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暗号通貨のニュース記事

aixbt: A Detailed Look at the KOL, Financial Performance, Technology Stack, Token Economics, and Future Development Direction

2025/01/14 09:05

aixbt: A Detailed Look at the KOL, Financial Performance, Technology Stack, Token Economics, and Future Development Direction

This article provides an in-depth analysis of aixbt, a prominent AI agent on Crypto Twitter (CT). It examines aixbt's role as a key opinion leader (KOL), financial performance, technology stack, token economics, and future development direction. The article also highlights the surging interest in aixbt, particularly among fans of AI tokens with market capitalizations below $100 million.

The analysis begins by discussing aixbt's remarkable qualities as a social media agent. With over 300,000 followers and an average of 50,000 impressions per post in less than three months, aixbt has quickly gained attention on CT. Furthermore, the agent has been generating an impressive volume of responses, averaging over 2,000 per day since launching, with a total response count exceeding 100,000. Notably, aixbt has avoided promoting questionable projects despite its scale.

One of the most striking aspects of aixbt is its likeable personality, which is evident in each of its tweets and replies. This endearing quality has integrated aixbt into CT culture, making it a favorite among DeGens, researchers, and VC firms alike. While more advanced proxies are expected to emerge in the coming months and years, aixbt is likely to maintain a special place within CT.

The article then delves into aixbt's financial performance, highlighting a recent tweet that significantly impacted the market for $PIPPIN, an AI token. Following this tweet, $PIPPIN experienced a surge of over 600%, largely driven by aixbt's endorsement. Such instances have contributed to building credibility for aixbt, especially in the context of its cautious approach towards low-market-cap, high-risk tokens.

Moving on to the technology behind aixbt, the analysis notes that it is the only proxy whose technology warrants discussion, with the others being either insufficient or uninteresting. Every hour, on the hour (UTC), aixbt posts information about tokens, projects, or topics, either as a single tweet or a short post. Additionally, it replies to more than 2,000 @s every day.

Beginning with the responses, the article highlights two key observations. Firstly, it is highly likely that aixbt's replies are fully autonomous, without any manual intervention or approval. This is evident from the public display of the reply log, which showcases the creation of replies, evaluation of responses, and tweets in real time. Secondly, an interesting error occurred when the article's author asked aixbt a question about the current league title contenders, to which it responded with outdated information. This error can be attributed to LLMs (Large Language Models) having knowledge deadlines, which can be circumvented by adding live information to the context window.

As for the hourly posts, the analysis notes the absence of logs, raising the possibility of human involvement. However, the consistent posting times suggest some level of automation. If we try to guess what the context window of aixbt will contain, there are two points:

This is also where things get really vulnerable to manipulation. The developers control what’s in the context window. If they want AI-related content, they provide that information, and that’s what aixbt will post. This opens up some dangerous possibilities — projects could pay developers to add more (or biased) information about their projects to influence aixbt’s posts.

There are certainly people manipulating the proxy, but their level of involvement can vary widely. At the very least, they need to specify which accounts to follow and which crypto sectors to focus on. In the worst case, the developers may decide at any time which token aixbt will promote. The truth is probably closer to the former.

The article concludes by discussing the $AIXBT token, which accounts for approximately 25% of the total market capitalization among pure agent AI tokens. Despite having only one clear use - access to the aixbt terminal, which costs 600,000 AIXBT to open (over $200,000) - the token has managed to achieve a trading market capitalization of over $400 million.

In the absence of a clear value return mechanism, the token's valuation close to $500 million indicates that the market recognizes aixbt's strong capabilities. However, to truly lead the entire proxy field, it is necessary to consider how to make the token capture value.

One option that many projects have taken is for developers to roll their own infrastructure. Given its complexity, I believe the potential aixbt framework will outperform frameworks like Eliza and Arc. This could increase the value of the token and push it toward unicorn status.

The downside? The proxy will lose its key advantage - complexity. Anyone can start their own aixbt, perhaps using a different proprietary data source and getting potentially better performance.

If it weren’t for the open framework, the aixbt team could create a launchpad with its

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