预见式计算：下一个大趋势是让人变懒
Anticipatory Computing - The Next Big Thing Is Enabling Laziness
预见式计算（anticipatory computing）指技术主动预判需求并自动执行，从而把用户从待办事项中解放出来。Control4 上周 IPO、Nest 大获成功，Google Now、Lockitron 等产品已通过硬件传感器与软件学习实现这一能力。作者预计未来几年将涌现更多预见式计算创业公司。
In short : Discover how anticipatory computing is reshaping technology to simplify daily tasks and enhance user convenience.
Control4’s IPO last week and Nest’s massive success mark the beginning of mainstream, useful connected devices. In the decade to come, the most successful will be united by one common characteristic. They will anticipate our needs and make us lazier.
Living is hard work. So many things to remember, like buying milk on the way home tonight. Plenty of software has been written to help us manage our daily torrent of to dos. In fact, there is a fine app for Remembering the Milk.
But it has one flaw. I still have to remember to Remember the Milk.
Instead, I’d prefer to worry less. Wouldn’t you? I’d like the milk (not me) to remember to arrive fresh before I pour a bowl of GrapeNuts at 7am on Monday.
I’d prefer not to remember to turn the air conditioning down, lock the front door of my house, feed a pet, pause the sprinklers after rain, type in today’s workout into the treadmill or order a milk delivery.
This is anticipatory computing. When technology anticipates our needs and acts accordingly, we will have achieved that zenith of laziness. We will be liberated from the tyranny of to dos.
We’re on the precipice of large scale anticipatory computing. Google Now predicts my destination and informs me of the traffic conditions using sensors in my phone and behavior recorded in software. Nest intelligently manages climate in houses. Lockitron secures homes. These products seamlessly blend hardware sensors and software learning to create magic.
Over the next few years, many more anticipatory computing startups will solve problems for consumers and achieve huge success.
I can’t wait to forget about all those things I have to remember to do.
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GP at Theory Ventures. Former Google PM. Sharing data-driven insights on AI, web3, & venture capital.
来源：Tomer Tunguz 博客（VC 分析） · tomtunguz.com