Original title: "Top Catalysts for the Top AI Tokens"
## Author: Arjun Chand, Bankless
Compiled by Deep Wave TechFlow
In the past year, AI tokens have Dominated the market, many believe this is the convergence cycle of AI and cryptocurrency. However, AI tokens have shown a downward trend in recent months, with many coins falling 25%-50% from local highs.Still, this isn’t necessarily a cause for concern. In a crypto bull market, pullbacks are normal and contribute to long-term performance. This article explores the future development of top AI and crypto projects and the catalysts that may reignite the market.
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OctaneX can use the decentralization of Render Network GPU. Millions of Apple users now have access to unprecedented rendering capabilities. Imagine creating Hollywood-level CGI on the iPad - that's what Render and Apple are achieving.
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Integration with Apple is a big plus for Render A major victory.This is a validation of Render technology and vision. Apple is basically saying: "Hey, this Render Network thing is legal!" This could attract a slew of developers and creators to join the platform, further growing the network.
With new Apple software coming later this year, this could be a big catalyst for Render as it will unlock a massive new user base for the network. And, more importantly, more users using OctaneX means increased demand for Render services, thereby increasing the value of the RNDR token. We've already seen price increases following the news, which could be a sign of things to come, so keep an eye on Render.
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Dynamic TAO is one of the most anticipated proposals in Bittensor’s history, second only to the launch of the subnet last year. It brought fundamental changes to the network:Empowering TAO holders: Currently, only a handful of validators decide how TAO rewards are distributed to subnets. This is not fair or efficient as it may be subject to bias from a few entities. Dynamic TAO changes this by allowing all TAO holders to participate in reward distribution. Imagine a network where everyone can influence the allocation of AI resources - this is the future Bittensor is committed to building. Dynamic market for subnets: With dynamic TAO, each subnet will have its own token, whose value will be determined in the open market. This incentivizes the subnet to perform well and provide valuable AI services. No more useless subnets—only the most effective subnets grow. This also adds a speculative element to the Bittensor ecosystem, gamifying network participation for TAO holders and injecting market power into the growth of each subnet. Dynamic TAO is currently in testing and is expected to be fully launched soon. The introduction of crypto incentives at the subnet level could be a significant catalyst for Bittensor. This is an important step forward for Bittensor, giving token holders and subnets a real say in shaping the future of decentralized AI. Forget that meme of the founder of NVIDIA touching the arm of the founder of NEAR, NEAR recently announced the next phase of its roadmap : Make NEAR the home of user-autonomous AI. (Tweet details) This isn’t just hype. The NEAR Foundation is taking action. They are establishing a dedicated research laboratory (NEAR.AI) and attracting top AI talents to develop AI and encryption applications. They have also set up an incubator and investment department to focus on AI projects. They are also building the infrastructure that developers can use to build user-driven AI applications, such as data collection tools, reward creators, and monetization tools, while bringing the value of encryption into AI. (Tweet details) NEAR’s take on “user-autonomous AI” The focus could be an important catalyst for the future development of the project. The team believes their existing user base, developer ecosystem, and funding can position them to become a leader in user-owned AI. While the recent market correction may be frustrating to some, the AI and crypto space remains vibrant. Take a look at these three projects: Render, Bittensor, and NEAR. Each project is solving its own unique problems, and as they implement their respective roadmaps, the future will become even more exciting. And these are just a few examples. At this intersection, an interesting ecosystem of projects has emerged, all developing valuable products. In addition, there are some external factors to consider: OpenAI may have a breakthrough at any time; Nvidia's revenue is soaring. Every time a major player takes action in the AI space, it triggers a ripple effect throughout the space. The question is not whether AI and encryption will become important, but how big. While no one can predict the future for sure, one thing is for sure: it will be very interesting.
User-autonomous AI on NEAR
Conclusion
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