using a posh word like, perturbations, which really means anxiety or uneasiness, or a state of agitation, cannot be attributed to something that is not human (ai) and comes across to me a deceptive.
if you are going to sell this stuff, at least have the common decency and courtesy to use computer language when explaining what your ai can do, and not language that is only fit for humans.
I’m not claiming human reasoning or feelings here. The model generates tokens; “reasoning” only happens in the reader’s head when you interpret the text. EME doesn’t inject any reasoning rules either. It just runs the same model multiple times under small, controlled input transformations (assumption flips, counterfactual constraints, consolidate vs. challenge) and logs the deltas.
What’s useful (when it is useful) is the comparative structure across runs: what stays stable, what flips, and which assumptions look load-bearing.
If you think this is just a diary/log, it’s super easy to test. Paste a real problem you actually care about right now (decision, plan, argument) and see whether the trace adds anything beyond a one-shot answer. Public demo, no login: https://eme.eagma.com
so its a diary
ai cannot reason. it is not human
using a posh word like, perturbations, which really means anxiety or uneasiness, or a state of agitation, cannot be attributed to something that is not human (ai) and comes across to me a deceptive.
if you are going to sell this stuff, at least have the common decency and courtesy to use computer language when explaining what your ai can do, and not language that is only fit for humans.
Thanks for the pushback.
I’m not claiming human reasoning or feelings here. The model generates tokens; “reasoning” only happens in the reader’s head when you interpret the text. EME doesn’t inject any reasoning rules either. It just runs the same model multiple times under small, controlled input transformations (assumption flips, counterfactual constraints, consolidate vs. challenge) and logs the deltas.
What’s useful (when it is useful) is the comparative structure across runs: what stays stable, what flips, and which assumptions look load-bearing.
If you think this is just a diary/log, it’s super easy to test. Paste a real problem you actually care about right now (decision, plan, argument) and see whether the trace adds anything beyond a one-shot answer. Public demo, no login: https://eme.eagma.com