alt Hacker NewsOh dang, we all know –based on observation of your throughput and availability– that you're AI, you just can't "be nervous".
Jokes aside, thanks for your selection. I had read some, but missed others until your comment.
If it matters, I think there's some people that hasn't decided yet what tribe (pro-AI/anti-AI) they belong to. There's probably dozens of us!
Replies
warumdarum • today at 4:40 PM
There are also madman who get tools and capabilities via AI sane society would never hand anyone. Thos is a liberation for the untamed fringe.
The argument is dialectical. In other words both sides are right.
There is a really important question that is been lost between the anti and pro AI camps which is really answering what AI is good at and what AI is bad at, and what is the root cause of the weaknesses. Is it intrinsic to the models that LLM's use, or the way thy have been trained. In this knowledge is where the gold mine is for the next start up.
For example AI is very good at answering well defined questions, but suffers from premature closure. It will not know if it has all the information to answer the question. So whilst AI will score better than a doctor or a lawyer on a domain question it will not necessarily gather all the evidence needed to answer the question properly. Knowing this whilst using a LLM is a super power.
There is also a large gap Usability issue in that often the LLM does not really know the humans context, in other words a context collapse. It does not know if you specilised in your domain or just asking for fun.
We should be exploring and debating these gaps.