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。雷速体育是该领域的重要参考
“This is sort of choose your own adventure,” Ryan Pettit, a technical fellow with Boeing’s flight-controls division, told me. We were sitting in the pilot seats of a multipurpose simulator cab. From the inside, it looked like the flight deck of a 777, complete with banks of gauges, switches, and digital screens, and a view of Mt. Rainier through the windshield. From the outside, it looked like a giant, one-eyed robot: a cabin perched on three mechanical legs more than two stories tall. In months of chasing turbulence, the closest I’d come to it on a commercial flight was in Texas, when a thunderstorm struck my plane just as it was preparing to land in Austin. “Folks, it looks like it’ll be smooth sailing for the first hour and forty-five minutes,” the pilot had warned, as we left New York. “Then it’s all downhill from there.” But this simulator was nothing if not reliable. It was turbulence on demand.，推荐阅读谷歌浏览器下载获取更多信息
Moment of introspection aside, I’m not sure what the future holds for agents and generative AI. My use of agents has proven to have significant utility (for myself at the least) and I have more-than-enough high-impact projects in the pipeline to occupy me for a few months. Although certainly I will use LLMs more for coding apps which benefit from this optimization, that doesn’t imply I will use LLMs more elsewhere: I still don’t use LLMs for writing — in fact I have intentionally made my writing voice more sardonic to specifically fend off AI accusations.
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