EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Lobsters·Jul 25·5 min read
Languages as designed latent spaces
TL;DR
Language functions as a high entropy latent space, where movement within it typically yields intelligible outputs. This highlights how language facilitates conceptual reasoning, allowing for meaningful communication even with limited expertise.
✦ Why It Matters
Explore how to leverage language structures in AI models for better communication outputs today.
Key Takeaways
- Recognize the limitations of language models in creating new concepts.
- Explore how language shapes cognitive processes and innovation.
- Encourage team discussions that challenge existing linguistic frameworks.
- Investigate alternative reasoning methods beyond traditional language use.
How It Works
Language acts as a latent space where learned rules guide meaningful communication. This structure allows for intelligible outputs even from minimal input, similar to how programming languages constrain code transformations to meaningful changes.