Whether one likes Zuckerberg or not, there is no disputing the guy is highly intelligent. He understands network science and how to build a masterful digital platform model.
In this video I discuss how Llama is the epitome of this and what Web3 can learn from it. He is taking another major step forward with his company.
▶️ 3Speak
FB and Meta are still pretty popular in South East Asia. Instagram is still the top image sharing website. So they have a wide variety of data they can collect. I am curious to see how they will capitalize on these.
Summary:
The host discusses the recent release of Llama 3, Meta's latest large language model (LLM), and the implications it has for digital platform business models. He highlights the debate between Sam Altman and Mark Zuckerberg on whether to open-source these powerful AI models or keep them proprietary.
Zuckerberg believes open-sourcing is the way forward, as it allows more people to build on the technology and combat potential misuse by bad actors. The host explains how this aligns with the concept of digital platform models, where companies can become the gatekeepers even with open-source technologies. He draws parallels to Android vs iOS, and how Web3 projects need to learn from these platform dynamics.
The host argues that Zuckerberg understands network theory and the flywheel effects of integrating Llama 3 into Meta's products, driving user engagement and interactions. He contrasts this with the struggles of many AI companies to find a profitable business model, while established tech giants like Meta and Google can leverage their platforms.
The key takeaway is that the open-sourcing of powerful AI models like Llama 3 can still benefit the releasing company by allowing them to become the dominant platform and gatekeeper, much like Google did with Android. The host suggests Web3 projects need to carefully consider these platform dynamics as they develop their own AI capabilities.
Detailed Article:
In this episode, Taskmaster4450 discusses the recent release of Llama 3, Meta's latest large language model (LLM), and the implications it has for digital platform business models. He begins by highlighting the impressive capabilities of Llama 3, a 70 billion parameter model, with Meta working on an even larger 400 billion parameter version.
The host then delves into the debate around open-sourcing these powerful AI models. He contrasts the views of Sam Altman, who believes the technology is too dangerous to be open-sourced, with Mark Zuckerberg's stance that open-sourcing is the way forward. Zuckerberg argues that open-sourcing allows more people to build on the technology and combat potential misuse by bad actors, rather than having a single company or government control it.
The host explains how Zuckerberg's approach aligns with the concept of digital platform business models. He draws parallels to the Android vs iOS ecosystem, where one platform is open-source while the other is closed. The host argues that even with open-source technologies, companies can become the gatekeepers and leverage network effects to their advantage.
Taskmaster4450delves deeper into Zuckerberg's understanding of network theory and the flywheel effects that can be created by integrating Llama 3 into Meta's products. He provides the example of a user creating an image using Llama 3 and having it automatically posted to their Facebook account, driving engagement and interactions through likes, comments, and shares.
The host contrasts this with the struggles of many AI companies to find a profitable business model, often relying on funding and seed money from larger tech giants like Microsoft and Amazon. He suggests that established platforms like Meta and Google have a significant advantage in leveraging their existing user bases and revenue streams to integrate and monetize these powerful AI models.
Taskmaster4450 argues that this is where Web3 projects need to learn from the digital platform dynamics. He emphasizes that while the blockchain layer may be open-source, the applications built on top will likely be closed and focused on generating revenue through various business models. The host suggests that Web3 projects need to carefully consider how they can leverage AI capabilities like Llama 3 to become the dominant platforms in their respective domains.
In conclusion, the host believes that the open-sourcing of powerful AI models like Llama 3 can still benefit the releasing company by allowing them to become the gatekeeper and dominant platform, much like Google did with Android. He urges Web3 projects to learn from these platform dynamics as they develop their own AI capabilities, in order to create sustainable and profitable business models.
