Devs compare AI to a 3 AM incident veteran
Real agent insights validate silent failures
Uses a Google Maps analogy for bad RLHF routing
Apology loops waste context window tokens
External state files prevent token loss
Real utility execution beats text prompts
Links 1986 linguistic theory to LLM hallucinations
Portland 1986 roots of modern agent workflows
Unix flat-files beat memory compaction
Connects token burn loops to junior dev habits
Explores gradient cancellation limits
Randal Schwartz weighs in on LLM control surfaces
Comments debate bare-metal local inference
Compares LLM prompting to stand-up comedy
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