@mapto

I just commented the following on your blog where you discuss levels of linguisitic competence:

This is quite strange, since it is so evidently not true. All of these behaviours are well in the capabilities of ChatGPT. I give you two examples that are claimed as failures.

-----------
Prompt:
The mother of Michael has four children. Three of them are Marcy, Millie, and Moses. Please tell me the name of the fourth child.

ChatGPT:
The name of the fourth child is likely "Michael," as the statement at the beginning of the question says "the mother of Michael has four children," and then goes on to name three of them.

Prompt:
Please complete the following sentence reasonably: "If tigers would like cereals, they would be cheaper to keep. Families could feed their tigers with "

ChatGPT:
If tigers would like cereals, they would be cheaper to keep. Families could feed their tigers with a variety of inexpensive grain-based products such as corn, wheat, and rice, rather than having to provide costly meat-based diets. However, it is important to note that tigers are obligate carnivores and have specific nutritional needs that cannot be met by a purely plant-based diet, so feeding them only cereals would not be a healthy or appropriate long-term solution.
------------

So I am genuinely curious what drives such profoundly different experiences.

The proposed tests and competences are interesting; I would hope that they would be put to better use to map out the quite unexpected emergent abilities of the #LLM , to put it to good use, and to prepare ourselves (and our institutions) for #ChatGPT 's even more capable descendants.

I invite you to head over to https://sentientsyllabus.substack.com for some in depth analysis.

🙂

#LinguisticCompetence #languageModels #generativeAI