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智能合約現在是智能生態系統的一部分,AI令牌正在領導2025年的市場談判。但是許多項目都在追逐相同的趨勢
Artificial intelligence is quickly changing the landscape of crypto, with smart contracts now forming part of smarter ecosystems and AI tokens a key part of 2025 market talk. But as many projects are chasing the same trend, which ones offer more than hype?
人工智能正在迅速改變加密貨幣的景觀,智能合約現在構成了智能生態系統的一部分,而AI代幣是2025年市場談話的關鍵部分。但是,由於許多項目正在追逐相同的趨勢,哪些趨勢比炒作更多?
May has seen three names in particular pull focus in the AI and blockchain world - NEAR Protocol (CRYPTO: NEAR), Bittensor (CRYPTO: TAO), and the fast-moving presale project Unstaked (UNSD).
梅在AI和區塊鏈世界中尤其有三個名字 - 近協議(Crypto:接近),Bittensor(Crypto:Tao)和快速移動的Presale Presale Project Unstaked(UNSD)。
Each one takes a different path. NEAR is utilizing a large grant program to fund AI integration inside its Layer 1 setup. Bittensor, on the other hand, is focused on a decentralized network that rewards machine learning models for their performance. And Unstaked is building real AI tools for Web3 use through autonomous agents.
每個人都採取不同的路徑。附近正在利用大型贈款計劃在其第1層設置中資助AI集成。另一方面,Bittensor專注於一個分散的網絡,該網絡獎勵機器學習模型的性能。 Onstaked正在構建通過自主代理使用Web3使用的真實AI工具。
Here’s a closer look at how they compare and why Unstaked is garnering attention as a standout pick this month.
這是一個仔細研究它們的比較以及為什麼未固定的人作為本月出色的選擇而引起關注的原因。
NEAR Protocol (CRYPTO:NEAR) - Big Plans, But Still In Building Mode
近協議(加密:靠近) - 大計劃,但仍處於建築模式
NEAR Protocol is known for pushing new ideas. It is touted as a strong Layer 1 with useful tools being built for developers. Recently, the network launched a $20 million AI Agent Fund to support the development of AI tools on its ecosystem. This has attracted interest from early-stage builders and VC-backed teams, setting up NEAR as a base layer for the next generation of AI-powered dApps.
近協議以推動新想法而聞名。它被吹捧為強大的第1層,並為開發人員構建了有用的工具。最近,該網絡推出了一項耗資2000萬美元的AI代理基金,以支持其生態系統上的AI工具的開發。這引起了早期建築商和VC支持的團隊的興趣,作為下一代AI驅動的Dapps的基礎層附近。
The technology underpinning NEAR enables fast speeds, short wait times, and low transaction fees, making it well-suited for the needs of AI. However, its autonomous agent plans are still in the early stages. At present, there are no live tools or on-chain systems like Proof of Intelligence in place.
該技術基於接近的技術可以快速速度,短等待時間和低交易費用,因此非常適合AI的需求。但是,其自主代理計劃仍處於早期階段。目前,沒有現場工具或鏈上系統,例如智力證明。
This contrasts with projects like Unstaked, which are designed to deploy working AI agents after launch and integrate them with a PoI system from the beginning.
這與UnStaked這樣的項目形成鮮明對比,該項目旨在在啟動後部署工作AI代理,並從一開始就將其與POI系統集成在一起。
Despite this, NEAR remains a reliable Layer 1 with a growing focus on AI. But for those seeking operational tools today, it might be a more long-term investment.
儘管如此,附近仍然是可靠的第1層,越來越關注AI。但是對於那些當今尋求運營工具的人來說,這可能是一項更長期的投資。
Bittensor (TAO) - Machine Learning That's Rewarded For Performance
BITTENSOR(TAO) - 獎勵性能的機器學習
Bittensor stands out as one of the most advanced AI projects in crypto. It operates a network where individuals can train machine learning models, with the top models being rewarded with TAO tokens based on their performance. The aim is to create a vast, open AI system where contributions are directly linked to rewards.
