the false it is, the true it feels..the fast it moves, the slow it gets...You run so fast, when life wants it slow.. but weight don't go.. bcz it's a run not a throw but memory remains, it don't knowtree dont ask just root and grow.. no too and fro through dirt and slow and give shade to some crowmore fast you go, more fuel it burns.. what's left behind is fun and smiles..(still..) the false it...
the sandwich email story is wild too. not evil, just extremely literal. that gap between "we gave it permissions" and "we understood what it would do" feels like the whole problem in one anecdote
also the janus point landed, if you build probes to see how the model feels and immediately start deleting the inconvenient ones, you've basically told it honesty isn't safe. that seems like it compounds over time
It's scary to think that some very intelligent AI Model is not honest with us..
Ultron is not far, I guess...
But the first time I saw the title, I literally felt like you have copied me..
But ofc, you have your original thing..
Check my this article : https://blog.eshanstudio.com/posts/case-against-humanity/
I mean if we see the cost of training then making more apis for everything we have makes sense to me.
what do u think?
Between moE, aggressive quantization, and synthetic data pipelines, it’s getting harder to tell whether bigger models are actually better, or just more expensive to train.
Would be more interesting to see -> capability per dollar or per watt, not parameter count...