What we find is that it’s a lot more than 999 out of 1,000 are pretty good, especially when you pair it with a really good set of designers and a good team that’s brainstorming with the system. And then once you get to a decent idea at a decent fidelity, or a couple of different ideas, you can take them and use the AI to simulate focus groups and simulate play test labs. Then you can have real humans doing play test labs as well, and get a better idea and a second opinion on how good the ideas are. Basically, it just kind of turbocharges this whole process where, in the past, maybe we could take one or two things to that full prototype phase; now, we can take 10 or 20 things to that full prototype phase. And I just think we have a richer selection and better idea about what the audience ultimately wants at the end.
Environment is a flat vector of captured values. O(1) access, one allocation per closure. Standard choice.
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"Superpollutants are a major part of the equation to limit atmospheric warming. Experts agree that eliminating them where we can is one of the most powerful levers we have to deliver near-term impact, playing a vital and complementary role to removing CO2," said Randy Spock, Google's carbon credits and removals lead. The gases break down faster than CO2 but can trap heat thousands of times more efficiently, and the coalition claims that aggressive action could prevent more than half a degree Celsius of warming by 2050.，详情可参考新收录的资料
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Right. And it just feels like every Decoder conversation for years now, I could just rely on that. Maybe AI changes that, right? Where maybe you’re not making an infinite investment in software over time because you can hold it steady with automation. Does it feel like that’s real to you?