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My understanding of the singularity is when artificial intelligence becomes "more intelligence" than humans. This will be achieved through machine learning where an; algorithm, neural network ? Exponential betters itself.

So from that point on in near future after that we should predict that there will be artificial intelligence capable of answering any question. How to travel the fastest... Blueprints for spacecrafts... Drugs for medicine... Efficiency and advancements that will change the human condition.

The singularity is predicted 2040s or 2030. All be it a couple of years later down to exponential growth in knowledge.

So if what I'm saying is right I should be seeing crazy hype and news coverage as well as advancements but I don't. I don't understand what is wrong with the idea that the AI will be capable of omniscience. So can it ? Is there something preventing it ? I don't see how so logically.

As my philosophy has been that research in all the scientific fields are long and expensive. The prospect of a AI that could perform research at fractional cost and time is the way to go.

I hope to work in a field that works at achieving singularity and so will in turn change the world. With the ideas and discoveries it will have.

And where does "artificial" consciousness come in to play in the singularity

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I quite like your outlook, and without getting into the details of how a "singularity" may be effected which is covered in numerous other questions, or how consciousness and "omniscience" come into play because consciousness and omniscience are not requirements, I will instead direct you to two key philosophers:

  • Phillip K. Dick, for whom the central theme in his famous 1968 book on AI is empathy. (If you haven't read it, I'm not posting a spoiler, but will only say the plot is driven by the concept of Evolutionary Game Theory which was formalized just 5 years later.)

  • John Nash, and in particular, the concept of the Nash Equilibrium. (Nash could be said to have mathematically demonstrated that being a "douchebag" is not an optimal strategy. His proof can be used to explain why nuclear détente actually worked, which was counter to the expectation of Von Neumann.)

So when people go nuts, focusing on the "Skynet" mythos under which machines rise up to destroy us, I have to wonder if they're simply not as smart as Nash or as profound as Dick, which might explain their lack of emphasis on what can be called the "Electric Sheep" paradigm.

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    $\begingroup$ I tottally agree with you. Sometimes I ask what leads us to create new technologies. Do we want absolute powers or actually solve our real problems? That's why I prefer to see through the prism of love. Some might consider it cliche, but thats the way I believe. $\endgroup$ – Karl Zillner Aug 2 '18 at 18:18
  • $\begingroup$ @KarlZillner Continuing down the mythological front, in Stross' Accellerando, he introduces a concept of "Economics 2.0*, defined as a systems in which even augmented humans can no longer compete with pure algorithms, and which appears to be completely pointless. He seems to propose two main pathways--semi-partisan, cooperative AI vs. hyperpartisan AI (who come off as the less intelligent cousins, albeit with highly-optimized low-level acquisition functions that allow them to overwhelm and co-opt the creator infrastructure.) $\endgroup$ – DukeZhou Aug 7 '18 at 19:35
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The question is a good one and on many people's minds. There are a few misconceptions in the line of thought to consider.

  • The supremacy of intelligent beings other than humans threaten civilization — Is the imagining of that threat logical? Is that a rational conclusion when human intelligence is the most threatening biological phenomenon in the biosphere today. The intelligence of insects may be more sustainable. The civilizations of ants and termites are certainly more collaborative. World wars and genocide are one of the primary features of human history.
  • Artificial intelligence becomes more intelligent than humans — Artificial intelligence is already more intelligent than humans in some respects, which is why we use calculators, automated switching of communications signals instead of operators, and automated mail sorters. In other ways, AI has to cross astronomical distances to begin to approximate human intelligence. We have nothing that even shows a hint of being able to simulate or duplicate in the future the human capacities of reasoning, inventiveness, or compassion.
  • The singularity is predicted 2040s — There are over a dozen unrealistic assumptions in those predictions. Look with a critical eye at any one of the arguments behind them and you will fine holes you could fly a 757 through blindfolded.
  • Exponential growth in knowledge — There is an exponential growth in information, but the proportion of that information that is legitimately peer reviewed decreases as misinformation, wild conjecture, and fake news increase. My belief is that the amount of information in the world can be approximated by log(n), where n is the population. If I am on track with that relation, the informational value of the average individual is log(n)/n, which decreases as population grows.
  • AI will be capable of omniscience — Omniscience is more than answering any question. Omniscience would require that the answering be 100% reliable and 100% accurate, which may require more silicon than exists in the universe. Read Gleick's Chaos if you wish to understand why. One might also argue that an omniscient being would not answer questions on command.

If you want a world that is better than one controlled by human intelligence, then one direction to take is to seek the development of a new species with a more advanced conception of peaceful civilization that can tame and domesticate us like we have done with dogs and cats.

The easier route is just for all of us to die. The biosphere may have been more civilized before we arrived and started killing everything and each other. But that's not my hope.

My recommendation is that we study NI (non-intelligence) and discover how to rid what is stupid from human behavior and geopolitical interaction. That would improve the world far more than distracting and substantially irrelevant machine learning gadgets and apps.

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