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Base Protocol AI Infrastructure Upgrade: Small-Cap Innovative Projects Continue to Surge

BlockBeats News, May 17th. Recently, a series of new AI infrastructure projects emerged in the Base ecosystem. These projects are either built around the Venice core for issuance platforms (such as liquid), or layered with in-house frameworks integrating prominent AI project forks, such as GITLAWB, MiroShark, and aeon.

These low-cap projects quickly gained recognition against the backdrop of an overall market downturn, experiencing a counter-trend surge in market capitalization. According to GMGN market data,


after liquid announced support for the Venice ecosystem's computing power token DIEM, it tripled in value within 3 days, with a current market cap of $4.64 million.


GITLAWB saw a price increase driven by the integration of its core product with Venice and the implementation of product updates, surging 5x in the past week, with a current market cap of $26.83 million.


aeon (the underlying framework) and MiroShark (the upper-layer application) received significant exposure after attracting the attention of a16z co-founder Marc Andreessen. aeon's market cap increased 10x in 5 days, currently standing at $4.04 million, while MiroShark has a market cap of $1.89 million.


In contrast, the three pillars of the Base ecosystem's AI infrastructure, Clanker, BNKR, and VIRTUAL, seem to have been neglected by the community. The reasons behind this could be the decline in user base due to the shrinking of Farcaster and delays in the token issuance mechanism update. In particular, Clanker has encountered a team crisis, with founder Jack Dishman resigning recently and shifting focus to a new project.


It is important to note that the above-mentioned low-cap projects still face significant uncertainties, and whether they can truly establish themselves remains to be seen. However, one thing is certain: the "out with the old, in with the new" trend in AI projects within the Base ecosystem is ongoing. This trend is driven by both users' demand for rapid AI innovation and the market's speculative necessity amid a backdrop of liquidity scarcity.

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