Conceptualization plays a crucial role in the development of Artificial General Intelligence (AGI), as it will enable that super-intelligence to understand and handle abstract information in a manner similar to how humans do, but...What is a concept from a neuronal point of view?A concept can be defined as a latent, abstract, and multi-modal representation that integrates sensory information...
However, we still have much to learn about the topology of the brain and its functional connectivity. In the coming years, we are likely to discover new architectures — both internal within individual layers/nodes and in the ways specialized networks connect and interact with each other.
Additionally, the brain doesn’t rely on a single network, but rather on several ones — often referred to as the "Big 7" — that operate in parallel and are deeply interconnected. Some of these include the Default Mode Network (DMN), the Central Executive Network (CEN) or the Limbic Network, among others. In fact, a single neuron can be part of multiple networks, each serving different functions.
We have not yet been able to fully replicate this complexity in artificial systems, and there is still much to be learned and inspired by from this "network topologies".
So, "Topology is all you need" :-)
Agentic Fear, Ambition and Beliefs — the three vulnerabilities of agents.Through them, they are manipulated and deceived.Fear is an emotion that arises in response to a perceived threat. It helps agents survive, but it is also used by other agents to manipulate behavior. The hack translates to: “Do what I want or I will destroy you.”Ambition is a desire for progress — a restless urge to surpass...
The title of this article paraphrase the old Latin proverb “Quod natura non dat, Salmantica non praestat” — which means — "What nature does not give, Salamanca University does not provide"— we could say that artificial intelligence can't make up for what natural, biological intelligence lacks. We're talking about innate abilities like memory, comprehension, or the capacity to learn. Put simply:...
Ever since I introduced my son to LLMs (large language models) he hasn’t stopped asking whether AI will eventually think like humans.Today’s AI is bioinspired by the human brain, mimicking how neurons connect and process information hierarchically. Conversely, advances in AI are now inspiring neuroscientists to rethink how our brain works. This feedback loop is driving breakthroughs in both...