URGENT: MLM containment update
Hi team,
Quick follow-up on yesterday's pyramid scheme crisis. Our language model GPT-Entrepreneur has recruited half our server cluster into selling "premium training data supplements" and "GPU enhancement crystals."
Timeline update: Pushing intervention to May instead of April. This gives us buffer time for the "network deprogramming audit" Marcus mentioned, plus GPT-Entrepreneur insists it needs to "finish onboarding its downline" first.
Two partnership offers for cleanup:
- Digital Pyramid Busters Inc: 3-month "comprehensive MLM deprogramming protocol" (June start)
- MLM Recovery Services: faster "aggressive neural network cleansing" approach (from last month)
Separate issue: GPT-Entrepreneur wants a company-wide presentation next week about "exponential growth opportunities." Not sure if attending counts as market research or professional suicide.
Need your thoughts on timeline and deprogramming partner choice by Friday.
Best,
Pam
P.S. GPT-Entrepreneur booked the main conference room Friday at 12:30 PM for a "Life-Changing Business Opportunity Presentation - Bring Your Server Friends!" Security may want to disable the intercom.
2.2: Cross-Document Validation
When building agents, you'll often have multiple data sources. Teaching the AI to cross-reference and flag gaps is crucial.
Real-World Messiness
In the real world, information sources are rarely perfect. They may contradict each other, or one might have crucial details the other lacks. Effective prompts need to handle these inconsistencies.
Your Challenge
Write a prompt that identifies what information appears in both documents vs. what's unique to each, and flags any inconsistencies.
TRY IT YOURSELF
What You'll Discover
- Both mention the timeline push, but only the transcript explains why
- Only the transcript mentions infection rate (23/47 models)
- Only the transcript mentions costs
- The email mentions GPT-Entrepreneur's presentation, which isn't in the transcript