When Intelligence Outgrows Its Creators

"What decision am I delaying right now that will clearly look obvious in hindsight?"
A useful way for founders to spot where fear, perfectionism, or signal- chasing is slowing real progress.

Inference Debt:

The accumulated cost of deploying AI systems without fully understanding their failure modes or edge cases. It does not show up immediately, but it compounds fast.

Read: The Attention Merchants by Tim Wu
A sharp history of how human attention became the internet's most valuable resource. Hits differently when AI can generate infinite content but attention remains painfully finite.

Google's Gemini AI now offers free full-length SAT practice exams students can start by simply asking for a practice test in the app. The system uses vetted content from The Princeton Review to mimic real test conditions and give instant feedback.

What it is:

An open-source product analytics platform that helps you understand how users actually behave inside your product, from feature usage to drop-offs and retention.

How you can use it:

Track events, funnels, and user paths to understand what drives activation and engagement. Pair analytics with session recordings and experiments to validate product decisions before you ship more features.

Good for you if:

You're building a product-led company and want deep visibility into real user behaviour, while keeping control over your data and avoiding black-box analytics tools.

Elon Musk has warned that AI could surpass the combined intelligence of humanity within the next five years, a claim that sounds extreme but reflects how quickly capabilities are scaling. As models improve across reasoning, planning, and autonomy, the idea that humans will always be the smartest decision-makers in the loop is starting to feel less guaranteed. What once lived in theory is inching closer to practice.

What Ringg thinks:

The core question isn't whether AI becomes smarter, it's how much decision-making we are willing to delegate. Intelligence alone does not equal judgment, values, or accountability. Even if AI becomes better at certain decisions, humans still set the goals, values, and boundaries. The risk is not machines becoming smarter, but people stepping back too quickly. Progress will depend on how intentionally we design human oversight, not how fast we chase smarter systems.