The push for deterministic layers is a necessary evolution, turning AI from a probabilistic novelty into a reliable engineering discipline. Without these guardrails, stochastic models remain impressive experiments rather than the trusted infrastructure required for real-world production.
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You Need Determinism in a World of Nondeterminism #ai #reasoning #entrepreneur #tech #technology #vcAñadido:
So, think about the word like GenAI application. So, there's this internet meme of like a huge building, like a lot of bricks, you know, all these stuff, and then like there's only two pillars, like literally just two bricks here and there. And there's like all these stuff on top of it. And these two pillars, in my view right now, the infrastructure layer is LM and predictive analytics. Nothing else.
There's a whole world of GenAI built on probabilistic LM that we don't understand and predictive analytics.
Like just from a symmetry standpoint, if you have such a stochastic system, it makes sense for you to have some deterministic component. So, then we think of ourselves as an inevitable addition in all possible future in the AI infra layer. Yeah, you need determinism in a world of non-determinism.
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