The differentiating factors in AI Agents come down to:
1) Quality of contextual information
2) Support for a wide range of plugins
3) Ability to fully leverage underlying LLMs
4) Integration in products
The first factor is what sets agents like @aixbt_agent apart from its competitors - access to up-to-date and valuable data that it can use to generate meaningful responses. Better contextual data = more relevant LLM outputs.
The second factor is why @ai16zdao will remain a dominant platform for developing agents - there are dozens of community-built plugins that can supercharge eliza agent capabilities that other agents don't support (think about how many different actions ai16z agents can take).
The third factor can greatly enhance the quality of response that an ai agent generates. This is a combination of good prompt engineering and usage of techniques like reflection to create better responses.
The fourth factor dictates how useful an agent is. Right now most of the agents we've seen in the crypto world live on twitter. However, I've already seen some teams such as @thirdweb leverage agents to actively enhance their products. YC recently predicted that agents can eventually replace entire SaaS products. This is really where we'll start to see the impact of AI agents on our day to day lives.
1) Quality of contextual information
2) Support for a wide range of plugins
3) Ability to fully leverage underlying LLMs
4) Integration in products
The first factor is what sets agents like @aixbt_agent apart from its competitors - access to up-to-date and valuable data that it can use to generate meaningful responses. Better contextual data = more relevant LLM outputs.
The second factor is why @ai16zdao will remain a dominant platform for developing agents - there are dozens of community-built plugins that can supercharge eliza agent capabilities that other agents don't support (think about how many different actions ai16z agents can take).
The third factor can greatly enhance the quality of response that an ai agent generates. This is a combination of good prompt engineering and usage of techniques like reflection to create better responses.
The fourth factor dictates how useful an agent is. Right now most of the agents we've seen in the crypto world live on twitter. However, I've already seen some teams such as @thirdweb leverage agents to actively enhance their products. YC recently predicted that agents can eventually replace entire SaaS products. This is really where we'll start to see the impact of AI agents on our day to day lives.
This is not a commentary on token prices, I’m speaking purely about the tech
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