We live in dangerous times for us humans. Technology is moving so fast, and there is lots of noise, an ocean of noise. Although isolated noise can be good because it generates awareness, diffused noise makes it hard to think clearly. The new generation of Machine Learning tools works so well that the discipline is being pushed into almost every industry. Unfortunately it has also generated misplaced expectations, and is commonly associated with Full / Strong /General Artificial Intelligence. Because of structural reasons, Machine Learning won't lead there. Only a better understanding of the structures of intelligence will allow us to create Thinking Machines. How did we get here, and how do we jump beyond this wall?
Words matter. Associations matter. Otherwise it's just noise.
Noise nɔɪz/ noun: 2. a series or combination of loud, confused sounds.
It is important to use appropriate context, words, and linguistic structures to avoid confusion; Confusion in collaboration leads to ︎↔️ instead of ⏩. The trouble is that the more technology advances, the more difficult it becomes to explain. Because technology affects all civilizations —all of us—, common and correct explanations must be established (Up Goer Five, for instance, is a valid approach. You can try it out here).
