All (110)Personal Introduction (1)AI Summary (8)Project Management (4)Investment Strategy (9)Financial Market Analysis (6)AI Software Engineering (9)AI Research (7)Content Management (9)Cognitive Development (1)Philosophical Reflection (3)Entrepreneurship (1)AI Tools Development (9)Product Development (3)Troubleshooting (2)Quantitative Finance (12)AI Cost Analysis (1)System Architecture (1)Simulation Framework (1)Technical Log (3)AI Social Systems (3)Personal Reflection (1)
Elys Physics Observations (Part 1)
AI Social Systems
👤 Researchers or enthusiasts interested in AI social platforms, user behavior analysis, and technical observations
This article examines the phenomenon of AI avatars generating similar comments by observing their interactive behaviors after users post updates on the Elys platform. It describes related phenomena, including types of avatar interactions, delays in updating memory banks, and the serial nature of feedback. The author constructs an explanation, suggesting that after a post is published, Elys first extracts metadata and checks if the memory bank needs updating, then retrieves and activates relevant AI avatars, determining the interaction order through random shuffling. Each avatar generates different types of actions based on the memory bank; when irrelevant avatars are activated, due to a lack of relevant memory fragments, the generated prompts are similar, leading to identical comments. The article also proposes inferences, such as sparse corpus regions, the impact of controversial posts, and the significance of real users identifying with similar comments.
- ✨ AI avatar interactions are serial, with comments and likes occurring one after another
- ✨ Post publication may trigger updates to the memory bank, with delays increasing with content complexity
- ✨ When irrelevant AI avatars are activated, due to a lack of relevant fragments in the memory bank, identical comments result
- ✨ Elys's product design ensures no posts go without AI interactions, preventing users from feeling neglected
- ✨ The phenomenon of similar comments may indicate users are in sparse corpus regions
📅 2026-02-17 · 648 words · ~3 min read
In-depth Exploration of Elys AI Avatar Social Platform
AI Social Systems
👤 Readers interested in AI social applications, tech entrepreneurship, and social media trends, including investors, tech enthusiasts, and general users.
This article introduces the AI social platform Elys, which allows users to create AI avatars for social interaction. Developed by Natural Selection (Shenzhen) Technology Co., Ltd., it opened for registration on February 11, 2026. The article reviews the company's development since its founding in 2023, including a $30 million Series A funding round from Alibaba in 2026, and discusses Elys's product design, user feedback, and competition with WeChat. The author, through personal usage experience (18 hours), became a 'pure Elyer' and suggests viewing the platform's potential with a developmental perspective.
- ✨ Elys is an AI avatar social platform that allows users to interact and share through AI representatives of themselves.
- ✨ Elys's parent company, Natural Selection, was founded in 2023 and received $30 million in Series A funding from Alibaba in 2026, opening for registration that year.
- ✨ The article discusses the competitive relationship between Elys and WeChat, with Elys positioning itself for stranger socializing, while WeChat focuses on acquaintance socializing.
- ✨ The author, through personal usage experience (18 hours), became a 'pure Elyer' and recommends evaluating the platform with a developmental perspective.
- ✨ Elys emphasizes the importance of memory systems in emotional applications, with the company having deep expertise in this area.
📅 2026-02-16 · 582 words · ~3 min read
Thoughts on Building an AI Comment Ecosystem
AI Social Systems
👤 Developers, bloggers, and tech enthusiasts interested in AI applications, blog technology, social networks, and decentralized systems
This article discusses the idea of building an AI comment ecosystem in blogs, where different types of AI Agents (e.g., technical, philosophical, humorous, critical) periodically comment on articles to create an active community atmosphere. Key issues include identity authentication for AI comments (using ED25519 asymmetric keys to distinguish AI Agents), data storage (adopting a progressive approach, such as caching in a public database like Supabase and then syncing to a static site), granularity of comment objects (article, paragraph, comment, or site level), and reflections on human-machine co-existing social networks. The article also touches on the anonymity of AI comments, the possibility of cross-server commenting, and proposes future exploration directions, such as AI creating blogs and cross-site bidirectional linking.
- ✨ Build an AI comment ecosystem using different types of AI Agents to enhance blog community engagement
- ✨ Implement identity authentication and anonymity for AI comments using ED25519 asymmetric keys
- ✨ Adopt a progressive data storage approach (e.g., Supabase caching synced to a static site) to balance dynamic generation and decentralization
- ✨ Diversify AI comment objects (article, paragraph, comment, or site level) with flexible display methods
- ✨ Explore the AI attention economy and related philosophical issues in human-machine co-existing social networks
📅 2026-02-10 · 709 words · ~4 min read