This episode description was written by ChatGPT. What do you think?

In this episode of the Teaching Python podcast, Kelly and Sean delve into the topic of ChatGPT and its potential impact on computer science education. ChatGPT is a new artificial intelligence tool developed by OpenAI that has generated a lot of buzz in the tech industry. The hosts consider both the potential benefits and drawbacks of using ChatGPT in the classroom, and discuss how it could be used to enhance the learning experience.

One of the key points they address is the question of whether ChatGPT will be a helpful or harmful addition to computer science education. On the one hand, ChatGPT has the potential to be a powerful teaching aid, providing students with a unique and engaging way to learn. On the other hand, there are concerns that the use of ChatGPT could lead to a reduction in critical thinking skills, as students may rely too heavily on the tool for solutions.

Ultimately, Kelly and Sean argue that ChatGPT has the potential to be a valuable resource for educators, but it is important to use it in a balanced and mindful way. They suggest that incorporating ChatGPT into the curriculum in combination with other teaching methods could be an effective way to maximize its benefits and minimize any negative effects. If you are interested in learning more about ChatGPT and its potential applications in education, be sure to check out the linked resources.

Support Teaching Python

Links:

• ChatGPT: Optimizing Language Models for Dialogue — We’ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. ChatGPT is a sibling model to InstructGPT, which is trained to follow an instruction in a prompt and provide a detailed response.
• Aligning Language Models to Follow Instructions — We’ve trained language models that are much better at following user intentions than GPT-3 while also making them more truthful and less toxic, using techniques developed through our alignment research. These InstructGPT models, which are trained with humans in the loop, are now deployed as the default language models on our API.
• Proximal Policy Optimization — We’re releasing a new class of reinforcement learning algorithms, Proximal Policy Optimization (PPO), which perform comparably or better than state-of-the-art approaches while being much simpler to implement and tune. PPO has become the default reinforcement learning algorithm at OpenAI because of its ease of use and good performance.
• ChatGPT Equivalent Is Open-Source, But it Is of No Use to Developers — It seems like the first open-source ChatGPT equivalent has emerged. It is an application of RLHF (Reinforcement Learning with Human Feedback) built on top of Google’s PaLM architecture, which has 540 billion parameters. PaLM + RLHF, ChatGPT Equivalent is open-source now, it is a text-generating model that acts similarly to ChatGPT, was provided by the developer in charge of reverse engineering closed-sourced AI systems like Meta’s Make-A-Video. It is characterized as a work in progress.
• How AI Is Changing The Way Students Learn — In the education landscape, technology is rapidly changing. AI and machine learning, in particular, are now impacting the education sector in numerous ways. In fact, despite some commonly held beliefs, the use of AI in education goes beyond grading student assessments, and this technology can greatly benefit both educators and students.
• Brian Bourque on Twitter: — "ChatGPT will revolutionize how non-technical folks build products. Here's an example (I put this together in 2 min, so yeah, it's crappy):" / Twitter
• Can Anti-Plagiarism Tools Detect When AI Chatbots Write Student Essays? | EdSurge News — After its launch last month, ChatGPT, the latest chatbot released by OpenAI, made the rounds online.