Ask HN: How to measure how much data one can effectively process or understand?
Is there a scale of how much data one can effectively process, something similar to the "Kardashev scale for data"? What would be a name for such a thing? During Memgraph's Community Call (https://youtu.be/ygr8yvIouZk?t=1307), the point is that AgenticRuntimes + GraphRAG moves you up on the "Kardashev scale for data" because you suddenly can get much more insight from any dataset, and everyone can use it (a large corporation does not control it). I found something similar under https://adamdrake.com/from-enterprise-decentralization-to-tokenization-and-beyond.html#productize, but the definition/example looks very narrow. Here are clickable links: https://youtu.be/ygr8yvIouZk?t=1307, https://adamdrake.com/from-enterprise-decentralization-to-to... The limiting factor would be the density of information in the source material, followed my the cognitive impedance match of the receiver. Fir example, a correct grand unified theory isn't useful if you don't know the physics to understand it. I would measure data by time to action. If you're not actioning data it's worthless.