---
title: "Unique Friend | AI Adventist’s Jin Jie: “Personality AI” Is a Key Path to AGI"
author: "Unique Research"
sourcePublication: "Unique Research (FFCAP English library)"
originalPublishedAt: "2024-01-21T14:00:00+08:00"
canonical: "https://ffcap.cn/en/research/20240121a03s7f00"
source: "https://ffcap.cn/en/research/20240121a03s7f00"
language: "en"
cnSourceUrl: "https://view.inews.qq.com/a/20240121A03S7F00"
---

# Unique Friend | AI Adventist’s Jin Jie: “Personality AI” Is a Key Path to AGI

_Unique Research · Insight / Unique Friend Q&A · January 21, 2024 · Guest: Jin Jie, founder / tech & algorithm core, AI Adventist (AI降临派)_

Inventory type remains **insight** (Unique Friend series — not partner welcome).

## Guest

**Jin Jie** — founder and tech/algorithm core of **AI Adventist (AI降临派)**. Serial founder: 2011–2018 co-founded / joined Qianfang, Yimafu, and One money, backed by Sequoia, Matrix, and GSR. From 2016 researched reinforcement learning; founded a Melbourne company in 2021 and launched AI Adventist in March 2022.

## Q&A

**1\. Product and core scenes?**  
AI Adventist uses three models — emotion, desire, and memory scheduling — to personify AGI and build AI self-cognition. Core scene today: **AI emotional companionship**.

**2\. R&D / GTM — 2023 challenge and win?**  
Phase-one product features are complete. Phase two targets controllable generation — adding guidelines to phase-one fully divergent personalities for commercialization. Biggest 2023 challenge: rapid scale-up of service volume plus multilingual / multicultural fit — which forced a cloud-services rebuild for scale, and full internationalization (Chinese content down to ~20%).

**3\. Opportunities vs. past waves?**  
Industrial-revolution scale — not the same order of magnitude as ordinary startup waves.

**4\. Challenges landing AI in China?**  
Weak consumer willingness to pay makes commercialization hard and starves the whole chain of a healthy cash cycle.

**5\. Keys for product and GTM?**  
Product R&D must look further because the AI era moves fast. GTM and execution should stay light — trust market division of labor and stay focused on product.

**6\. Competing with giants?**  
Giants themselves will fragment. The AI company of the future is a small firm led by a “super individual.” Maintaining giant scale will cost competitiveness.

**7\. Are LLMs still too weak?**  
AI capability is not only parameter count and data volume — structure and engineering matter. Problems can also be directions and opportunities.

**8\. Human–machine collaboration?**  
The first-order change is the rise of the super individual. Enterprises should liberate their productivity first; with fewer people, processes simplify naturally.

**9\. 2024 tech to watch?**  
After the parameter race cools, watch breakthroughs in model structure and usage strategy.

_1 CN image; attach on ingest. Signup CTA in CN omitted._

— END —

---

Editorial English edition published on UniqueCapital: https://ffcap.cn/en/research/20240121a03s7f00
On-site reading page: https://ffcap.cn/en/research/20240121a03s7f00