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When 4,800 GitHub Stars Taught Me to Distrust Popularity
Research reveals 6M fake GitHub stars manipulating trust. A 4,800-star repo taught me to look beyond popularity—here's my 5-minute trust test.
Now Is the “Early, Messy Renaissance” of AI — Reading 2025 from a Florentine Workshop
Is AI a bubble or a renaissance? A practical playbook for founders and AI teams to move beyond hype with metrics, reproducibility, and real results.
I Built 2 Failed SaaS Products. Here’s What They Taught Me About Value in the Age of AI
After two failed SaaS products, I learned coding isn’t the real work. In the age of AI, developers must define value—customer, business, world, team, and self.
🧭 The Path to AGI: 5 Thresholds No One Talks About
AGI isn’t science fiction anymore—discover the five critical thresholds AI systems must cross to evolve from code into true general intelligence.
The AI Bubble and the Builders Who Break It
Why the AI bubble persists — hype, misaligned incentives, and closed research — and how an outsider approach of quantifying ethics, shipping code, and collaborating with AI offers a different path.
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