Facebook like many big-data/cloud companies who implore this technology operate and profit from the intelligence of their users. Their algorithms only mine and correlate it. They don't say this because it shows the emperor nor their algorithm has clothes. The algorithm being utilized by companies as of now is one which functions on large data sets, correlation, optimization, and brute force state space traversal w/ incremental combinatorics. It isn't intelligent. It doesn't embody intelligence and they by and large prefer it this way. They prefer this as opposed to Strong AI because strong AI will not have a dependency on big data nor on a significant amount of compute resources .. both of which many of the current tech titans have built their empires upon. Furthermore, several investors have stakes in such ventures and enterprises like Elon Musk. Fearing loss of wealth or having his holdings disrupted, he further convinces the public that Strong AI is dangerous. It is only dangerous in its sheer disruptive power of current tech companies. They know what it is in so much as its potential to disrupt and destroy aspects of their cash cows.
If any regular person was ever privy to the board room conversations as to how this cloud era was born, their stomachs would turn :
> Lease/Renter class
> Re-occurring revenue
> Build it and they will come.. then take all of their data and sell it
None of the algorithms at work in Weak AI are hard to describe. They are rather simple. It's a multi-layered mess because no one stopped to think about the nature of intelligence. What they have, although a convoluted mess works because they have tons of data and compute resources... They eventually realized this dependency was a feature not a flaw : No one can compete against them unless they have the massive data stores and the compute power necessary to wrangle in 70s era approaches. So, they then went on a campaign to make everyone believe no one else could ever compete who isn't an already established player w/ hordes of PhDs, data, and computational equipment. The PhD are elated because their specialized investment in deep learning isn't nullified. The entrenched players are elated because they maintain their monopoly and an antiquated paradigm. The various media outlets are elated because they get to play lip service to the common perception which heralds and lauds established players... No need to do real investigative work or commit resources.. just play the narrative. Having cornered media perception and the industr No one funds anything outside of the Bigdata/cloud centric algorithms because it is declared pointless and a dead end... You have your occasional pioneer who actually wrote seminole papers on these approaches speak out but it gains no traction. Corporations have restructured themselves and keep strategic capital available in case any new rising star pushes their head above water... In more convoluted attempts, people create (Open)AI groups that horde funding resources, compel a potential rising star to give their IP away like an idiot, or reform themselves into a regulator body that presides over someone else's technology (fear this tech.. here, let my Non-profit regulate/audit it).
Bullet proof
Or so they thought....
