I agree with the demo argument. It will be interesting to see more use cases for specific industry verticals (e.g. DocsGPT in healthcare, Intercom's new customer service modules, etc...).
Interesting article and very on point. An analogy that I like is that LLMs can be though of the modern day Graphical User Interfaces. While GUIs completely changed the game, the applications on top (Word, Excel, Browsers, Editors, etc.) were what shaped the day-to-day experience of most users. Similarly LLMs can the the underlying infrastructure for many applications that solve business problems.
Major AI companies including OpenAI should open-source their project. This will allow better introspection by developers who can contribute to the development, and potentially make these chatbots 'less scary'.
I agree with the demo argument. It will be interesting to see more use cases for specific industry verticals (e.g. DocsGPT in healthcare, Intercom's new customer service modules, etc...).
Interesting article and very on point. An analogy that I like is that LLMs can be though of the modern day Graphical User Interfaces. While GUIs completely changed the game, the applications on top (Word, Excel, Browsers, Editors, etc.) were what shaped the day-to-day experience of most users. Similarly LLMs can the the underlying infrastructure for many applications that solve business problems.
It was quite interesting how chip manufacturers such as NVIDIA could benefit from this AI Boom, thanks Alex for bringing that into context!
Here's a question I ask everywhere I go in AI land.
What are the compelling benefits of AI that justify creating what could be yet another existential risk?
Major AI companies including OpenAI should open-source their project. This will allow better introspection by developers who can contribute to the development, and potentially make these chatbots 'less scary'.