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As shocking as that might initially seem, we should not to be totally surprised. Seven years of AI has taught us that deep learning is unpredictable, and not always human like. “Adversarial attacks” like these have shown remarkable weakness, time and again, repeatedly establishing that what deep learning systems do just isn’t the same as what people do: [![](https://substackcdn.com/image/fetch/w_1456,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F8f1f1fed-7908-4cc0-a29b-d88005ebaa10_2000x794.png)](https://substackcdn.com/image/fetch/f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F8f1f1fed-7908-4cc0-a29b-d88005ebaa10_2000x794.png)

David Beats Go-Liath

Gary Marcus

The data engineering lifecycle shifts the conversation away from technology and toward the data itself and the end goals that it must serve. The stages of the data engineering lifecycle are as follows: • Generation • Storage • Ingestion • Transformation • Serving

Fundamentals of Data Engineering

Reis, Joe;Housley, Matt;

It does not matter if the AI is sentient, it does not matter if the AI as real emotions. The problem is that the conversational interface is potent and that the AI is trained on a lot of human text input which unfortunately is probably enough to do real damage if that conversational interface is hooked up with something that has real world consequences. Humans do stupid shit, and with that conversational AIs might do too.

I Think AI Would Kill My Wife

pocoo.org

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