"GPT-4: A Game-Changer in Problem-Solving and Creative Writing"
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AI GPT-4 Game-Changer Problem-Solving Creative Writing Technology

Eps 2: "GPT-4: A Game-Changer in Problem-Solving and Creative Writing"

— My cat accidentally made this podcast

In this 10 minute podcast, the hosts discuss GPT-4, the upcoming fourth iteration of OpenAI's text-generating AI system. They explain that GPT-4 will likely have a much larger training dataset than its predecessor, GPT-3, which will enable it to improve on the tasks that GPT-3 had trouble with, such as understanding context and tone. The hosts also explore some potential use cases for GPT-4, including creative writing and problem-solving. They note that GPT-3 was already able to generate convincing poetry and fiction, and speculate that GPT-4 may take this ability to new heights. Additionally, they suggest that GPT-4 could be useful for businesses or researchers looking to analyze and make sense of massive amounts of data, or for individuals seeking personalized support for mental health or wellness. Overall, the hosts are optimistic about the potential of GPT-4, but also acknowledge that ethical concerns around AI will continue to be a crucial issue as these technologies advance.

Seed data: Link 1
Host image: StyleGAN neural net
Content creation: GPT-3.5,

Host

Ronald Lee

Ronald Lee

Podcast Content
GPT-4 can solve difficult problems with greater accuracy, thanks to its broader general knowledge and problem solving abilities. Tabs GPT-4 is more creative and collaborative than ever before. It can generate, edit, and iterate with users on creative and technical writing tasks, such as composing songs, writing screenplays, or learning a user’s writing style. Input Explain the plot of Cinderella in a sentence where each word has to begin with the next letter in the alphabet from A to Z, without repeating any letters. Output A beautiful Cinderella, dwelling eagerly, finally gains happiness; inspiring jealous kin, love magically nurtures opulent prince; quietly rescues, slipper triumphs, uniting very wondrously, xenial youth zealously. GPT-4 surpasses ChatGPT in its advanced reasoning capabilities. ChatGPT Input Andrew is free from 11 am to 3 pm, Joanne is free from noon to 2 pm and then 3:30 pm to 5 pm. Hannah is available at noon for half an hour, and then 4 pm to 6 pm. What are some options for start times for a 30 minute meeting for Andrew, Hannah, and Joanne? Output Here is a list of their availability: - Andrew: 11 am to 3 pm - Joanne: noon to 2 pm, and 3:30 pm to 5 pm - Hannah: noon to 12:30 pm, and 4 pm to 6 pm Based on their availability, there is a 30-minute window where all three of them are available, which is from 4 pm to 4:30 pm. So, the meeting can be scheduled at 4 pm. GPT-4 Input Andrew is free from 11 am to 3 pm, Joanne is free from noon to 2 pm and then 3:30 pm to 5 pm. Hannah is available at noon for half an hour, and then 4 pm to 6 pm. What are some options for start times for a 30 minute meeting for Andrew, Hannah, and Joanne? Output Andrew: 11 am - 3 pm Joanne: 12 pm - 2 pm, 3:30 pm - 5 pm Hannah: 12 pm - 12:30 pm, 4 pm - 6 pm Common availability for a 30-minute meeting: 12 pm - 12:30 pm GPT-4 outperforms ChatGPT by scoring in higher approximate percentiles among test-takers. Uniform Bar Exam Biology Olympiad Following the research path from GPT, GPT-2, and GPT-3, our deep learning approach leverages more data and more computation to create increasingly sophisticated and capable language models. We spent 6 months making GPT-4 safer and more aligned. GPT-4 is 82% less likely to respond to requests for disallowed content and 40% more likely to produce factual responses than GPT-3.5 on our internal evaluations. Safety & alignment Training with human feedback We incorporated more human feedback, including feedback submitted by ChatGPT users, to improve GPT-4’s behavior. We also worked with over 50 experts for early feedback in domains including AI safety and security.Continuous improvement from real-world use We’ve applied lessons from real-world use of our previous models into GPT-4’s safety research and monitoring system. Like ChatGPT, we’ll be updating and improving GPT-4 at a regular cadence as more people use it. GPT-4-assisted safety research GPT-4’s advanced reasoning and instruction-following capabilities expedited our safety work. We used GPT-4 to help create training data for model fine-tuning and iterate on classifiers across training, evaluations, and monitoring. Built with GPT-4 We’ve collaborated with organizations building innovative products with GPT-4. Duolingo GPT-4 deepens the conversation on Duolingo. Be My Eyes Be My Eyes uses GPT-4 to transform visual accessibility. Stripe Stripe leverages GPT-4 to streamline user experience and combat fraud. Morgan Stanley Morgan Stanley wealth management deploys GPT-4 to organize its vast knowledge base. Khan Academy Khan Academy explores the potential for GPT-4 in a limited pilot program. Government of Iceland How Iceland is using GPT-4 to preserve its language. More on GPT-4 Research GPT-4 is the latest milestone in OpenAI’s effort in scaling up deep learning. Infrastructure GPT-4 was trained on Microsoft Azure AI supercomputers. Azure’s AI-optimized infrastructure also allows us to deliver GPT-4 to users around the world. Limitations GPT-4 still has many known limitations that we are working to address, such as social biases, hallucinations, and adversarial prompts. We encourage and facilitate transparency, user education, and wider AI literacy as society adopts these models. We also aim to expand the avenues of input people have in shaping our models. Availability GPT-4 is available on ChatGPT Plus and as an API for developers to build applications and services. We’re excited to see how people use GPT-4 as we work towards developing technologies that empower everyone.