EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Lobsters·Aug 29·5 min read
On 'scaling up' and being the right size
TL;DR
The article critiques the common assumption that scaling up projects, particularly in citizen science and free knowledge, is inherently beneficial. It emphasizes the importance of being the right size, drawing on evolutionary biology concepts to illustrate how size constraints affect functionality.
✦ Why It Matters
Evaluate your project's size and adapt it to fit its unique requirements rather than simply aiming for larger scale.
Key Takeaways
- Assess the trade-offs before deciding to scale your project.
- Consider creating smaller, interconnected communities instead of large, centralized ones.
- Recognize that larger organizations often face increased complexity and bureaucracy.
- Explore federated models that maintain community engagement and adaptability.
How It Works
Haldane's Principle illustrates that as organisms grow, they face physical constraints that necessitate changes in structure. This concept applies to organizations, where scaling up often leads to increased complexity and bureaucracy, which can hinder effectiveness.