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The "efficiency" of propAMMs come from an external price feed It assumes price is discovered elsewhere and imported. Oracles stop being relevant when you're the largest market AMMs are far more ambitious, as they assume they are the venue where price discovery takes place

Capital efficiency matters. On Exchange OS, instruments operate under a shared cross-margin model in a venue, allowing collateral to work across markets instead of sitting in isolated silos. Built for flexibility without sacrificing efficiency. Connect with our team:

Grok 4.5’s efficiency is ridiculous On Artificial Analysis, it costs just $0.31 per Intelligence Index task while delivering frontier intelligence For comparison: • Claude Fable 5 (max): $2.75 • Claude Opus 4.8 (max): $1.80 • GPT-5.6 Sol (max): $1.04 • Kimi K3: $0.95 • Grok 4.5: just $0.31 That makes Grok 4.5 roughly: • Nearly 9× cheaper than Claude Fable 5 • Nearly 6× cheaper than Claude Opus 4.8 • 3× cheaper per task than Kimi K3 • 3.4× cheaper than GPT-5.6 Sol On FrontierSWE, Grok 4.5 also used nearly 6× fewer total tokens per task than Fable 5 while still ranking near the very top SpaceXAI has figured out how to deliver top-tier intelligence with extraordinary token efficiency At this level of performance, no other frontier model is operating in the same cost-efficiency league Grok 4.5 does not brute-force every problem with endless tokens and compute It makes every token and every dollar work harder

Drones raise farming efficiency, quality in China A drone flies over rice fields at 8 meters per second, sowing rice seeds in the afternoon in Liantang village, Huangpu district, Guangzhou, south China's Guangdong Province. In just 30 minutes, 300 mu (20 hectares) of rice fields are sown. Across the farmland, Internet of Things (IoT) devices, including soil sensors, weather stations, and smart cameras, send data back to the "farm brain" every 15 minutes. "One drone can manage 500 mu of farmland, enabling fully unmanned cultivation," said Gong Jiaqin, co-founder and senior vice president of XAG, an agritech robot maker. Around 3,000 km away in Yuli county, northwest China's Xinjiang, XAG's 3,000-mu smart cotton farm is just as still and silent. There are no workers, only drones autonomously patrolling overhead, while unmanned vehicles move along preset routes, delivering precisely measured water and fertilizer directly to each cotton plant's roots. This is China's first unmanned cotton farm project. When it was launched in 2021, local cotton farmers thought it was impossible for two people to manage 3,000 mu of land. By 2024, however, the farm achieved an average yield of 529 kilograms of seed cotton per mu, with premium cotton accounting for over 96%. Read full:

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