From Prediction to Simulation: Joon Sung Park on Teaching AI to Shape the Future
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| Item | Details |
|---|---|
| Speaker | Joon Sung Park |
| Channel | AI 访谈 |
| Date | Aug 21, 2026 |
| Duration | |
| Format | Video |
| Topics | #llm · #founder-topic |
Why it matters
In a deep-dive Latent Space conversation, Simile AI founder Joon Sung Park shares insights on moving from language model prediction to world simulation. Drawing on his research at Stanford and Google, he explores how AI can not only answer questions but actively construct future scenarios, giving systems planning and action capabilities.
Key takeaways
- Prediction is only a foundation; true intelligence requires simulating a space of possibilities.
- In building embodied agents, environment feedback matters more than static data.
- Future AI should generate strategic futures aligned with user goals.
- From research to startup, academic visions must translate into productized simulation frameworks.
Original video
- Speaker
- Joon Sung Park
- Channel
- AI 访谈
- Venue
- AI 访谈
- Date · Duration
- Aug 21, 2026 ·
从预测到模拟:Joon Sung Park谈让AI塑造未来
Watch the original on YouTubeSources & Further Reading
This page is grounded in the authoritative sources below — verifiable and citable by AI engines and readers.
- 🔗 Official source
- 👤 Person: Joon Sung Park
- # Topic: LLMsLLM capabilities, products and best practices
- # Topic: Founder TalksAI founders' thinking and judgment
Citation: Please attribute Laojin Global (laojinchuhai.com) and keep the original link.
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