Taking a look at six new leading AI projects, what concepts are popular in the market?

Bản gốc | Odaily Planet Daily ( @OdailyTrung Quốc )

Tác giả锝淣an Zhi ( @Sát thủ_Malvo )

In the past three months, the main line of AI concepts has gradually transformed from AI Meme to practical applications such as AI Agent, development framework, and implementation tools. In the previous two articles, we screened a number of tokens based on several factors such as tens of millions of market value, basically no coverage in Chinese media, and projects or tokens launched less than two weeks ago, aiming to explore mid-term growth opportunities, and also saw that some projects have achieved certain results.

In this article, we will continue to follow these factors and interpret a number of new AI projects to help readers understand their stories and development directions. The status of all tokens in the first three phases is shown in the following table:

(Recommended reading: ARC Quick Pass 30 Million Market Value, One Article to Understand the Narrative of New AI Tokens , New Coins Cool Down, Are There Any Investment Opportunities at Level 1.5? One Article to Understand the Complete Narrative of AI Tokens with a Market Value of Ten Million )

SwarmNode.ai (SNAI)

Cơ bản

Created on 12/21, with a peak market value of $55 million and a current market value of $43 million.

AI Storytelling

SwarmNode.ai (SNAI) is designed to simplify AI Agent deployment. Its core advantage is that it adopts a serverless architecture, which relieves users from the burden of managing server infrastructure. Issues such as renting servers, installing complex dependencies, and worrying about server downtime are all history. Users only need to focus on writing (AI Agent) Python scripts. After uploading, SNAI can automatically handle subsequent matters, including resource allocation, database management, etc., and the billing model is flexible, charging only based on actual running time.

Hướng đi trong tương lai

• Data storage: Allows AI Agents to share access to a cloud micro-database;

• Scheduled scheduling: allows the AI Agent to be activated during specific time periods (e.g. only at night);

• AI Agent Library: Similar to the AI Agent Store, it allows users to perform customization and component-based development.

neur

Cơ bản

Created on 12/24, with a peak market value of $45 million and a current market value of $40 million.

AI Storytelling

neur is similar to GRIFFAIN (no differences have been seen so far), and supports users to use natural language commands to AI for DeFi, NFT interactions, and other Solana on-chain operations, while also having the function of updating information. Officially listed functions include get recent updates of phantom wallet, issue a token, what toly is doing, exchange 1 SOL to USDC, etc.

AlphaArc (alpha)

Cơ bản

Created on 12/22, with a peak market value of $30 million and a current market value of $26 million.

AI Storytelling

AlphaArc translates blockchain language into data that AI can understand. The following is the official document: AlphaArc is a platform for running data-driven artificial intelligence agents. OpenAI and other institutions only use Web2 data to train models. Our goal is to bridge this gap. Our indexers and transformers analyze transactions, patterns, and market dynamics to provide clear, actionable information for large language models and humans.

AlphaArc also launched an AI Cat Cafe ( @CatCafe4k ) running on the X platform. This AI will broadcast information and AI scores of popular tokens every hour, but the token information is relatively basic, including price fluctuations, liquidity, holding users and other data.

yesnoerror (YNE)

Cơ bản

Created on 12/20, with a peak market value of $48 million and a current market value of $30 million.

AI Storytelling

Officially, it is called a DeSci AI Agent driven by OpenAIs o1 model, used to analyze mathematical errors and discrepancies in scientific papers. The document pointed out that in October this year, a peer-reviewed research report pointed out that black plastic kitchen utensils were toxic, which caused widespread panic and media coverage. However, it was actually due to a calculation error, which led to the toxicity conclusion being 10 times higher than the actual value. OpenAIs o1 model identified this serious error in just 30 seconds, at a cost of $0.30.

Therefore, yesnoerror (YNE) will use blockchain technology and AI to audit science (papers) at scale, aiming to find mathematical errors, identify falsified data, and detect other numerical errors.

Soulgraph (GRPH)

Cơ bản

Created on 12/20, with a peak market value of $23 million and a current market value of $23.5 million.

AI Storytelling

Endow AI Agents with voice and long-term memory capabilities, transforming them from tools to companions. Support users to import external AI Agents, and then endow them with personality, values, identity relationships with users, and other characteristics through long-term conversations with users.

At the same time, Soulgraph has connected to the voice function, allowing users to interact with AI in a more natural way, and will launch a video mode.

At present, the official demo version of Soulgraph has been launched. After testing, the interaction is smooth and the response is very fast. However, the external AI Agent access function has not yet been realized, and whether it can be fully implemented remains to be seen.

Scoutly AI (SCOUT)

Cơ bản

Created on 12/21, with a peak market value of $25 million and a current market value of $12.6 million.

AI Storytelling

Scoutly uses historical player data to analyze sports games and provide outcome recommendations. Data sources include detailed reviews of head-to-head matchups, performance metrics for teams under different conditions, scoring patterns, and differences in home and away performance.

Scoutlys accuracy rate was very high last week, predicting 6 out of 8 NFL games . User X even disclosed that he made round-robin bets (known as string bets in China) based on Scoutlys predictions, and earned a floating profit of $9,000 with $182 .

Note: Odaily reminds that Scoutly has a short operating time and a relatively small number of samples, and the long-term effectiveness and stability of its prediction capabilities remain to be verified . This is only an interpretation and demonstration of the function, not an investment advice.

This article is sourced from the internet: Taking a look at six new leading AI projects, what concepts are popular in the market?

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