Episode Notes:
In this episode of The Next Step, I discussed five common misconceptions about AI. If you work with AI or make decisions around it, this is the clarity you’ll need.
Key Takeaways:
AI isn’t self-aware – It doesn’t think, feel, or understand. It just predicts what comes next based on patterns.
AI won’t take all our jobs – It replaces repetitive tasks, but creates high-value roles for people who can guide it well.
AI-generated images aren’t legally free – If your model uses copyrighted data, you’re still responsible.
Bigger models aren’t always better – Small and focused models can outperform massive ones when tuned properly.
AI can’t predict the future – It completes patterns. Real forecasting still needs real modeling and judgment.
AI is powerful, but only in the hands of people who know what it is and what it isn’t. Know the difference. Use it well. That’s how you stay ahead.
If this helped you better understand AI, share it with a colleague and follow The Next Step for more real-world conversations on how AI is reshaping how we work.
Read the Full Article:
5 Things We Keep Getting Wrong About AI
I work with big data, AI, and strategy. I’ve been part of a lot of AI conversations. Even now, many people still ask me, “What is AI or GenAI?” What also surprises me is that sometimes, people who understand technology can get it wrong. There is a tendency to turn AI into something that it’s not. We want it to be smarter, more human, more magical, and w…
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