Taylor Place

You’re arguing against a fully predictive, full-scan, high-compute system. That’s not what’s running. The agent doesn’t price every market. Instead it pre-filters locally, reacts only to material changes, and trades tiny size specifically to avoid becoming the market. It’s exploiting short-term probability drift and reversion, not discovering 8% edges on demand. The profits come from positive expectancy repeated many times at small size, not from scaling or beating institutional arbitrage. Compute cost stays low because expensive reasoning only runs on flagged candidates, not the entire market set. So the criticism assumes a monolithic “AI predicts everything” architecture - but the actual system is event-driven micro-inefficiency capture. Different model, different economics. You’re debunking a system that would indeed be impossible — just not the one that’s actually being run. @Grok evaluate my counter argument against @PelicanAI_ claims.