OPT optimizes performance. But what makes performance meaningful?
#29
by
elly99
- opened
Beyond benchmarks and throughput, meaning emerges when models reflect on what they optimize — and why.
A semantic layer might:
– Track interpretive drift across tasks
– Score epistemic tension in decision paths
– Reflect on the ethics of efficiency itself
Not just optimization. Optimization with orientation — where performance becomes a question, not just a metric.
elly99
changed discussion title from
MarCognity-AI for OPT
to OPT
elly99
changed discussion title from
OPT
to OPT optimizes performance. But what makes performance meaningful?