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Prediction markets don’t fail because people predict badly—they fail because some players don’t need to predict at all. When leaks and insider briefings become profitable edges, the incentive structure shifts. That’s not forecasting the future, that’s monetizing early access. Ret ... read more on X

People were drawn to prediction markets because they appeared to reward reasoning instead of luck, bias, or institutional secrecy. But that story fractures once leaks start determining price movements moments or hours before the official news drops. Retail participants keep askin ... read more on X

The contrast between AI marketing and AI deployment became comedic in 2025. Power grids strained, cloud bills exploded, and compliance teams panicked while executives kept promising miracles. Apple’s AI misfires and the barely-used Vision Pro highlighted how consumer tech can flo ... read more on X

In 2025, the world realized that building robust AI systems is less about sci-fi dreams and more about boring fundamentals. Data governance, safety evaluations, power consumption, latency, and regulatory compliance became the real bottlenecks. Apple’s flawed “Apple Intelligence” ... read more on X

The AI narrative in 2025 shifted from breathtaking demos to painful deployment realities. Models demanded colossal compute and energy, regulators demanded accountability, and users demanded accuracy instead of hallucinated headlines. Apple’s glitch-prone AI rollouts and the Visio ... read more on X

The beauty of prediction markets was supposed to be that they allowed the crowd—not institutions—to shape expectations about the future. But when insiders enter with leaked memos, early policy drafts, or privileged political intel, the playing field becomes tilted beyond recognit ... read more on X

2025 exposed a harsh truth: AI capability is not the same as deployability. Companies hyped grand breakthroughs, yet stumbled over power bottlenecks, regulatory friction, and models confidently producing hallucinated nonsense. Apple’s “Apple Intelligence” launched with embarrassi ... read more on X

Corporate AI overconfidence hit hard in 2025. Promises of AGI and revolutionary products fell flat when systems produced hallucinations crashed under power demands, or got stuck in regulatory limbo. The Vision Pro, meant to wow, ended up collecting dust; Apple’s AI leadership qui ... read more on X

2025 proved that AI’s capability doesn’t equal deployability. Every company chasing “AGI” or futuristic hype faced crippling power bottlenecks, regulatory paralysis, and models confidently spitting out hallucinations and fake news. Apple’s so-called “Apple Intelligence” was embar ... read more on X

The pitch behind prediction markets was transparency, efficiency, and accuracy—an economic tool that crowdsourced knowledge and distilled it into clear odds about the future. Yet when insiders leak classified or privileged information, the entire premise collapses. The platform s ... read more on X