Livan
Artificial Intelligence is not magic; it is probabilistic compute applied to massive datasets. When viewed through the lens of infrastructure, the narrative shifts from utopian promises to a discussion of operational costs, latency budgets, and non-deterministic failure modes.
Debunking the Automation Myth
The prevalent narrative suggests that AI will cleanly replace human labor in a one-to-one mapping. The reality is that AI introduces a new layer of complex maintenance. It requires constant supervision, evaluation pipelines, and fallback mechanisms when hallucinations occur. It does not eliminate work; it changes the nature of it. See our deep dive on AI and software incentives.
Dependency Risks
Building core product capabilities on top of third-party API endpoints introduces severe systemic risk. You do not control the underlying model weights, the pricing structure, or the deprecation schedule. True technical moats are rarely built on rented, undifferentiated APIs.
The Cost of Non-Determinism
Traditional software engineering relies on deterministic state. AI introduces probabilistic outputs into the core logic loop. Handling this gracefully requires new systems-level thinking. You cannot write a unit test for a system that generates a slightly different response on every invocation.
For unpolished thoughts on handling non-deterministic systems in production, check our Lab.