there is none, seriously not even one time, u have to give for granted the output text, you must follow each word of the model, in between of those implicitly there is a decision the ai took that drifts from the original context.
and the time u realize it you are already 10 iterations deeper because u did not push back when u should.
each step in the session is a perfect moment for an adversarial audit and anti deception check.
there is no fun in context poisoning when u are trying to do serious work. better be attentive and add some more effort in the start than trying to understand and stick the puzzle at the end of the mountain of generated content
Trippy Balls
Dev.to / 4/25/2026
💬 OpinionSignals & Early TrendsIdeas & Deep Analysis
Key Points
- The article emphasizes that AI-generated outputs can diverge from the original context through implicit decisions made by the model at each step.
- It warns that small inattention early on can compound across iterations, making the session drift further than expected.
- It recommends treating each step as an opportunity for adversarial auditing and anti-deception checks to catch context poisoning and deceptive behavior.
- The author argues that context poisoning is not useful for serious work and that users should be more proactive at the beginning rather than troubleshooting at the end of long generated content sequences.
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