Does this skill provide advice for AI entrepreneurs?

Yes, it offers guidance on the 'ground zero' mindset for founders, hiring for intellectual fearlessness, and strategic decision-making regarding open-source contributions.

How does this skill help with AI research selection?

It provides Fei-Fei Li's framework for selecting 'compute-immune' and 'delusional' problems—areas where curiosity-driven research can outperform pure industrial scaling.

What technical 3D concepts does this skill cover?

The skill covers the continuum between pure generation and reconstruction, including technologies like Neural Radiance Fields (NeRF), Gaussian Splatting, and Differentiable Rendering.

What is spatial intelligence in the context of AI?

Spatial intelligence is the multifaceted ability for AI to understand 3D world structures, generate novel environments, and reason about physical space, which is considered a fundamental requirement for AGI.

Spatial Intelligence Knowledge Base

Name: Spatial Intelligence Knowledge Base
Author: jona

byjona

0•

Data Science & ML

Provides expert insights on spatial intelligence, 3D world modeling, and AI research strategy based on Fei-Fei Li's YC talk.

This skill integrates the core principles of spatial intelligence—the ability for AI to understand, reason about, and interact with 3D worlds—drawing directly from Fei-Fei Li's pioneering insights. It serves as a specialized advisor for developers and researchers exploring the evolution from 2D vision to 3D world models, offering frameworks for the data-algorithm-compute trinity, research problem selection (the 'delusional' mindset), and AI entrepreneurship strategies. Whether you are building robotics, creative content engines, or foundational AI, this skill provides the strategic and technical context needed to navigate the next frontier of AGI.

Key Features

010 GitHub stars

02Analyzes the evolutionary significance of vision in the path to AGI.

03Explains 3D world modeling concepts including NeRF and Gaussian Splatting.

04Provides research strategy advice for identifying compute-immune problems.

05Applies the Data-Algorithm-Compute trinity framework to AI breakthroughs.

06Offers startup guidance on open-source strategies and hiring fearlessness.

Use Cases

01Designing a roadmap for a new 3D computer vision or robotics startup.

02Identifying high-impact, 'delusional' research problems in spatial AI.

03Deciding between open-source and proprietary strategies for AI models.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jona/ycombinator-skills spatial-intelligence-li

For use in Claude.ai and ChatGPT

Download Skill