They Put GPT-3 Into That Robot With Creepily Realistic Facial Expressions and Yikes. by Victor Tangermann. 9.14.22, 1:09 PM EDT. Engineered Arts ... Now, thanks to the power of GPT 3, ...

GPT-3 represents a massive achievement from OpenAI, ... But the robot provides the ability to learn first-hand about stacking blocks, moving objects, ...

This video explores the groundbreaking developments in AI, where robots and advanced AI systems are transforming industries ...

The reason why GPT-3 appears capable of holding a real conversation is because, unlike a robot reaching into a physical bucket, it accesses billions of software buckets simultaneously and then it ...

OpenAI says its text-generating system GPT-3 is now being used by more than 300 companies and tens of thousands of developers, who are collectively generating more than 4.5 billion words a day. It ...

"With this kind of experiment, I can concretely say 20,000 unique people came to my website and only three actually had the sense to say it was written by a robot." GPT-3 isn't the first natural ...

"You look like a thing and I love you." That won't get GPT-3 very far in love. Here's what its shitty pick-up lines reveal about AI's language skills.

GPT-3 also did just as well as the human subjects when it came to logical reasoning, ... To this end, Google is trying to combine multimodal language models with robots to solve the problem.

Now, with GPT-3 it’s bigger and smarter than ever. Tale of the tape GPT-3 is, as a boxing-style “tale of the tape” comparison would make clear, a real heavyweight bruiser of a contender.

OpenAI makes GPT-3 available as a commercial product with an API, but for a fee ($0.02 per 1,000 tokens), anyone with an OpenAI account can experiment with the AI through a special "Playground ...

GPT-3 solved 80% of the problems correctly -- well above the human subjects' average score of just below 60%, but well within the range of the highest human scores.

A year later, GPT-3 is here, and it’s smarter. A lot smarter. OpenAI took the same basic approach it had taken for GPT-2 (more on this below), and spent more time training it with a bigger data set.