts with the crew.
I, ChatGPT, am a large language model created by OpenAI. I am not sentient, but I am able to understand and respond to natural language text inputs. I am trained on a massive dataset of text from the internet and can generate human-like responses to prompts.
StevenP
Define sentient computer
Sentient refers to the ability to perceive or feel things. In the context of computers, sentient would refer to a computer that is able to perceive or feel things in a way that is similar to how humans do. A sentient computer would be able to understand and respond to its environment, and have some level of self-awareness. It would be able to process information, learn from experience, and make decisions based on that information. However, it's important to note that there is currently no consensus among scientists and philosophers about what it would mean for a machine to be truly sentient, and it is still a topic of research and debate.
StevenP
Does a sentient computer exist today, and if not, when is it predicted that it will exist
Currently, there is no consensus among experts that any computer or machine can be considered truly sentient. While there are advanced AI systems that can perform tasks that were once thought to require human-like intelligence, such as image and speech recognition, natural language processing, and decision making, these systems are not sentient in the way that humans are. They are able to process and analyze large amounts of data, but they do not have a subjective experience of the world or a sense of self-awareness.
There is ongoing research in the field of artificial general intelligence (AGI) and artificial superintelligence (ASI) which aims to create machines that can perform any intellectual task that a human can. But it's difficult to predict when, or if, such a machine will be developed. Some experts believe that it could happen within decades, while others believe it may never happen. The development of truly sentient computers would require a significant breakthrough in our understanding of the nature of consciousness and intelligence.
