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Salman said he could imagine a future where companies, even the ones who generate the AI models, could certify that uploaded images are immunized against AI models. Of course, that isn’t much good news for the millions of images already uploaded to the open source library like LAION, but it could potentially make a difference for any image uploaded in the future.

there are some AI systems that can detect deepfake videos, and there are ways to train people to detect the small inconsistencies that show a video is being faked. The question is: will there come a time when neither human nor machine can discern if a photo or video has been manipulated?

Back in September, OpenAI announced users could once again upload human faces to their system, but claimed they had built in ways to stop users from showing faces in violent or sexual contexts. It also asked users not to upload images of people without their consent

Noah asked Murati if there was a way to make sure AI programs don’t lead us to a world “where nothing is real, and everything that’s real, isn’t?”

The theories that make sense when you have huge amounts of data look quite different from those that make sense when you have small amounts

The bigger the dataset, the more inconsistencies the AI learns. The end result is not a theory in the traditional sense of a precise claim about how people make decisions, but a set of claims that is subject to certain constraints.

theory-free predictive engines embodied by Facebook or AlphaFold.

“Explainable AI”, which addresses how to bridge the interpretability gap, has become a hot topic. But that gap is only set to widen and we might instead be faced with a trade-off: how much predictability are we willing to give up for interpretability?

On Social.coop, we don’t just post and comment about what’s on our minds; we also decide on our moderation practices and enact them through committees. The Community Working Group handles conflict resolution through accountability processes. Its members are paid with funds from our sliding-scale member dues. The Tech Working Group maintains our servers, while the Finance Working Group keeps an eye on our budget. Any member can propose new activities and policies, and we can all vote on them according to the bylaws. We adjust Mastodon’s moderation settings as we see fit.

a number of servers organized to collectively ban those that harbored white supremacists, like Gab, from the rest of the fediverse — even if it remained active on the network, most people using Mastodon would never see Gab users’ posts.