Intro
00:00:00The speaker believes that the metaverse is a huge opportunity and could be the biggest tech paradigm shift since the internet. He compares it to mobile technology, which was significant but had limited use cases compared to how he thinks the metaverse will impact everything. The potential for this new technology is an order of magnitude bigger than anything before it.
Open AI
00:01:28Open AI The co-founder of OpenAI, Sam Altman, reportedly has no equity in the for-profit version of the company because he is already wealthy enough and did not want it to cloud his judgment. The transformation from non-profit to for-profit was due to a shortfall in funding that they needed access to capital.
Using AI Tools Darmesh cleared his calendar for an entire week just so he could experiment with different AI tools. He used Chat GP and stitched together a few other tools like Google collab folder and mega upload which allowed him to create an intro rap song using Kanye West's voice model. Darmesh also shared insights on generative AI technology that excites him as well as Bill Gates' interest in it.
The Chat to Code Revolution
00:09:55The Chat to Code Revolution The ability to go from text to code is a third use case of generative AI that almost nobody talks about, which allows the creation of chat-based user experience for software. The new development in conversational AI enables multi-step dialogue and iterative process with context memory, allowing reverse roles where it asks questions instead of being told what to do.
Why Bill Gates is Buying Farmland Bill Gates' investment in farmland aims at reducing carbon emissions by developing sustainable agriculture practices through innovation and technology. He believes that addressing climate change requires not only renewable energy but also changes in how we produce food and manage land resources.
How does AI work?
00:18:05AI, such as GPT-3 and 4, is not just a simple knowledge base or auto-suggest tool. It is a reasoning engine that uses available data to logically come up with answers to questions beyond what can be explained by probabilistic models.
Is AI scary?
00:19:15The speaker believes that while some people may be scared of AI, it is just another tool that can amplify human ability and create new jobs. However, there are concerns about the potential for uncontrolled intelligence and dangerous outcomes if not properly managed. Some smart people have taken extreme precautions such as building bunkers in case of a doomsday scenario involving AI.
Sequoia's AI Event
00:24:24Sequoia's AI Event The Sequoia AI event was attended by the Who's Who of AI, where they discussed practical issues around Tech Stacks and what to expect in the future. The most interesting projects included text-to-image and generating feature-length films.
Vector Embeddings Vector embeddings were discussed as an opportunity for businesses, startups, and incumbents alike. It is considered a significant paradigm shift since it opens up new opportunities across various industries. Access to vector embeddings can be compared with Pandora founder Tim Westergren having access to Apple when he created his app that matched songs using algorithms which became successful due to first-mover advantage.
Vector embeddings
00:31:08Vector Embeddings Vector embeddings are a way to reduce any concept or text down to a set of numbers that can be plotted in an abstract space with multiple dimensions. This allows for the calculation of semantic distance between different concepts, which is not based on keyword matching.
Applications of Vector Embeddings The biggest opportunity in AI right now is using vector embeddings to find matches and similarities between unstructured data sets. For example, Hampton could use this technology by creating rich profiles for their community members and finding people dealing with similar issues through calculating the semantic distance between their vector embeddings. However, there may be challenges if people do not accurately convey what they mean through language or actions contradicting words.
Why Dharmesh Bought Chat.com
00:46:22Vector embeddings Vector embeddings are used to understand the meaning of words and can be applied in various fields such as e-commerce, text-based content, and more. Companies like Pinecone have raised millions for their vector database services.
Why Dharmesh Bought Chat.com Dharmesh bought Chat.com because he sees potential in using AI language models like GPT-4 to create a personalized experience for users by solving for the overall experience rather than just transactions. This could include creating travel itineraries or booking hotels based on personal preferences and past behavior.
Dharmesh's 17 Year Chatbot Journey
00:54:14Why Dharmesh Bought Chat.com Dharmesh bought the domain chat.com for over 10 million dollars because he believes that chat as an interface is the future, although he has no concrete plans yet on what to do with it. He also talks about his project called chatspot.ai and how it will be transferred to a HubSpot staffed core team.
Dharmesh's 17 Year Chatbot Journey Dharmesh discusses his journey in creating chatbots, starting from when they were not even called "chatbots" up until now where they are becoming more prevalent in various industries. He emphasizes the importance of understanding customer needs and using technology to solve their problems efficiently.
Tactical Advice on Hampton
01:04:34for you, which is to intersect your knowledge of building communities with the new technology developments in AI or other areas and merge those two things together for Hampton. This could make it an unstoppable force in the market. Dharmesh's 17 Year Chatbot Journey Dharmesh shares his journey from having an idea for a business software that works like email but can do more natural language understanding than Outlook, to buying chat.com after working on chatspot.ai when GPT came along. He emphasizes having courage of convictions and iterating on ideas until they work out. Advice for Sam The advice given to Sam is to know his nature and double down on what has been a successful formula instead of trying every new thing just because it's trendy or popular. It's okay not be interested in New Frontier Technologies if that doesn't align with one's personality traits or strengths.
Tactical Advice on Hampton The speaker shares tips for the application process of Hampton, including using a pre-filter question to focus on CEOs, founders and partners only. They also discuss the importance of not pushing potential applicants out too early.
Exploring AI and Prompt Engineering The speaker discusses their interest in exploring AI technology through immersion and experimentation. They mention playing around with prompt engineering as a new skill set that will be important in getting large language models like GPT-4 to produce desired results.
Balaji's Warning/Bet on Bitcoin The speakers react to Balaji Srinivasan's prediction that Bitcoin will surge to one million dollars while warning about an impending crash of the US dollar. While they acknowledge his expertise, they express skepticism about such extreme positions being likely outcomes.