3 ms·
And how did it pick the facts out of these sources and compile it into a conclusion? That is a black box you will simply have to either trust or second guess ev
by jug 4y ago
And how did it pick the facts out of these sources and compile it into a conclusion? That is a black box you will simply have to either trust or second guess everything it replies with. The first choice is naivety and the second choice is arguably a poor product.
A more honest "knowledge engine" would be one that did not draw conclusions but simply replied with the links relevant to your question, letting you judge the quality and draw your own conclusions to not have the engine carry that burden itself.
And then you are back to a traditional search engine again.
- seydor 4y ago> would be one that did not draw conclusions but simply replied with the links relevant Thats neglecting the facts that humans lie and are opaque as well. You never know when a "reputable" person will stop being reputable. How ML vets its sources is going to be the relevant question going forward. While MLs are black boxes, their objectives and measures are not, and the companies should make them transparent. After all, it is only going to increase trust to their systems