“Put a human in the loop” has become the default answer to AI risk. It sounds reassuring, responsible, and complete. But in practice, simply inserting a human does not guarantee better outcomes. Without the right skills and conditions, it often creates a false sense of safety. ------------- Context ------------- As AI systems become more capable, many organizations rely on human-in-the-loop approaches to maintain control. The idea is simple. AI produces an output. A human reviews it. Risk is reduced. What actually happens is more complex. Reviewers are often overwhelmed by volume, unclear about what to check, and uncertain about how much responsibility they truly hold. Over time, review becomes routine. Routine becomes trust. Trust becomes complacency. This is not a failure of people. It is a failure of design. Oversight is treated as a checkbox instead of a practiced capability. Human-in-the-loop only works when humans are equipped to be there meaningfully. ------------- The Illusion of Oversight ------------- Many review processes look solid on paper. A human approves. A box is checked. A log is created. From the outside, risk appears managed. Inside the process, the reality is different. Reviewers face time pressure. Outputs often look plausible. Context is incomplete. The easiest path is to approve unless something is obviously wrong. AI systems are particularly good at producing reasonable-looking answers. That makes superficial review ineffective. When errors are subtle, humans miss them, especially at scale. The illusion of oversight is dangerous because it delays learning. When mistakes eventually surface, they feel surprising and systemic, even though the signals were there all along. ------------- Judgment Fatigue Is Real ------------- Human-in-the-loop assumes humans can sustain attention and discernment indefinitely. That assumption breaks quickly. Reviewing AI outputs is cognitively demanding. It requires holding context, spotting inconsistencies, and questioning confident language. When volume increases, fatigue sets in. Review quality drops.

Most entrepreneurs aren’t stuck because they’re lazy or incapable. They’re stuck because they’re waiting. Quietly. Waiting for more clarity, better timing, more confidence, or for things to settle down. As long as you’re waiting, your potential and your business stays parked. Progress in business doesn’t come from more preparation. It comes from decisions. Every time you explain why you’re not moving yet, you hand control to something outside yourself: the market, the economy, your schedule, your past results. None of those are coming to build the business for you. The people who actually break through don’t feel ready. They move while uncertain. They don’t wait for perfect conditions... they adapt to the conditions they’re in. They don’t wait for permission, because no one is handing it out. Most people keep their effort conditional. “I’ll go all in when things calm down.” “I’ll commit once I feel more confident.” “I’ll start after this next thing.” And months (sometimes years) pass. Not because the idea wasn’t good, but because the conditions were never removed. So here’s something actionable for the week ahead: Pick one decision you’ve been delaying because you wanted more clarity. Make it by the end of the week...imperfectly. Then take the first uncomfortable action that follows from that decision. No optimizing. No overthinking. Just movement. Clarity shows up after action, not before it. Drop in the comments: What’s the one decision you’re done waiting on this week?

In this video, I break down the week's happenings in AI including Clawdbot (Moltbot), a ton of new upgrades to the Claude ecosystem, new techniques and workflows people are using to create short films with AI, and more. Enjoy!