gpt 4

see also: LLMs · Model Behavior

ref openai.com GPT-4

GPT-4 frames a decision surface that keeps repeating across the stack (source). I see it as a reminder that incentives, not features, do the heavy lifting. The rest is noise.

context + claim

gpt-4 shifts the center of gravity toward a new default. My claim is simple: this is a habit-forming change, not a one-off event. If teams internalize the behavior, the market follows.

signal vs noise

• Signal: behavior that persists without marketing support.
• Signal: policy or tooling that narrows future choices.
• Noise: impressive demos without a maintenance story.

risk surface

• The promise outruns operational reality.
• Costs shift from build to maintenance without warning.
• The narrative locks in before the evidence matures.

my take

I am leaning cautious: treat the change as real, but do not calcify it until the operational story holds.

friction point default drift

linkage

linkage tree

• tags
  • #general-note
  • #ai
  • #2023
• related
  • [[Trust in Platforms]]
  • [[RSS Brain]]

ending questions

What would make this feel durable instead of episodic?

gpt 4