Angela Jiang from Anthropic predicts that within about a year, AI systems like Claude will evolve to understand their own capabilities and automatically determine the best approach to complete tasks, reducing the need for users to worry about model selection, architecture, or prompt engineering. Instead, users will only need to define the desired outcome and budget, while the AI handles the setup and architecture on its own.
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Anthropic Angela Jiang: The Future of AI: Moving from Prompting to Intent 🚀追加:
We want to get closer and closer to that that state where I think we we kind of Okay, so a couple things. I think in a year from now, I mean, one thing that we'd love to get really really close to is actually that kind of like simplicity. And this might be significantly higher order of abstraction. I don't know what the form factor will look like or whatever, but the kind of parameters we will care for from users will be that outcome. And of course it has to be verifiable. There are some parameters that they have to be restrictive. And and the budget. And I think like we'd want to experiment with with directions where Claude actually gets so good at understanding itself. It It figures out what model you should be using. It figures out how to spin up all the subagents. I actually don't think you need to think so much about harness engineering in that world. Today, you know, you don't have to think so much more aggressively about like tool construction for example. Like we've kind of made that a little easier and you get to delete a little bit of that scaffolding.
>> Less prompt engineering too. Yeah.
>> Yeah, exactly. Exactly. And I think if you just keep going up that stack, like today a lot of the innovation is happening at this kind of like like like really high-level, almost like harness architecture like level, which is really fun. But I think a lot of that honestly also kind of goes away where you almost like don't have to think so much about like model selection. You don't have to think so much about what kind of architectures are there because we probably put have would have like gone through enough iterations with Claude where Claude is actually able to understand itself enough that it can come almost like write itself on the fly to figure out what is necessary in that kind of like two parameter world of like outcome and budget. I don't know that we'll get there like in a year, but I feel like we might be able to do like the outcome part of that with like maybe you know, some bars of some error bars on on the budget side.
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