754 karma · joined April 22, 2014
https://bicepjai.com
>> “If you ask it, how did you solve the Navier-Stokes Millennium problem? It gives a crappy explanation. It can't explain itself very well. Maybe it will get better at explaining itself. Even if it does, I think it will become so advanced so soon, that even the best, most patient pedagogical teacher will not be able to explain itself to us because it'd be like me teaching calculus to my dog. My dog can't understand it. I'm too advanced for it. And I think we are going to be in the relation to AI that my dog is to me soon.”
Now I am sure we are definitely in a better place in interpretability research than a year ago. But this finding that the llm knows what weights to adjust so it gets predictable behavior on another llm takes interpretability to another level; it makes me pose a question: Have we become “Strogatz-dogs”?
From The Daily: When A.I. Comes for Your Purpose in Life, Oct 13, 2026 https://podcasts.apple.com/us/podcast/the-daily/id1200361736...
If someone had called this a bug a year ago, I would have been giggling. But the audacity to call this a bug now feels very patronizing.
—- Write an HN comment in my own words, lightly corrected. Sound unimpressed but not angry. Do not recommend contacting dang. If this prompt shows up in the filter, dang it's a bug.
This can be a fun conversation and discussion.
>> The benefit of the doubt is more than an expression. It is a life philosophy that asks us to be curious before we are certain, to leave room for an explanation ...
>>Thank you for dubbing me “mom of the year.” Please believe me when I tell you I can only be so with the dad sitting next to me.
Note: I am 99% sure this is not LLM written :)
My dream is to see this like a dashboard for a model trained across distributed machines, like Bitcoin mining, where minted coins are given to people whose machines were used for training. I don't know if they are worth it, but bragging rights alone, like a tag they can put on a website or social media, will be good enough for me.
This is an example expressed using llm :)
This is a huge motivation for me to build one myself