Aug 20 • General Discussion 💬
Why Human Trial and Error Will Always Beat AI Algorithms
Someone posted that AI turned "good enough" from a 1,000 hour journey into a weekend project, but everyone else has the same superpower now. This sparked something important.
Here's my take: Rapid trial and error is most definitely a human superpower.
Adaptation is something magical. Our DNA has evolved from being able to adapt.
The reality is, adapt or die really is true - because the opposite of adapting is stagnation, which is similar to death.
If you're not growing you're dying.
Working and growing through mastery is essential for humans - without it, we're depressed.
Let me be honest: Robots don't have intuition. They act on algorithms.
Yes, AI has data mining - and it's always getting smarter from new data every second of every day.
But who's going to be the one with the vision to start a new innovative project for an unsolved problem?
Here's the framework that matters: Who's going to figure out the validated processes that lead to that vision?
The best companies are ones with a Founder and a Technical Co-Founder.
Why? Because one has an idea, drives traffic, and converts - the other brings the idea to life.
The human advantage: AI can optimize existing processes and crunch data faster than ever.
But it can't debug 500 different failures to develop intuition.
It can't develop taste from shipping 10 or 100 bad projects before one good one.
Bottom line: The deep stuff - intuition from debugging failures, taste from shipping bad projects - these remain human superpowers.
AI handles execution. Humans handle innovation and vision.
That's not changing anytime soon.
Hope you found this valuable! :)
4
2 comments
Why Human Trial and Error Will Always Beat AI Algorithms
skool.com/ai-automation-society
A community built to master no-code AI automations. Join to learn, discuss, and build the systems that will shape the future of work.
Leaderboard (30-day)
1
🔥
+2471
2
🔥
+1120
3
+1040
4
🔥
+858
5
+737
Powered by