The Inside Story of ChatGPT’s Astonishing Potential | Greg Brockman | TED

TED

The Inside Story of ChatGPT’s Astonishing Potential | Greg Brockman | TED by TED

In his TED talk, CEO of OpenAI, Greg Brockman, discusses the potential of artificial intelligence (AI) and the responsibility that comes with it. He demonstrates the capabilities of ChatGPT, a language model that uses unsupervised learning and human feedback to expand its abilities, highlighting its potential to solve complex problems when used collaboratively with humans. Brockman emphasizes the importance of incremental development and ongoing safety management to build a technology that benefits humanity while acknowledging the potential dangers of AI. He also defends OpenAI's controversial decision to put their technology out in the public to harness global feedback and push the limits of AI.

00:00:00

In this section, Greg Brockman talks about how OpenAI is building tools for AI rather than humans, using the example of a new DALL-E model that generates detailed images and an app for ChatGPT to use on someone's behalf. He shows how the AI can take care of ideation and creative back-and-forth, and carry out someone's intent by integrating with other applications. Brockman explains that this new way of thinking about user interfaces allows AI to take away the details from humans and expand the power of what it can do. However, he also emphasizes that traditional UIs are still valuable, and the new interface is just an augmented way to build them.

00:05:00

In this section, the speaker explains the two-step process they use to train ChatGPT. The first step involves unsupervised learning, which immerses the AI in the whole internet and asks it to predict what comes next in text it has never seen before. The process imbues ChatGPT with various skills that allow it to solve math problems, among other things. The second step is to teach the AI what to do with these skills by providing feedback. The feedback process involves multiple suggestions, which human evaluators rate, reinforcing not just the answer itself, but also the entire process that the AI used to come up with that answer. Feedback from users enables the team to improve the model continually.

00:10:00

In this section of the TED talk, Greg Brockman explains the collaboration between a human and an AI to solve impossible problems. He demonstrates this collaboration with ChatGPT, an AI tool that enables humans to provide guidance to automate a data analysis model for data scientists, who analyze 30 years' worth of AI papers on arXiv using exploratory graphs. Brockman’s demonstration showcases how humans and AI will work together as a species to solve difficult tasks.

00:15:00

In this section, Greg Brockman shares the story of how ChatGPT provided helpful information to save a dog's life when a human with a medical professional used it as a brainstorming partner. Brockman reminds us that these systems are not perfect and should not be overly relied on, but the story shows the potential of collaboration between humans and artificial intelligence to achieve outcomes that may not have been possible otherwise. He emphasizes that getting AI right will require participation from everyone and we must become literate in this technology. Brockman believes that together we can achieve the OpenAI mission of ensuring that artificial general intelligence benefits all of humanity. Chris Anderson asks Brockman how he developed this technology, and Brockman explains that it was the result of deliberate choices and getting teams of people who are different from each other to work together harmoniously. Additionally, Brockman discusses the idea of emergence, where when you get more of a thing, different things can emerge, such as ant colonies or city centers.

00:20:00

In this section, Greg Brockman, the CEO of OpenAI, discusses the capabilities of its language model, ChatGPT, which can add 40-digit numbers. However, when it adds a 40-digit number plus a 35-digit number, it often gets it wrong, indicating a lack of generalization. Brockman argues that this is due to the smooth scaling capabilities of intelligence and the need for incremental deployment to ensure proper supervision with high-quality feedback. He believes that as OpenAI expands the scale and receives human feedback, they can use this technology to move towards truth and wisdom with a high degree of confidence. Brockman also defends OpenAI's controversial stance of putting their technology out in the public, as they want to push the limits of AI technology and harness global feedback.

00:25:00

In this section, Greg Brockman discusses the responsibility that comes with creating artificial intelligence and the potential dangers that it poses. He states that the traditional approach of building AI in secret and hoping safety measures are adequate is terrifying and irresponsible. Instead, Brockman stresses the importance of letting reality play out and giving people time to provide input and feedback. He also emphasizes the importance of incremental development and ongoing safety management. Brockman suggests that the collective responsibility in managing the development of AI is necessary to build a technology that benefits humanity.

00:30:00

In this section, Greg Brockman is thanked for his TED talk and for exposing the audience to the potential of ChatGPT.

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