Seeker: Scaling & Development

How capability grows - and what changes as we scale. Use these to understand power laws, embodied agents, and the builder's toolkit that shapes modern systems.

  • Position: AI Scaling: From Up to Down and Out

    • Why it matters: Argues for a pivot from raw scale to smarter scaling - smaller, specialized, more efficient systems and better interfaces with the world.

    • Skill level: Intermediate - Advanced

    • Resource type: Reading (Position Paper)

    • Published/updated: 2024 - 2025

  • Scaling Laws for Embodied Agents

    • Why it matters: Extends scaling analysis beyond text to agents acting in environments, clarifying how data, embodiment, and feedback loops change capability growth.

    • Skill level: Advanced

    • Resource type: Reading (Academic Paper)

    • Published/updated: 2024 - 2025

  • Hugging Face Spaces

    • Why it matters: Spin up, share, and remix AI apps in minutes - perfect for learning in public and testing ideas with real users.

    • Skill level: Beginner - Intermediate

    • Resource type: Tooling - Platform

    • Published/updated: Ongoing

  • Large Language Models Comparison Dataset

    • Why it matters: A community benchmark to compare model families across tasks - helpful for picking the right tool and tracking progress honestly.

    • Skill level: Intermediate

    • Resource type: Dataset - Benchmark

    • Published/updated: Updated regularly

  • Towards Strong AI

    • Why it matters: Martin V. Butz provides a comprehensive framework for understanding the development path toward artificial general intelligence, bridging current capabilities with future possibilities.

    • Skill level: Intermediate - Advanced

    • Resource type: Reading (Academic Paper)

    • Published/updated: 2021

  • Triple equivalence for the emergence of biological intelligence

    • Why it matters: Takuya Isomura presents a mathematical framework for understanding how intelligence emerges in biological systems, offering insights for artificial intelligence development.

    • Skill level: Advanced

    • Resource type: Reading (Academic Paper)

    • Published/updated: September 2024

  • On the roles of function and selection in evolving systems

    • Why it matters: Michael L. Wong and colleagues explore how complexity emerges across scales in the universe, from chemistry to biology to intelligence - essential for understanding scaling principles.

    • Skill level: Intermediate

    • Resource type: Article

    • Published/updated: April 2025


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