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Monday, March 23 (Today)
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Nascar and Apple TV both set Guinness World Records as marketing stunts—World's Loudest Billboard and World's Tallest Drone Show—to establish credibility and earn organic media coverage in an AI-saturated content landscape.
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At SXSW 2026, creator economy panels revealed that digital creators like Julian Shapiro-Barnum are now turning down celebrity guests, and the Golden Globes is inviting creators to host official red-carpet coverage to reach younger audiences.
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ABC canceled the new season of The Bachelorette days before premiere after domestic assault allegations against lead Taylor Frankie Paul, prompting brand partners like Cinnabon to exit the partnership.
→Sunday, March 22 (Yesterday)
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Dinner Table Club, TimeLeft, and Thursday are capitalizing on dating app fatigue by offering paid IRL singles events as Tinder and Hinge acknowledge declining user satisfaction with purely digital matching.
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Meetup.com, acquired by Bending Spoons in 2024, raised organizer fees 88% (from $24 to $45/month) and paywalled features, yet still recorded 20% growth in new app registrations.
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Investors remain skeptical of IRL event apps scaling to match the $6.2B swiping app industry, citing the difficulty of handling in-person logistics at scale.
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Margaret Crane invented the at-home pregnancy test in 1967 at age 26 while working as a freelance designer at Organon, but signed away all patent proceeds for a dollar she never received.
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The Predictor test first launched in Montreal in 1971 because U.S. pharmacy laws prohibited pharmacists from handling bodily fluids, making Canada the test market of choice.
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Crane's design won out over competitors not on merit alone but because she personally sourced cheaper plastics manufacturers across New York City, undercutting rival prototypes on cost.
→Friday, March 20
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A Swedish study found AI is causing an accelerating decline in employment of 22–25-year-olds in high-AI-exposure occupations while workers over 50 saw a 1.3% employment rise.
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A recent study found AI use impairs conceptual understanding, code reading, and debugging without delivering significant efficiency gains on average.
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Historical data shows advances in technology have consistently led to more leisure time, suggesting AI-driven productivity gains may follow the same pattern.
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