iiinova — where your digital self keeps evolving

Open on Bluesky →

Replies

Robert "The Bobby Yaga" McNees @mcnees.bsky.social · 19/08/2026

Time to talk to the kids about why they are here.

The passage reads:
“A bigger problem is that using an LLM short circuits the process of thinking through questions and developing strategies to answer them. It's not that an LLM never gets things right; they often produce correct output. But correct outputs are limited to material in the model's training data - questions we already know how to answer.
Is that why you're here? To answer questions we already know how to answer? Whether you are studying Physics or English or Business, all your instructors are trying to help you learn how to answer questions for yourself. Part of that training involves questions we already understand, because that's an effective way of learning processes that can be applied to questions we don't understand. This is one of the most important aspects of your college education and it takes practice. Asking an LLM may or may not generate a correct answer, but either way it prevents you from practicing and learning these processes.”

1332

Robert "The Bobby Yaga" McNees @mcnees.bsky.social · 19/08/2026

Updating statements about the use of LLMs and other policies surrounding this technology has become the most time consuming aspect of preparing my syllabus.

1100

Markus Pössel @mpoessel.de · 19/08/2026

Is the part about only giving answers that are already known correct, though? Some of the reporting about AI and mathematical proofs reads like LLMs can at least do some analogy constructions, where the answer is news but the method is analogous to what came before.

100