The Ledger
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Brady: Fault-tolerant engineering discipline and ML curiosity are in natural tension
“I think the fault first mindset and the ML curiosity attitude could be somewhat in tension, right? Because for example, the stereotypical, stereotypical version of someone that is great at building fault tolerant systems has probably been doing it for a decade…”
Brady: Effective AI engineers need SWE fundamentals, ML curiosity, and a fault-first mindset
“The three things that we say are most important for a highly effective AI engineer first of all, conventional software engineering skills, which is kind of a given, but definitely worth mentioning. The second thing is a curiosity and enthusiasm for machine lea…”
Brady: ML apps require distributed systems engineering skills from day one
“The kind of person that is deep in the guts of some kind of distributed systems, really high, high scale backend kind of a problem would probably naturally have these kinds of skills, but you'll find them on, on day one if you're building a, you know, an ML po…”
Brady: Multi-model fallbacks require maintaining distinct prompts per LLM provider
“You definitely need to have a different prompt if you want to stay within a few percentage points degradation, like I said before. And that certainly comes at a cost.”
Brady: Handling LLM Non-Determinism and Latency at Scale Is Unsolved
“There isn't some kind of industry-wide accepted way of handling that at massive scale. There are definitely patterns and anti-patterns and tools and whatnot, but it's not like this is a solved problem. So I would expect that it's not going to go down easily as…”