inspectorSlap

12 ms·

1.
by inspectorSlap 1mo ago
Not a lot that can. LLM proof fonts are spotty at best, I moved my hands up an to the right 3 keys and kept typing and i may as well of changed my font as obfuscated my message. I have an idea about negative space... where the word are mea
2.
by inspectorSlap 1mo ago
First off, everyone here knows that a cybersecurity vulnerability audit is a hack request, and you don't hack without rolling up your sleeves and digging through the trash first, making a few phone calls, maybe take a lonely guy on a d
3.
by inspectorSlap 2mo ago
these can work as long as the evidence is attached (to your point). And in healthcare absolutely must (your EMR example is terrifying). The patient may be allergic to nuts (confidence .84) >> cite: 1) lab value X, PRO Y, ... >&gt
4.
by inspectorSlap 2mo ago
I'm working on a universal one. My belief is that as agentic capabilities increase, behavioral attribution will be increasingly needed to maintain quality.
5.
by inspectorSlap 2mo ago
Agreed. However my research is showing that saturation of the rubric occurs in unique configuration that drive the transfer curve to near binary. Effectively turning a 1-10 rating system into yes/no.
6.
by inspectorSlap 2mo ago
Has anyone actually used Grok to code? How does he do?
7.
by inspectorSlap 2mo ago
This is exactly right. Abstracted out of the process, or to a point of most optimal application.
8.
by inspectorSlap 2mo ago
I find some of the most interesting, and catastrophic failures in my agent fine-tuning come from the clamping down of non-determinism. It is totally the correct approach, but must be handled delicately. The non-deterministic core remains,
9.
by inspectorSlap 2mo ago
I think stochastic parroting is really a very accurate description of what they do (if underserving of the overall usefulness of LLMs). As long as you consider they are parroting from the whole of human intelligence. Its just that as they