We need to start fighting the behavior of AI assistants

We need to start fighting the behavior of AI assistants


This future sounds far away, but it is not. Chances are, when we get there, there will be important and worthwhile questions to ask. In the meantime, read more from my column on AI assistants Hereand ponder how you think an AI interviewer might know you in two hours.


Deep Learning

Within Clear’s ambitions to manage your profile beyond the airport

Identity is the world’s most visible biometrics company, and you’ve probably already experienced it, whether it’s going through airport and stadium security or verifying your identity on LinkedIn. Over time, it builds one of the largest databases in the world, including scans of fingerprints, irises, and faces. The convergence of content is now accelerating the adoption of information verification technologies – including AI, of course, and the challenges caused by the epidemic that pushes “unconnected” – and Sensible wants to be the provider of these services everywhere. In the near future, most things that require an ID or credit card will require just showing your face.

Why is this important?: Now that biometrics have advanced, what—and who—bears the cost? Because this freedom, even if chosen by some of us, leaves all of us to deal with the consequences. If Clear succeeds in its vision, it will lead us to a world where we are forced to provide biometric information to a system vulnerable to data breaches. Read more from Eileen Guo.

Bits are Bytes

Inside the booming “AI pimping” industry.

Instagram is flooded with hundreds of artificial AIs that are stealing videos from real models and big creators, giving them AI-made faces, and monetizing their bodies with social media links, Patreon, OnlyFans competitors, and various AI programs. (404 Media)

How to protect your creativity from AI

There is little you can do if your work is already stored in the data set, but you can take steps to prevent future work from being used that way. Here are four ways to do that. (MIT Technology Review)



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