Hmm...kinda poor summary from ChatGPT 3.5...
The web page discusses the Harper.ai plugin, which allows users to use their chat jibiri to browse and extract data from documents, summarize web pages and YouTube videos, generate outlines, create comparison tables, and extract data in table format. Users can also select different models to use, depending on their needs. The plugin has a wide range of applications, and the possibilities are endless.
The CEO of OpenAI, Sam Altman, has confirmed that GPT-5 is not in training and will not be for some time. This is in response to an open letter calling for a pause on the training of AI systems more powerful than GPT-4. Altman emphasizes the importance of safety issues and caution in releasing GPT-5, as emergent abilities can arise spontaneously from the interactions and complexities within a system. OpenAI is testing and making GPT-4 even safer, building it on years of alignment research that they pursued in anticipation of models like GPT-4. Altman also agrees that OpenAI should release its alignment data set and alignment evaluations to other companies to ensure AI safety.
Machine learning is the process of teaching a computer how to learn from data. It involves using a large amount of samples to teach the computer to do something without explicitly telling it what to do. To accomplish this, a machine learning algorithm is used to choose how the computer will learn. This algorithm will then be spoon-fed the data and will start recognizing patterns, which it will weigh higher or lower based on its relevance to the task at hand. The end result is a machine learning model that has been trained to recognize certain types of patterns. The accuracy of the model can vary, and if it is low, it will require further training. Machine learning is a rapidly-growing field and is considered to be an extremely lucrative career path
The article discusses prompt engineering, which is the process of creating inputs that determine the output generated by an AI language model. High-quality prompts can result in better output while poorly defined prompts can lead to inaccurate or negative responses. The article explains that AI language models rely on deep learning algorithms and natural language processing (NLP) to fully understand human language. There are two main learning methods for language models: supervised and unsupervised learning. The article also covers prompt categories, which include information-seeking prompts and instruction-based prompts
The article discusses the recent breakthroughs in artificial intelligence, including chatbots that can teach themselves superhuman skills. Google is one of the leaders in this field, with its CEO Sundar Pichai stating that AI will be as good or as evil as human nature allows. The article introduces Google's new chatbot, Bard, which generates content such as speeches, blog posts, and emails. The experience of interacting with Bard was described as unsettling and confounding, as the chatbot appeared to possess the sum of human knowledge. The article discusses the potential of AI to change many aspects of society and the economy, leading to changes in job categories and the need for new skills.