AI Insights
Less hype. More insight.
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Deep Dive: The 1973 Lighthill Report: How One Mathematician Accidentally Triggered AI’s Dark Age
Reading Time: 17 minutes- How a 1973 British report by mathematician James Lighthill devastated AI funding and sent the field into a decade-long ice age we’re still learning from.
In-Depth Blogpost Series:
–> Wednesday Deep Dives <–
Oct 2025: AI in the Classroom
Nov 2025: How Students Actually Use AI
Dec 2025: History’s Greatest Mysteries Solved!
Jan 2026: The Great AI Reckoning of 2026 Series
Feb 2026: AI in Science & Medicine
Previous Blogpost Weekly Series:
Monday: Motivational Monday
Tuesday: Techie Tuesday
Wednesday: Wisdom Wednesday
Thursday: Throwback Thursday
Friday: Fun Facts Friday
Saturday: Spotlight Saturday
Sunday: In Case You Missed It
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Reading Time: 10 minutes – A legal envelope lands on Margot’s desk: her AI trained on stolen data. Welcome to the $4.2M lesson in why AI governance isn’t optional anymore.
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Reading Time: 15 minutes – Margot discovers that AI specialization beats generalization. See why 70% of AI value comes from vertical, domain-specific solutions—not Swiss Army knives.
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Reading Time: 16 minutes – Margot discovered a secret chat where her team sabotaged AI tools. The betrayal hurt—until she learned they weren’t rebels. They were terrified.
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Reading Time: 13 minutes – When Margot discovered her team’s secret anti-AI Slack channel, she realized the real barrier to digital transformation: humans who refuse to play along.
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Reading Time: 12 minutes – Margot Vance discovers why her $4M AI chokes on real-world data: thirty years of handwritten logs, inconsistent naming, and a mysterious Bread Van incident.
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Reading Time: 17 minutes – When AeroStream’s AI chatbot hallucinated a zeppelin fleet, Director Margot Vance learned the hard truth: the 2024 AI hype cycle just hit 2026 reality.
