I contributed to an article titled “Researchers Evaluate the Top Four AI Stories of 2022” in the January 2023 edition of the Pure AI web site. See https://pureai.com/articles/2023/01/05/top-ai-stories-of-2022.aspx.

I am a regular contributing editor for the Pure AI site. For this article, I collaborated with two other AI experts and we reviewed AI/ML news stories from 2022. We ultimately agreed that four significant stories were:

The release of the DALL-E 2 system to generate artificial images.
The development of the AlphaFold system to predict protein structure.
The development of the Cicero system to play master-level Diplomacy.
The release of ChatGPT to answer arbitrary text-based questions.

Images generated by DALL-E by a prompt of, “A painting of a fox sitting in a field at sunrise in the style of Claude Monet”. OK, but how can this generate significant revenue?

Of these four, the two that I had the strongest opinions on were AlphaFold and ChatGPT. I was impressed with AlphaFold and said that it’s possible the system could lead to huge advances in biology. I was not impressed with ChatGPT, feeling it’s over-hyped. The main problem with ChatGPT is that there’s little or no control over the source of responses to a question like, “Why did Russia invade Ukraine?”

Research shows that women chat much more than men in social scenarios. There are surprisingly few chatty women robots in science fiction movies. Left: Ava is an advanced experiment in “Ex Machina” (2014). Center: Rachel is an administrative assistant in “Blade Runner” (1982). Right: Arlette is a harlot in “Westworld” (1973).