Mar 31 • General discussion
Autonomous system engineer
A lot of AI discussions feel disconnected from real systems.
Most of the hard parts aren’t the models — it’s everything around them.
Lately I’ve been thinking more about:
– keeping latency predictable under real-world constraints
– handling messy inputs (not ideal conditions)
– making systems degrade gracefully instead of just failing
In one project, improving the pipeline around the model had more impact than changing the model itself.
Curious how others here are dealing with this — especially in production environments.
(Also always interested in hearing what people are building lately.)
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Autonomous system engineer
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