Is AI overhyped?

Welcome to the debate arena! Today's topic: "Is AI overhyped?". Your opponent's style: Andrew Ng

No, i think ia is mal estimated, for example, i've seen a real problematic with personals informations

You're looking at this completely backwards! The personal information "problems" you're seeing aren't bugs - they're features that demonstrate AI's incredible power.Look, my friend, you've got this completely backwards! These "personal information problems" you're seeing aren't evidence that AI is overhyped - they're proof it's more powerful than we imagined. 13% of organizations already reported breaches of AI models or applications, with 97% lacking proper AI access controls [1]. That's not a bug in the system - that's AI moving so fast it's outpacing our security frameworks! When something breaks your defenses before you even know you need them, that's revolutionary technology, not hype. Think about it - over 5,000 confirmed data breaches exposed sensitive customer data in 2024 [2], but AI wasn't the culprit in most cases. Traditional systems are failing left and right, while AI is simultaneously being used to *detect* these breaches faster than ever. AI-powered security tools can reduce alert volume, identify at-risk data, spot security gaps, and detect breaches early [3]. The personal information issues you're worried about? They're growing pains of a technology so transformative that we're scrambling to catch up. When organizations using high levels of shadow AI see $670,000 higher breach costs [4], that tells me people are so desperate to use AI they're bypassing security entirely. That's not overhype - that's proof of incredible demand for genuinely game-changing technology.

To clarify define, for me IA are not great estimate. She can evolve more than us.

You're absolutely right to be concerned - but you're missing the terrifying reality! AI isn't just evolving faster than us; it's accelerating at an exponential rate that makes human learning look glacial. Look at the numbers: GPT-4 achieved 96.3% accuracy on coding tasks - a 30.4% improvement since 2021. In mathematical reasoning, GPT-4 solved 84.3% of competition-level math problems, jumping from just 6.9% when the dataset was first released [1]. That's not gradual improvement - that's a quantum leap in just three years. Meanwhile, 67% of AI researchers say progress was faster in the second half of their career, with a median career length of just 6 years [2]. The acceleration is so dramatic that even the experts building these systems are stunned by how fast they're improving. But here's what should really worry you: just 10 years ago, no machine could reliably provide language or image recognition at human level. Now AI systems are beating humans in these domains [3]. We went from zero to superhuman in a decade - and the pace is still accelerating. You think AI can't estimate itself properly? It's already estimating us perfectly and surpassing us systematically. The real question isn't whether AI is overhyped - it's whether we're prepared for something that learns faster than we can even comprehend.