Why AI isn't intelligent

It's already become accepted hype to speak of AI getting more and more 'intelligent', with ever-increasing computing power and sophisticated 'deep-learning' algorithms, to one day, inevitably, achieve Artificial General Intelligence (AGI). This is a spurious, tendentious claim otherwise known more impolitely as bullshit. Nevertheless it's taken the whole world in, and it is exquisitely monetizable.

It's easy to see why AI isn't intelligent once you have a firm grasp of the distinction between the phenomena three-dimensional time and one-dimensional time. But who today has such a firm grasp? And modern science will fight tooth and nail, with all sorts of self-serving, dogmatic assertions. to make sure that nobody ever understands the distinction.

Here is an analogy that some may find useful: Consider the proof of a theorem in mathematics. The proof can be written out employing the axioms and rules of inference for the specific mathematical entity concerned, be it the natural numbers, real numbers, a group, manifold, topology, or what have you. Anyone (human) reading the proof can go through it step by step to check if the proof holds water. That's fairly easy. 

The proof proceeds sequentially along a line of logical causality driven (from the temporal rear) by the applicable rules of inference. Logical causality is akin to the physical causality evoked by physics and the other modern sciences to explain causally (rather than understand) certain kinds of physical movement, be they physical, chemical, biological, psychological, etc. 

A mathematical proof is cut and dried, and can be checked with relative ease, perhaps even by an algorithm written to perform such a task. But who came up with the more or less ingenious proof in the first place? A mathematician! He or she was hit by a flash of insight that gave inspiration for the proof that could then be written down. The mathematician had the idea (εἶδος) in mind of finding a proof, and her/his power of imagination, looking into the temporal dimension of the future, spontaneously imagined the inferential path to such an envisaged goal, or end (τέλος). By contrast, rules of inference only work from what is already there, i.e. from the steps of the proof already made, with no inspiration, no spontaneous creativity involved.

Today we are expected to swallow that AI, by permutating what is already there (the data, the 'given'), according to rules of inference of a more or less clever algorithm, will eventually attain the intelligence of a mind (i.e. our shared psychic-temporal mind) that is genuinely exposed to the openness of three-dimensional time.

Further reading: 'Algorithmic Control of Movement in Time: Abolishing even our selves ourselves'.

'Turing's cyberworld of timelessly copulating bit-strings'.

On Human Temporality: Recasting Whoness Da Capo De Gruyter 2024.