Thread: unified end-to-end multimodal systems will replace hand-built orchestration
andreisavu · x · 2026-11-10
andreisavu laid out a 6-post thesis on the convergence of specialized AI models:
- Today: speech, vision, image generation, and robot control are handled by separate specialized models; the next step is one system that also decides when to act, call a tool, or think longer.
- Key consequence: the whole system becomes optimizable end to end — perception, reasoning, and action trained together, with task-completion as the feedback signal.
- Transition: specialized components provide capabilities, training data, and demonstrations to bootstrap the first working integrated version; the integrated system then becomes the object of further learning.
- Architecture: MoE, modality-specific heads, and structured decision APIs all fit in; specialization survives, but hand-designed boundaries and coordination evolve through learning.
Core claim: decisions we hard-code in orchestration today — retry, ask, call an API, act vs. think — affect outcomes, latency, and cost, and can be trained directly into the model.
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