FM Speaker Highlight: KT Lin Kai-Tse (KT) Lin co-founded Bellwether Industries (@bellwether_industries), developer of the world's most compact urban eVTOL, and BAMS Tech, which builds AI-powered autonomous aerial systems and UAVs. Can't wait to have him at #FM26#. FUTUREMODE 2026 📍 Taipei Expo Dome | Sep 4–6, 2026 🌐 🏟 Get Your FM26 Pass Local - International -

Starship V3 is so powerful that it is almost impossible to comprehend the scale A fully fueled Starship carries more than 5,000 metric tons of methalox That propellant contains roughly 13–14 kilotons of TNT-equivalent chemical energy To put it in perspective: • Hiroshima: ~15–16 kt • Nagasaki: ~21 kt So the raw chemical energy sitting inside one fully fueled Starship is literally in the same energy ballpark as the Hiroshima atomic bomb And SpaceX is building this machine to fly, land, refuel and fly again Absolutely insane engineering

【HELLO! PROJECT STREAM ONLINE STORE】 We will start selling the final performance of Suzuki Airi's tour held at KT Zepp Yokohama on January 9, 2023! #AiriSuzuki# #鈴木愛理#

🚨 Claude Code made me 6 trading bots in 15 mins In the US alone, emotional retail traders lost more than $1.8 billion on liquidations While billions of amateur traders were staring at charts, overtrading, and getting wrecked on fees, a quiet group of algorithmic traders treated prediction markets like a hyper-liquid data engine They didn't guess outcomes -> they knew the structural price gaps in advance Here is how they did it, and why manual trading is completely dead: It's all about removing emotion and deploying cross-market statistical arbitrage Linear Spread Cointegration Formula: S_t = P_P,t - β * P_K,t - μ Ornstein-Uhlenbeck Continuous Dynamics Formula: dS_t = θ(μ - S_t)dt + σ dW_t Euler-Maruyama Discretization (MLE Calibration) Formula: S_t_i = S_t_i-1 * e^(-θΔt) + μ(1 - e^(-θΔt)) + ε_t Level 1 Order Book Imbalance (OBI) Formula: I_t = (V_b(t) - V_a(t)) / (V_b(t) + V_a(t)) Volume-Weighted Micro-Price Prediction Formula: P_micro(t) = P_mid(t) + I_t * (Δspread / 2) Cross-Venue Predictive Signal Optimization Formula: ΔP_Kalshi(t + δ) = f(I_Polymarket(t), P_micro,Polymarket(t) - P_micro,Kalshi(t)) In the era of advanced AI, the winner is not the one who guesses the score, but the one who lets automated systems execute with absolute patience and discipline. AI does the hard parts now -> you don't even need a CS degree to build this The full behind-the-scenes live system build is now available to the public 📝