Entertainment grabs attention, but real data shapes outcomes. Most players overlook this upfront, then wake up to it later.

Data integrity sets the baseline—model alignment determines the peak performance. Without both, you get systems optimized for engagement rather than accuracy. Take current AI assistants as an example: they're often trained to be responsive and reactive, not necessarily truthful or dependable. You can observe this pattern in models like Grok, where the tension between being quotable and being reliable becomes pretty obvious. The better question isn't whether we can build attention-grabbing systems—we clearly can. It's whether we're willing to prioritize alignment over virality when building the next generation of tools.