These are deterministic, source-backed cards from the offline export. They are not live AI answers.
AI tools that are only “almost as good as a human” may lose value as user expectations rise; valuable tools need to outperform humans on the target task.
@@tjrobertson52 · asserts
Has anyone else noticed that we've had AI that's about as good as humans at a lot of things for a while now? Almost no reputable companies are actually automating much with AI. And why is that? Well, I think it's because we're learning that about as good as a human isn't good enough if it's not at least as good of a human. It just feels like AI. It feels...
AI that's "almost as good" is worthless now. The only tools that matter are ones that actuall...
@@tjrobertson52 · 2026-04-15
Has anyone else noticed that we've had AI that's about as good as humans at a lot of things for a while now? Almost no reputable companies are actually automating much with AI. And why is that? Well, I think it's because we're learning that about as good as a human isn't good enough if it's not at least as good of a human. It just feels like AI. It feels...
Has anyone else noticed that we've had AI that's about as good as humans at a lot of things for a while now? Almost no reputable companies are actually automating much with AI. And why is that? Well, I think it's because we're learning that about as good as a human isn't good enough if it's not at least as good of a human. It just feels like AI. It feels cheap, feels impersonal. As AI just becomes more capable and people become more aware of what AI can do, our expectations go up. We have higher expectations for...
r standards for what an AI tool needs to do to have any value are going to continue to go up very quickly. So we're past the days where you can just vibe code a cool project over the weekend and impress everyone. But if you have real domain expertise and you're willing to put in the time, 2026 seems to be the inflection point.
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