Dotcoms Broke the Web, AI Just Amplified the Noise

The web isn't broken because of AI. Let's get that straight. The real culprits are the dotcom behemoths that have monopolized the digital space. AI's role? It's like turning up the volume on a machine already out of tune.

Where's the Real Problem?

It's easy to blame AI for every hiccup online, but the real issue is more systemic. The dotcom giants, those tech titans we can't seem to live without, have made the web an echo chamber. They've centralized control over what should be a decentralized medium. Yes, AI plays a part, but it's more of a loudspeaker than a soloist in this cacophony.

Consider the data silos these companies maintain. They're not just storing information. They're hoarding it, building walls around valuable insights that should be shared. This isn't a new problem, but AI's ability to process and use such data has exacerbated the situation. But is AI the villain here? Or is it merely a tool that's been misused?

AI: Amplifier or Architect?

The narrative that AI is the architect of the web's current woes is misleading. Sure, AI-driven algorithms can serve up misinformation or prioritize engagement over truth. But these are symptoms, not the disease. The true issue lies in the architecture these dotcoms have established, an architecture that thrives on maximizing attention and minimizing transparency.

AI's potential is immense, but slapping a model on a GPU rental isn't a convergence thesis. Structural changes are needed at the foundational level, not just cosmetic AI additions. If the AI can hold a wallet, who writes the risk model?

So, what's next? The internet's centralization needs a hard reset. We need verifiable, decentralized models to take the stage. Decentralized compute sounds great until you benchmark the latency, but it's the direction we need to head in. The intersection is real. Ninety percent of the projects aren't.

Here's a rhetorical punch: If the web were truly decentralized, would AI be such a point of contention? The answer lies not in blaming AI, but in rethinking the very structure of our digital world.