Bittensor脫穎而出,是加密貨幣中最先進的AI項目之一。它運營一個網絡,個人可以在其中訓練機器學習模型,而頂級模型會根據其性能獲得Tao代幣的獎勵。目的是創建一個龐大的開放AI系統,其中貢獻直接與獎勵聯繫在一起。
The TAO token currently trades at around $340 and has benefited from interest in decentralized computing. Some analysts believe the token could double or triple by the end of 2025 if more companies begin utilizing its technology.
Tao代幣目前的交易價格約為340美元,並受益於分散計算的興趣。一些分析師認為,如果更多的公司開始利用其技術,那麼到2025年底,該令牌可以兩倍或三倍。
However, Bittenson is not without its complexities. Its primary focus is on machine learning experts and coders rather than the broader crypto community. While it boasts strong technology, it does not offer easily accessible tools or direct Web3 support, which Unstaked plans to provide with its autonomous agents.
但是,貝滕森並非沒有它的複雜性。它的主要重點是機器學習專家和編碼人員,而不是更廣泛的加密社區。儘管它擁有強大的技術,但它沒有提供易於訪問的工具或直接的Web3支持,該工具未固定的計劃計劃提供其自主代理。
Unstaked (UNSD) - Introducing AI Agents Built To Power Web3 Growth
未固定(UNSD) - 引入為Web3增長供電的AI代理
Unstaked is taking a different approach with its use of artificial intelligence. The project is introducing autonomous agents programmed to manage tasks on platforms like Telegram, X, and other decentralized applications. These agents are designed to assist with onboarding new users, posting content, moderating chats, and maintaining user engagement—crucial needs for nearly every cryptocurrency project today.
使用人工智能正在採取不同的方法。該項目正在介紹編程的自動源代理,以管理Telegram,X和其他分散應用程序等平台上的任務。這些代理人旨在幫助入門新用戶,發佈內容,調節聊天和維持用戶參與度 - 今天幾乎每個加密貨幣項目的重要需求。
What distinguishes Unstaked is its Proof of Intelligence (PoI) method. Each task completed by an agent is tracked and evaluated directly on-chain. Only the agents that perform well and contribute positively to the community receive rewards in UNSD tokens. This approach incentivizes productivity, not hype, and helps ensure the quality of work across the system.
不固定的是其智力證明(POI)方法。由代理完成的每個任務都會直接在鏈上進行跟踪和評估。只有表現良好並為社區做出積極貢獻的代理人獲得了UNSD代幣的獎勵。這種方法會激發生產力,而不是炒作,並有助於確保整個系統的工作質量。
While NEAR is backing AI projects and Bittenson is concentrated on model training, Unstaked is moving toward deployable AI in a real-world setting. Its core structure is already developed, and the agents are expected to launch shortly after the token's public listing. This would mark one of the first operational AI setups designed to expand decentralized communities.
靠近的是支持AI項目,而Bittenson專注於模型培訓,但未固定在現實環境中朝著可部署的AI邁進。它的核心結構已經開發出來,預計代理人公開上市後不久將推出。這將標誌著旨在擴大分散社區的首批運營AI設置之一。
Now in Stage 2 of its presale with a token price of $0.006695, Unstaked may also be the most reachable option on the list. If it hits the projected listing price of $0.1819, early buyers could see gains up to 2,700%, assuming demand translates to use. With nearly $1 million raised in less than a week, it seems this project is starting to garner broader attention.
現在,在其預售的第2階段,令牌價格為$ 0.006695,未固定的價格也可能是列表中最適合的選擇。如果它達到預計的上市價格為0.1819美元,那麼假設需求可以使用,則早期買家可以看到高達2,700%的增長。在不到一周的時間內籌集了近100萬美元,該項目似乎開始引起廣泛的關注。
Which AI Project Might Offer The Most Right Now?
哪個AI項目現在可能提供的最多?
When considering long-term systems, both NEAR and Bittenson present compelling cases. NEAR boasts a swift Layer 1 network and an expanding grant
在考慮長期系統時,附近和貝滕森都會出現引人注目的案例。靠近擁有Swift Lays 1網絡和擴大的贈款
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