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Extracting ideas with ChatGPT

During the hype sparked by the realease of ChatGPT 3, I wanted to learn more about this new tool everybody was talking about. People on the 2 platforms I was using extensively, LinkedIn and YouTube were all posting different things that they experimented with ChatGPT 3. It seemed that everyone was talking about how ChatGPT will end our careers and how cool and awesome it was. I know it was mostly an attention grabber. I also saw other, more technical people post all kind of things they managed to get the AI to spit out, from code to excerpts of complicated scientific subjects.
I didn’t share their hype and enthusiasm. I mostly felt uneasy, worried and curious. I’m highlighting these emotions because they are central to this article and will reveal how soon.
It took me a few weeks to try ChatGPT myself. In fact, I first used it to help me write this article - not as you may think, though. I didn’t use ChatGPT to write any word of this article. Instead, I used it to generate a summary of the transcript of the video below:
Here is the summary that ChatGPT generated for me:
{insert summary here}
The reason I wanted to use ChatGPT to generate a summary of the transcript was two-fold:
You see, the most liked comment of the video is from a person who added the summary of the transcript of the video generated by ChatGPT. I wanted to test and see if the summary generated by ChatGPT for me was anything similar to the one generated in the most liked comment of the video.
I wanted to see if the summary generated by ChatGPT reflected included the ideas and insights I gained after watching the video. I really wanted to see if ChatGPT was a tool I could use to quickly extract ideas from lengthy videos and, extrapolationg, possibly lengthy pieces of text.



Summary 1: Reid Hoffman and Sam Altman discuss the business opportunities that will arise from large language models and APIs. They discuss how companies can create unique businesses by tuning existing models and creating a middle layer of value. They also discuss how AI will accelerate scientific progress, with AI-dedicated products, tools that make scientists more productive, and AI that can help solve the alignment problem.
Summary 2: In this transcript, Sam Altman and Reid Hoffman discuss the potential of AI in the next couple of years. Altman predicts that language models will go much further than people think, and that we will get true multimodal models working. He also believes that AI will become the biggest technological platform of the generation, and that it will seep into almost every aspect of life. Altman also predicts that the cost of intelligence and energy will trend rapidly towards zero, and that this will have a seismic shift on the cost structure of society. Lastly, Altman believes that the metaverse will be a new container for software and a new computer interaction thing, and that AI will be a legitimate technological revolution.
Reid Hoffman and Sam Altman discuss the potential of AI in the coming years and the business opportunities that will arise from it. They believe that large language models and APIs will create unique businesses by tuning existing models and creating a middle layer of value. They also discuss how AI will accelerate scientific progress, with AI-dedicated products, tools that make scientists more productive, and AI that can help solve the alignment problem. Altman predicts that language models will go much further than people think, and that we will get true multimodal models working. He also believes that AI will become the biggest technological platform of the generation, and that it will seep into almost every aspect of life. Altman also predicts that the cost of intelligence and energy will trend rapidly towards zero, and that this will have a seismic shift on the cost structure of society. Lastly, Altman believes that the metaverse will be a new container for software and a new computer interaction thing, and that AI will be a legitimate technological revolution.

Large language models will create opportunities for new businesses to challenge Google in search products and provide human-level chatbot interfaces for medical and educational services. Multimodal models and agents using language interfaces to complete tasks will also be significant trends, and successful businesses will focus on creating something unique and differentiated by fine-tuning existing large language models for specific purposes. Access to data will be key to success in the field of AI, and businesses will need to consider data privacy and security as well as how language models can be used to improve existing products and services, create new products and services, automate tasks, and provide personalized experiences for customers.

Main Topics:
1. Business Opportunities with APIs: There are many business opportunities that can be created with the use of APIs, such as copywriting, education services, and medical services.
2. Multimodal Models: Multimodal models will open up new possibilities for businesses, such as a human-level chatbot interface and agents that can use computers to do things for users.
3. Science Acceleration: AI can be used to accelerate scientific progress, such as with AlphaFold and tools that make scientists more productive.
4. Alignment Problem: The alignment problem is the challenge of creating AI that does what is in the best interest of humanity and avoids misuse. Self-improving systems may help to solve this problem. 5: Language models are expected to make significant progress in the next couple of years, with the development of multimodal models and models that can continuously learn.
6: AI has become a buzzword, and there is a risk that the field may fall apart. It is important to look for the next paradigm and make predictions based on what is likely to work.
7: AI is expected to have a major impact on many areas, including financial markets, and the cost of intelligence and energy are expected to trend towards zero.
8: The intersection of the metaverse and AI is uncertain, but it is likely that the metaverse will fit into the new world of AI rather than the other way around.
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