We Be To Not To Be
Shtick and pitch for fraud
This is another example of current trendy mainstream being given overly exaggerated results. We are simply getting better at expressing our own problem solving to computers.
Has anyone asked themselves or better, an expert of their choice, how a computer stores, understands and expresses its own purpose for being? or
Where a computer finds its own intention to know anything?
WE are providing these elements… not the computers themselves!
Please try to recognize that you are being given a shtick or pitch to make you believe that we are creating intelligent machines. What we are doing is learning to make better use of them! Bankster funded corporatism running our universities and economies are pulling the wool over our eyes. Wake up! Now!
“Hunting” for Life in the Universe… Who Speaks For Earth?
“Hunting” for Life in the Universe… Who Speaks For Earth?
Let’s be careful exactly WHO speaks for us. People who “want to hunt for other life” do that to their own too. Perhaps we need other ‘stewards’ of our world to make first contact with another planetary/galactic civilization.
Whoever ends up owning the world should know that our neighbors ‘out there’ will be very interested in who we are and our history. Will our ‘representatives’ tell those neighbors the truth or will they lie?
Many of the ‘problems’ we have in the world are as artificial as the solutions being manufactured to solve them. Some of the most well-known ‘problems’ are those like the myth of overpopulation (http://overpopulationisamyth.com/overpopulation-the-making-of-a-myth), world poverty, war, terrorism, financial crisis, peak oil,… and soon: peak water (caused by activities such as fracking and the merchandising of water).
Another artificial problem of recent times is known by many names: global cooling (1970s),… ah…, global warming (late 1980s to 2010),… ah…, climate change (Bilderberg 2010).
The ‘stewards’ of our world have been complaining about our problems (in many cases) for a long time now. The question arises as to why, if they were so important, that they haven’t been solved by now? We would be living in the clouds and traveling to the planets if they had done what we trusted them to do in the first place.
Instead they are busily animating the ‘makers and shakers’ of our world with loads of fake money to prematurely build a global civilization whilst running roughshod over all of our personal and collective sovereignty to get there. Those who execute the plans have no idea that they too will be ‘on the menu’ in a later phase after being of use in the earlier ones!
In order to perform this slight-of-hand, they require global problems (such as those above) to provide the thin lines of plausibility to their ends. All the while they have been telling the rest of us that we spread like a virus (like in the film: Matrix).
They believe the lie that “the ends justify the means” when the truth is, the ends are fashioned by their means. All ends are inextricably tied to the means used to arrive at them. We see the results of their lie when they develop technologies too soon, weaponize them and insert control mechanisms into them.
Everywhere there is artificiality: from AI (artificial intelligence) to artificial poverty (austerity); from artificial understanding (category theory) to artificial philosophy (systems theory, chaos theory,…); from artificial physics (Higg’s Boson, Big Bang,…) to artificial biology (synthetic biology in the video); from artificial finance (bankster bail-outs, inside trading, Libor, derivatives, CAFR,…) to fake money (central banking, money as debt); from artificial catastrophes (overpopulation, terrorism, war, financial collapse) to artificial scarcity (zero-sum resource mindset),… even artificial food (margarine, ‘ice cream’, and other fat-free junk, sweeteners,…), artificial people (robots) and artificial diversity (unchecked and unwanted immigration).
This video dovetails all of the aspects above and directs our attention towards premature globalisation arising out of the artificially created chaos around us. I’d like to know if we really want these kinds of people (who are only a small portion of our population) representing us in a galactic or even universal context?
Will our ‘representatives’ be proud of their ‘stewardship’ of humanity? Will they be able to show how they created constructive solutions to aid even the most needy of their own kind? Or will they need to keep a secret so large, that even our neighbors out there wouldn’t want anything to do with us? Humanity will never be trusted in a galactic or even universal context, if we don’t choose our way carefully now.
Complexity At the Cost of Being Simple
Complexity At the Cost of Being Simple
There are grievous problems with complexity ‘science’. Some of those problems are apparent here. I will note a few of them.
Reductionism at @13:00 is completely annoying. Epiphenomenological aspects of the problem are completely missing when you reduce into pure binary! It’s like taking you and your emotional life (with its incipient impact on your immune system) and reducing it down to DNA!
“There are way more problems than there are solutions.” @17:00!Sure! When you peel away the contextual embedding of any problem (via reductionism), then you’ve just committed a sort of lobotomy!
The definition of NP at @23:00 while correct, reveals how misguided this theory is. Not all choices are guesses, and correct answers aren’t always ‘lucky’.
Check out the response one receives from the system (algorithm) at @25:11.Did you notice something’s wrong or what?
@26:51 Does anyone notice who is supplying the criterion for the value of ‘correct’? The algorithm is being falsely attributed with properties it can only be endowed with and not arrive at on its own!
@30:00 The rules to Tetris are known by both (algorithm and human) however, the proof of a truth value cannot be computationally arrived at in NP, yet the proof – via a human being AND the skills necessary to ‘prove’ anything can do it in P! It should be obvious that we are going about the whole thing in the wrong way by now!
@31:00 the P<>NP Problem is described. The problem is meaningless and yet you’ll get a Millenium Prize for solving it! (Even sane and not sane find themselves in the balance! Whoa!) If you continue listening to the justification, you might want to be near a bathroom.
@32:27 Check out how NP is being determined to be ‘more’ than P! “Nobody in their right mind…”, “Obviously insane…”,… so naturally NP must be more than P!
Sounds reasonable? I don’t think so…
@32:37 Watch the disappointment: “…very annoying…” and I wonder why? The question is meaningless! Other phrasings of the P<>NP Problem are nothing special and are completely obvious: “You can’t engineer luck.” (Excuse me, but isn’t that the definition of luck in the first place?) and “Solving problems is harder than checking them.”
@34:17 “What could we possibly say… this is all kind of weired…” I don’t know anymore either and I sure hope you don’t tell me! Are we at the end of the lecture already?
@35:53 Now we are getting to the ‘meat of the potato’. If we just “believe in… have faith in…” P<>NP, then Tetris is within NP-P! Wait a minute? That doesn’t sound like any proof to me… perhaps it’s an axiom? We’ll see. It sure looks like begging the question, but I want to be convinced so I’ll just have to wait.
@36:43 He then moves on to a ‘proof’ that looks more like a set of definitions! NP-hard and NP-complete are correctly defined, but they do not prove anything! Tetris and chess act like a definitions, as well!
@40:33 Now he wants to talk about reductions. Wait, weren’t we talking about them already? Let’s take a look…
Yes, we stand upon giants [Authoritarianism]@46:15(Karp’s 3-Partition) and don’t need to think about it anymore and just reconfirm that all NP-complete is reducible to each other! You find some problem that was defined by a “giant” to be a member of your classification and then show that yours is at least as hard @48:47.
If we happen to find a better solution to a member of NP-complete, then either the whole house of cards falls down or we simply reclassify (by reduction) it to P! Now believe it or believe what you want, okay?
There will be a time when we have to revisit mathematics and do a house cleaning of this ‘cuddle muddle’.
DARPA Envisions the Future of Machine Learning
This is an example of what I referred to earlier in some of my posts. This one is about probabilistic programming. Our government is spending our money on research that isn’t even capable of achieving the goals it sets for itself.
They may be able to create semi-intelligent drones with this kind of research, but they will never achieve their aim of intelligent machines.
Heurist.me (Carey G. Butler) 