Bogdan: ChatGPT. Literally everyone is talking about it. What do you think about the technology?<\/strong><\/p>\n I think it\u2019s a wonderful technology. It didn\u2019t appear yesterday; the development has been under way for years. The evolution took about five years since the appearance of the first version of GPT. And now we are at the point where there is ChatGPT, GPT-3.5, and soon the fourth version will arrive.<\/p>\n Google is also conducting experiments with its language model. They are probably using LaMDA. One of the successful experiments is applying the language model in a planning function.<\/p>\n That is, you input a task to the language model, for example, “I need to bring a bottle of beer.” Then the language model generates an action algorithm: “drive to the fridge \u2014 raise your arm \u2014 open the door \u2014 take the bottle \u2014 close the door \u2014 turn around \u2014 deliver the bottle”.<\/p>\n Then this algorithm is parsed and executed. The results were good.<\/p>\n Bogdan: can this be called intelligence?<\/strong><\/p>\n Language models, in particular GPT, are already a good manifestation of intelligence. Five years ago, when AI performed narrowly specialized tasks, I used to say: \u201cpeople will understand that artificial intelligence has arrived when algorithms can perform a broader range of tasks if not better than humans, then at least on par.\u201d<\/p>\n ChatGPT and GPT in particular \u2014 a huge step in this direction. Essentially, it\u2019s one model that solves many tasks well, even those that were not anticipated.<\/p>\n It\u2019s such a multitasking tool that will develop toward multimodality<\/span>, i.e., it will combine various algorithms into unified systems. More precisely, this is already happening. Maybe you\u2019ve seen the Nothing Forever series on Twitch? Where they combined an image generator and a text model that continuously create a script and render images.<\/p>\n Bogdan: if these models have existed for a long time, what\u2019s the secret of ChatGPT\u2019s success?<\/strong><\/p>\n In my view, the key move is having a very convenient interface for interaction. It\u2019s like the HTTP protocol. It\u2019s easy to view and debug, and only then did the familiar Internet grow on top of it.<\/p>\n OpenAI is notable in that they are effectively monopolists. As pioneers of the technology, they have an excellent team and almost unlimited resources from Microsoft [thanks to the $10 billion deal<\/a>].<\/p>\n I\u2019m sure not all of the money is in cash. A lot depends on Azure services and their servers, to which OpenAI has unlimited access.<\/p>\n Right now this is especially valuable because there simply aren\u2019t enough compute resources. Amazon and Google don\u2019t have them in sufficient quantity. Even we as a small startup \u2014 we don\u2019t need many servers \u2014 regularly face problems. Here is our money, but they cannot take it because no resources are available.<\/p>\n And it is very hard for a typical startup to compete in the fundamental area of dialog models. Training a model from scratch is expensive, very expensive, and such resources are not available to ordinary startups.<\/p>\n Therefore ChatGPT is a very strong monopoly.<\/p>\n Bogdan: now that we\u2019re talking about your startup, Pheon, tell us more about it.<\/strong><\/p>\n It is a digital-cloning startup. The technology of cloning humans, creating their digital copies. Essentially, a generated video in which the person looks and sounds the same as in life and says roughly the same thing as the original.<\/p>\n For example, a clone of Elon Musk. When asked \u201cwhere do you work?\u201d he would answer: \u201cI\u2019m CEO of Tesla Motors, SpaceX, Neuralink, Twitter,\u201d and what else he has.<\/p>\n Bogdan: how did you come up with this idea?<\/strong><\/p>\n It started with exploration. We evaluated many possible AI products with new and promising technologies. We gathered many options, chose the five best, and presented them to profile investors.<\/p>\n The idea of digital humans drew the most interest, so we decided to focus on it.<\/p>\n Also, this has been talked about for a long time; shows like Black Mirror have depicted it. A client at Hey Machine Learning came to us who wanted something similar\u2014\u201cbring my dead grandfather to life.\u201d We explored possibilities and back then things were not good.<\/p>\n Today, the question of technological risk does not stand. In some form, the necessary developments already exist.<\/p>\n Marina: synthetic humans \u2014 a promising niche?<\/strong><\/p>\n It\u2019s like GPS, which stopped being purely military and \u201cwent to the people.\u201d Based on it services such as Uber, Glovo, Google Maps emerged, and the drone industry developed.<\/p>\n So with digital humans \u2014 a fundamental technology on which many applications can be built. You could digitize celebrities and tie them to educational courses or language learning. For example, learn Spanish with Beyonc\u00e9.<\/p>\n It could be a consulting story. Many legal tasks\u2014such as opening a company under Delaware law, filing tax returns, and drafting reports\u2014are amenable to formalization. With such volume of work, a digital lawyer could easily handle it.<\/p>\n Another example \u2014 a coach-motivator helping to achieve goals like going to the gym regularly. It could remind you to train, monitor exercises for different body parts, argue about things.<\/p>\n And there are many applications we haven\u2019t yet imagined. This industry is just starting to emerge. We are currently seeking a large market for this concept.<\/p>\nOn Synthetic Humans<\/strong><\/h2>\n
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