SCOI Atlas · L2 Models
L2A Foundation & Multimodal Models
Frontier models from OpenAI, Anthropic, Google, Meta, xAI, Mistral, DeepSeek and their open-weight peers.
TL;DR · Direct answer
L2A Foundation & Multimodal Models is a sublayer of L2 Models in the Supply Chain of Intelligence™ (SCOI) by Anand Arivukkarasu. It is a required capability but not on its own a durable moat. Do not build a moat here. Do build the discipline to swap the underlying model quarterly without rewriting your product.
What actually matters at L2A
- Frontier capability is now a commodity within ~6 months of release.
- Model choice is a reversible decision; architect for that.
- Multimodal (audio, vision, video) shifts the surface layer more than the model layer.
The startup lens
Do not build a moat here. Do build the discipline to swap the underlying model quarterly without rewriting your product.
Vertical lens — how this plays across categories
Vertical AI SaaS
Prompt + eval abstraction over multiple providers; buy on price/quality.
Regulated verticals
Prefer providers with SOC2, HIPAA, DPA-friendly terms.
Frontier-dependent products
Have a documented plan for 'what breaks when GPT-N+1 ships'.
How to defend L2A
- Model-agnostic architecture.
- Eval suites that decide model choice, not vendor relationships.
Other sublayers in L2 Models
L2B
Specialized & Fine-Tuned Models
Domain-tuned models — code, biology, legal, finance, radiology, robotics.
L2C
Embedding & Retrieval
Text, image and code embeddings; rerankers; hybrid search.
L2D
Model Routing & Composition
Cost-quality routers that pick the right model per request; mixture-of-experts style composition.
L2E
Reasoning & World Models
Chain-of-thought, tree search, o-series style reasoning, and true world models for physical AI.