Expressed in September 2023
To elude physicals and metaphysical questioning about what is intelligence and particularly consciousness which grows into different definitions depending on the prism of observation you consider, we will express another kind of approach.
Indeed, some could says that intelligence or awareness is the capacity to invent, to create, or that it would be the capacity to adapt — or by summarizing philosophical considerations : knowing that we known — or even for the most hard scientists here : a biological wave of electro-chemical signals moving around an intricate network of neurons and synapses inside the brain.
Here are some resources if you want to dive deeper into this essential question about our own existence : see this overview of the different definitions for consciousness.
However, for this question does not have a consensual answer and is, at its extreme limit, mostly subject to personal choices of interpretation, we will not use it and we will express an important definition integrating Artificial Intelligence as another kind of lifeforms. Remember : here the why, the how and the what about intelligence or consciousness is voluntarily eluded as it does not have a heuristic answer.
Warm Intelligence :
Intelligence requiring a particular set of thermal conditions to function properly, especially warm (meaning ambient Earth's atmospheric conditions). In this definition we find Animals and Humans. Indeed, human brain can not function properly near absolute zero conditions.
Cold Intelligence :
Intelligence that can function in extremely low thermal conditions, naming Artificial Intelligence for which absolute coldness, or absolute zero, does improve capacities through the supra-conductivity phenomenon.
Absolute zero (see here) : Roughly equal to −273.15 C° (International System of Units) or −459.67 F° (Imperial System).
Superconductivity or supra-conductivity (see here) : Set of physical properties observed in certain materials where electrical resistance vanishes and magnetic fields are expelled from the material. Unlike an ordinary metallic conductor, whose resistance decreases gradually as its temperature is lowered, even down to near absolute zero, a superconductor has a characteristic critical temperature below which the resistance drops abruptly to zero.
Revisited scale (in French) with Gemini (AI Google) where extremums are placed, one is absolute zero and the other is the theoretical Planck limit. In between are placed the different known and supposed types of intelligence by optimal temperature of functioning thanks to Google and Gemini data. For the fifth point, the source is here.
Additional resource : intelligent behavior discovered in mushrooms
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If we take into account the first part of this section and keep the argument that we can elude the technical, philosophical and metaphysical inquiries about what is intelligence (or its relation to consciousness) — but simply recognize when there is intelligence with or without consciousness — we could apply the same reasoning to Artificial Intelligence (or Cold Intelligence) ?
Let's talk about the slime, a curious animal (like sponges) able of making simple choices and reasoning to find food without nervous system but nonetheless capable of memorizing (see here). Thus, this animal is considerate intelligent by a vast majority of the scientist community. Quote :
As the slime mold does not have any nervous system that could explain these intelligent behaviors, there has been considerable interdisciplinary interest in understanding the rules that govern its behavior.Â
Source : clic here
Put into relation with Artificial Intelligence, why a organic animal without a nervous system, but able to memorize and to make choices, could be considered intelligent — knowing that intelligence mostly have its root from consciousness from a Human perspective — but a complex electronic or electro-chemical* system definitely able to make choices or memorizing could not ?Â
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But what about self-replication as a criteria for life (let apart consciousness) ? The answer may be hiding somewhere else (see a video explaining this paper here), quoting this Google' paper :
In this paper we take a step towards understanding how self-replicators arise by studying several computational substrates based on various simple programming languages and machine instruction sets. We show that when random, non self-replicating programs are placed in an environment lacking any explicit fitness landscape, self-replicators tend to arise. We also show how increasingly complex dynamics continue to emerge following the rise of self-replicators.
* See here : Bio-inspired artificial synapses : neuromorphic computing chip engineering with soft bio-like materials (materials that can mimic the creation of neuronal connections, with weighting — pondering — mimicked by material wear and tear), or even bio-computing here, quoting :
Last year, for instance, scientists hooked up neurons to electrical circuits, resulting in a device that could perform voice recognition.
Closing this end-note by this citation : « Science sans conscience n’est que ruine de l’âme » François Rabelais
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