Totally agree with the content of the article. In part, AI is certainly able to simulate very well the behavior and operations of a "way of expressing itself" of our mind, that is, mathematical calculation, deductive reasoning and other similar things.
But our mind is extremely polymorphic and these operations represent only one side of a much more complex and difficult to explain whole. Even Alan Turing, in his writings on the possibility of building a mechanical intelligence, realized that it was impossible for a machine to completely imitate a human being: for this to be possible, the machine would have to "walk among other humans, scaring all the citizens of a small town" (Turing says more or less like this).
Therefore, he realized many years ago that he had to face this problem with a very cautious and limited approach, limiting the imitative capabilities of the machine to those human activities in which calculation, probability and arithmetic are main, such as playing chess, learning languages and mathematical calculation.
Really interesting reflection on small languages, the relationship between simplicity and expressiveness. Also interesting is the broadening of the theme with the beautiful final quotations of a philosophical nature as well, about the importance of the habits of those who like to enclose themselves and build their own little world that does not exclude the real world, since it depends, for them, on their own little world.
Very interesting. I really enjoyed reading how you handled scalable routing with geo-localised prefixes and with the distance between addresses for packets within the same country code.
Really interesting project. I love the combination of LLM with a 90s aesthetic. Great that it works with a really simple configuration and runs offline
The role of dopamine in superimposing new positive experiences on past fear-related memories is interesting. I am curious to see the possible effects on therapeutic treatments.
Very interesting. The integration videos are great to start right away and try out the new features. The extensions of the deep reasoning capabilities are also incredible.
I think we are coming to a new automated technology ecosystem where LLMs will orchestrate many different parts of software with each other, speeding up the launch, evolution and monitoring of products.
Really interesting and I agree with everything. With my team we always try to improve our programming skills without AI, even though we all recognize its great utility.
Today every type of problem and every type of solution seems to have to be solved with AI, when there are more creative, original and artisanal ways to solve them (even if, sometimes, they need more time and patience)
A huge problem. I think AI-based customer service is more negative than positive in general. In my opinion in this way we first of all entrust an operation that needs to be timely and above all empathetic to AI; secondly, although it is faster to train a model to become a very good customer assistant, thereafter a continuous human intervention of monitoring, improvement and error correction is required. So in the end, in addition to not having a customer assistant capable of “being close” to the customer and understanding the finer nuances of a customer's request, this approach leads to inefficiency and slowdowns in the medium to long term.
