Instead of sending workers home early, Manos said his teams are simply getting more done. A product development cycle tracking to take 24 to 36 months was completed in six months once his team incorporated AI capabilities. Rather than reduce staff, he redeployed those developers to additional projects. “It’s not so much about people are going to lose jobs, or you’re going to sort of shrink that workforce,” he said. “It’s about becoming more efficient and, in our case, getting to market faster.” More capabilities, services, and features will have to be delivered within the same historical timeframe.
The question isn't whether Python is slow at computation. It is. The question is how much effort each fix costs and how far it gets you. That's the ladder.,详情可参考币安Binance官网
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