1) It’s an example of a domain an LLM can do better than humans. A 2012 system was not able to do myriad other things LLMs can do and thus not qualified as general intelligence.

2) As mentioned in the chart label, earlier systems require manual symptom extraction.

3) An important point well articulated by a cancer genomics faculty member at Harvard:

“….Now, back to today: The newest generation of generative deep learning models (genAI) is different.

For cancer data, the reason these models hold so much potential is exactly the reason why they were not preferred in the first place: they make almost no explicit data assumptions.

These models are excellent at learning whatever implicit distribution from the data they are trained on

Such distributions don’t need to be explainable. Nor do they even need to be specified

When presented with tons of data, these models can just learn, internalize & understand…..”

More here: https://x.com/simocristea/status/1881927022852870372?s=61&t=...