Kasper Jordaens

model-agnostic meta-learning, or MAML, it trains a model using two machine-learning processes, one nested inside the other.[...] setting his AI the challenge of learning more than one task led it to come up with its own version of a sparse model that outperformed human-designed ones.

It is not hard to imagine that “artificial judgment” systems might be increas-ingly used in the future. These systems would autonomously evaluate cul-tural objects, scoring a design artifact, fashion item, or image with a higheror lower aesthetic value.

So: GPT-3 is incredibly powerful, but it’s only as good as its training data. And GPT-3 achieves its power through the vastness of its training data-set. Such data-sets are cannot be hand-picked for some sensitive, subtle value. They are most likely to be built around simple, easy-to-capture targets. And such targets are likely to drive us towards ... See more

GPT-3 raises many philosophical questions. Some are ethical. Should we develop and deploy GPT-3, given that it has many biases from its training, it may displace human workers, it can be used for deception, and it could lead to AGI? I’ll focus on some issues in the philosophy of mind. Is GPT-3 really intelligent, and in what sense? Is it conscious?... See more

When you send query text to GPT-3, you aren’t communing with a unique digital soul. But you are coming as close as anyone ever has to literally speaking to the zeitgeist.

An interesting cause of spurious content is what we informally refer to as "reference collisions": contexts where a single word may reference multiple concepts (like an eggplant emoji), and an unintended concept is generated. The line between benign collisions (those without malicious intent, such as "A person eating an eggplant") and those involvi... See more

The model can generate known entities including trademarked logos and copyrighted characters. OpenAI will evaluate different approaches to handle potential copyright and trademark issues, which may include allowing such generations as part of "fair use" or similar concepts, filtering specific types of content, and working directly with copyright/tr... See more