Original | Odaily Planet Daily (@OdailyChina)
Author | Nan Zhi (@Assassin_Malvo)
Over the past three months, the main theme of AI concepts has gradually transformed from AI Meme to AI Agent, development frameworks, practical applications, and other areas. In the previous two articles, we filtered a batch of tokens based on factors such as 'market value in the tens of millions', 'almost no coverage in Chinese media', and 'projects or tokens launched for less than two weeks', aiming to explore mid-term growth opportunities, and we have seen some projects achieve certain results.
In this article, we will continue to follow these factors to interpret a batch of emerging AI projects, helping readers understand their backstories and development directions. The status of all tokens from the first three issues is shown in the table below:
(Recommended reading: (ARC quickly reaches a market value of 30 million, a single article to understand the narrative of emerging AI tokens), (New coins cool down, are there investment opportunities at level 1.5? An article to understand the complete narrative of AI tokens with a market value in the tens of millions))
SwarmNode.ai (SNAI)
Fundamentals
Created on 12/21, with a peak market value of $55 million and a current market value of $43 million.
AI Narrative
SwarmNode.ai (SNAI) is designed to simplify AI Agent deployment, with its core advantage being a serverless architecture that frees users from managing server infrastructure burdens, such as renting servers, installing complex dependencies, and worrying about server downtime. Users only need to focus on writing (AI Agent) Python scripts, and after uploading, SNAI can automatically handle subsequent matters, including resource allocation, database management, etc., with a flexible billing model that charges only for actual runtime.
Future Roadmap
Data Storage: Allows AI Agent to share access to cloud micro-databases.
Scheduled Activation: Allows activation of AI Agent during specific time periods (for example, only activated at night).
AI Agent Library: Similar to an AI Agent store, allowing users to customize and develop components.
neur
Fundamentals
Created on 12/24, with a peak market value of $45 million and a current market value of $40 million.
AI Narrative
neur is similar to GRIFFAIN (currently no differences apparent), supporting users to command AI in natural language for DeFi, NFT interactions, and other operations on the Solana chain, while also having the capability to update information. Officially listed features include "getting recent updates from the phantom wallet," "issuing a token," "what toly is doing," and "exchanging 1 SOL for USDC."
AlphaArc (alpha)
Fundamentals
Created on 12/22, with a peak market value of $30 million and a current market value of $26 million.
AI Narrative
AlphaArc translates blockchain language into data that AI can understand. The following is the original text from the official documentation: "AlphaArc is a platform running data-driven AI agents. When OpenAI and other institutions trained models, they only used Web2 data. 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 has also launched the AI Cat Cafe (@CatCafe4k) running on the X platform, which broadcasts popular token information and AI ratings every hour, but the token information is relatively basic, including price fluctuations, liquidity, and holding user data.
yesnoerror (YNE)
Fundamentals
Created on 12/20, with a peak market value of $48 million and a current market value of $30 million.
AI Narrative
Officially described as "an AI Agent driven by OpenAI's o1 model, used to analyze mathematical errors and discrepancies in scientific papers." The document points out that in October this year, a peer-reviewed research report indicated that black plastic kitchen utensils were toxic, causing widespread panic and media coverage, but it was actually due to a calculation error that led to a toxicity conclusion that was 10 times higher than the actual; OpenAI's o1 model identified this serious error in just 30 seconds at a cost of $0.30.
Therefore, yesnoerror (YNE) will leverage blockchain technology and AI to conduct large-scale audits of scientific papers, aiming to discover mathematical errors, identify forged data, and detect other numerical inaccuracies.
soulgraph (GRPH)
Fundamentals
Created on 12/20, with a peak market value of $23 million and a current market value of $23.5 million.
AI Narrative
Empowering AI Agents with voice capabilities and long-term memory, transforming them from 'tools' into 'companions'. Supports users to import external AI Agents and, through long-term conversations with users, endows them with characteristics such as personality, values, and identity relationships with users.
At the same time, Soulgraph has integrated voice functionality, allowing users to interact with AI in a more natural way, and a video mode will be launched.
Currently, Soulgraph's official demo version has been launched, and testing shows smooth interaction and very fast response. However, the external AI Agent integration feature has not yet been realized, and its full implementation remains to be observed.
Scoutly AI (SCOUT)
Fundamentals
Created on 12/21, with a peak market value of $25 million and a current market value of $12.6 million.
AI Narrative
Scoutly utilizes historical data from athletes to analyze sports competitions and provide result suggestions. Data sources include 'detailed reviews of head-to-head matchups, performance metrics of each team under different conditions, scoring patterns, and differences in home and away performance.'
Scoutly had a very high accuracy rate last week, predicting 6 out of 8 games in the NFL (National Football League) correctly. An X user even revealed that they made parlay bets based on Scoutly's predictions, using $182 to gain $9,000 in floating profits.
Note: Odaily notes that Scoutly has a short operational duration and a relatively small sample size, and the long-term effectiveness and stability of its predictive capabilities still need verification. This is only an interpretation and display of functionalities, not investment advice.
