Where will Hive be in 2-3 years?
None of us have a crystal ball. What we do have are trends.
In this video I discuss some of the components that could be a major part of Hive in a few years. This is likely to be a similar pattern with Web 3.0 and, actually, the Internet in general.
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I don't know either, but judging from Hive's track record, it is very resilient. There was the fork a few years ago, then there was the long bear market. Hive has survived them, and is gearing up to ride the bull run. I'd like to think that Hive will be thriving and is a leading blockchain in 2-3 years time.
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STOP or to resume write a word START Summary:
In this video, the host discusses his predictions for where Hive and the broader web3 ecosystem will be in the next 2-3 years. He highlights the rapid advancements happening in large language models (LLMs) and AI, with major tech companies like Apple, OpenAI, and Anthropic all making significant strides. The host believes that integrating these powerful AI capabilities will be crucial for Hive and other web3 platforms to remain competitive and provide a comprehensive suite of services.
Detailed Analysis:
The host begins by acknowledging the difficulty of accurately forecasting the future, but says that by looking at technology trends, AI advancements, and the actions of major tech companies, he can make some educated guesses. He notes that entities that fail to keep up with the rapid pace of change risk getting left behind, while there will be significant opportunities for those who can adapt quickly.
The host discusses the current landscape of LLMs, mentioning that while OpenAI's GPT models have been the benchmark, there are claims that newer models like Claude 3 and LLaMA 3 may now be ahead. He also highlights Elon Musk's upcoming Grok 2.0 model as a potential game-changer.
The host emphasizes that these LLMs will need to be integrated into any application that wants to be a major player in the future, including those on the Hive platform. He believes that the availability of open-source LLM models, as well as the rapidly declining costs of training these models, will make it more feasible for smaller communities and initiatives to leverage this technology.
Framing Hive as a "nation-state" ecosystem, the host explains that LLMs can be seen as the "general store" - a crucial piece of infrastructure that provides essential services and capabilities to the broader community. Without these LLMs integrated into the Hive platform, he argues that it would be like a town without a general store, limiting the platform's usefulness and potential.
The host also highlights the importance of Hive housing its own LLMs trained on the data generated on the platform, as this will incentivize more content creation and feed the AI models. However, he sees LLMs as just one piece of the puzzle, and believes Hive will need to develop robust multimedia capabilities, including image and video processing, to truly become a comprehensive platform.
The host delves into the relationship between data, algorithms, and compute power in the context of AI, emphasizing that data is the foundational unit. He believes that Hive's advantage lies in its ability to build an ecosystem that seamlessly integrates the financial, social, and AI components, unlike the current web2 platforms that are still siloed.
The host envisions a future where Hive's integrated banking system, social media features, and AI capabilities, combined with the ability to own individual pages as NFTs, could create a powerful and differentiated platform. He believes this could make Hive a valuable data resource for many entities, and the key to offering well-rounded technical services.
The host concludes by stating that while web2 platforms may eventually catch up and integrate finance and social media, the core principles of decentralization and distribution that underpin web3 will remain crucial, especially when it comes to AI development and deployment.
I am so sure hive will certainly perform quite better in the coming years certainly