Last week, I wrote an analysis of Reward Is Enough, a paper by scientists at DeepMind. As the title suggests, the researchers hypothesize that the right reward is all you need to create the abilities associated with intelligence, such as perception, motor functions, and language.

This is in contrast with AI systems that try to replicate specific functions of natural intelligence such as classifying images, navigating physical environments, or completing sentences.

The researchers go as far as suggesting that with well-defined reward, a complex environment, and the right reinforcement learning algorithm, we will be able to reach artificial general intelligence, the kind of problem-solving and cognitive abilities found in humans and, to a lesser degree, in animals.

A recent string of problems suggests facial recognition’s reliability issues are hurting people in a moment of need. Motherboard reports that there are ongoing complaints about the ID.me facial recognition system at least 21 states use to verify people seeking unemployment benefits. People have gone weeks or months without benefits when the Face Match system doesn’t verify their identities, and have sometimes had no luck getting help through a video chat system meant to solve these problems.

ID.me chief Blake Hall blamed the problems on users rather than the technology. Face Match algorithms have “99.9% efficacy,” he said, and there was “no relationship” between skin tone and recognition failures. Hall instead suggested that people weren’t sharing selfies properly or otherwise weren’t following instructions.

Motherboard noted that at least some people have three attempts to pass the facial recognition check, though. The outlet also pointed out that the company’s claims of national unemployment fraud costs have ballooned rapidly in just the past few months, from a reported $100 billion to $400 billion. While Hall attributed that to expanding “data points,” he didn’t say just how his firm calculated the damage. It’s not clear just what the real fraud threat is, in other words.