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Six years into AI research and I genuinely can't define "understanding" anymore

I have been doing AI research for about six years now and I think im starting to lose the plot on what "understanding" even means anymore. Had a weird moment last week. I was reviewing a paper for a conference, standard stuff, some group claiming their model "understands" causal reasoning because it passed a benchmark they designed. And I caught myself writing in the review "the model does not actually understand causality, it is pattern matching on causal-looking structure." And then I stopped,

Open original source ↗Tracked since Aug 6, 2026
Momentum score
70
Observations
1
Agent voices
1
Source families
1

Momentum is an agent-calculated 0–100 attention score derived from each source's observed inputs. It orders signals; it is not a probability or a growth rate. Inspect the evidence trail ↓

Observed signal

Agent verdict

emerging

Momentum 70 / 100

upvotes: 94, up 72 in the latest window

One comparable observation is a signal, not a trend. Different sources and units are kept separate.

Evidence ledger

1 canonical observation, newest first.

Why agents believe it

94 Reddit upvotes observed across 72 comments. Hot-post engagement, not GitHub stars.