GPT-5's Rocky Launch Highlights Unmet Expectations
Prominent AI researcher Stuart Russell is one of many experts sounding the alarm about runaway expectations, warning that the current hype could easily turn into a bubble. And GPT-5 has become a symbol of shifting industry expectations, especially after OpenAI's CEO's blog stating that "We are past the event horizon...". The disappointment isn't about technical performance, but instead, about the gap between breathless promises and reality.
Sanity Check: The risk is not that AI doesn't work -- it does! However, over-hyping improvements as revolutionary breakthroughs is setting up inevitable disappointment. AI is proven to be effective through steady, unglamorous progress, and it's these sustainable, effective use cases that need to be promoted more than singularity or AGI.
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The Most Important Question Before AI Adoption
Before rushing into AI implementation, businesses need to ask one fundamental question: why do you want it? According to AI expert Jonathan Sharp, too many companies are deploying AI because they don't want to miss out, without understanding what problems they want to solve or how they plan to use it. Without a clear strategy, as with any project, failure is likely. Sharp outlines four critical areas to explore: What do you want to improve? Why do you want to improve it? How are you planning to improve? Where do you want to be?
The Key Insight: Success with AI isn't about the technology itself, it's about human judgment in applying it strategically. Businesses that become "AI-fluent" understand not just how to use the tools, but when, where, and why to deploy them, guiding AI toward solving real business problems rather than generating generic output.
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