🧠 Issue #11 – The Human Code Behind the Machine

🔎 The Spark

Meta just dropped $14.8 billion for nearly half of Scale AI—the company that teaches machines right from wrong through human judgment.

This isn't just another acquisition. It's admission that tomorrow's AI won't replace human intelligence—it will amplify it.

💭 The Insight

Here's the thing: AI needs human judgment to work.

Every breakthrough model relies on humans to label data, flag bias, and make ethical calls. The machines can't do it alone.

Meanwhile, we're getting really good at not choosing.

But here's what's curious—the muscle of decision-making might work like any other muscle. Use it or lose it. And we're in the middle of the largest experiment in human history: what happens to a species that stops flexing its judgment?

The first generation to grow up with algorithmic recommendations is now entering the workforce. They're remarkably good at optimization, terrible at starting from scratch.

What happens when the thing that makes AI smart becomes the thing we're least practiced at?

🔗 Curiosity Clicks

1. Zuckerberg's frustration drives $15B bet – CNBC reveals why Meta's CEO is "agitated" that rivals are ahead in AI

2. The humans quietly training your AI – The Drum explores the hidden workforce rating AI responses all day

3. Scale's 26-year-old CEO joins Meta – Newcomer on how Alexandr Wang went from data labeling to the driver's seat of AI's future

🧭 Human Prompt

When a machine recommends something next—pause and ask: "Am I agreeing—or am I giving away my judgement?"

Keep thinking,
— Jesse