Nowadays, all we talk about is artificial intelligence. Technologies that until a few years ago were science fiction for many are now available to everyone: all you need is a PC and a stable connection. These interventions to make AI increasingly usable, on the one hand, have directed the development on natural language processing and multimodal functions: both functions to make as many people as possible interact. On the other hand, all the people who use AI contribute their personal data and their activities to constantly improve the models.
So we have development on models aimed at as many users as possible (not only technologies for scientific, productive and military use) and that, in some way, they adapt more and more to users themselves. And this is not surprising, since today almost all sectors are increasingly oriented towards personalization. In other words, we are increasingly guided by user preferences and sometimes directly by their proposals.
From this perspective and based on the latest news, let's design the future of artificial intelligence.
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From ChatGPT-5 to AGI: The Foundation of AI Beyond
OpenAI is one of the AI companies most popular in the world. The next version of its very famous model, CatGPT-5, is one of the most anticipated novelties in the digital landscape. Initially The release was scheduled for late 2024, but this date was denied by OpenAI CEO in person: Sam Altman.
On the same occasion, there was the opportunity to deepen and modulate the expectations in this regard. The model should have greater contextual understanding, faster response times and improve the handling of complex and multimodal inputs, such as text, images, audio and video. Most importantly, though, ChatGPT-5 should mark a significant step forward towards artificial general intelligence aka AGI.
AGI is one of the most exciting and worrying developments that concern artificial intelligence. We are in fact talking about an AI with more advanced reasoning capabilities and greater efficiency in the decision-making process. In essence, an AI capable of reasoning and learning like a human being. AGI, along with other technologies and developments we are about to see, is the foundation of AI Beyond: the future ofartificial intelligence.
The prospects of AI Beyond
The goal behind the macro approach called AI Beyond is to further innovate human-machine interaction.
Beyond the AGI, which is a fundamental pillar of AI Beyond still far from being realized, we find the multimodal models, capable of understand and processand simultaneously different types of data such as text, images, audio e video. Advanced multimodal models will be crucial to improve research and learning, but they can also be applied in specific fields such as medical diagnostics, where radiological images and medical records can be integrated for assistance. And this opens up another daydream: the integration between AI and biotechnology.
Even if it seems like fantasy, we can already imagine brain-computer interfaces and devices that read biological signals. Think of the possibilities this could bring in the treatment of disabilities and, further, in the world of medicine and in the care circuits.
Another promising innovation is the step-by-step reasoning. This allows models to break down complex problems into logical steps. This approach, inspired by human reasoning such as neural networks are inspired by the brain, increases the reliability of the results and opens the way to solving advanced mathematical and scientific challenges. In essence, it further opens the doors to AGI.
Decentralized AI
In parallel (and here we return to the user issues anticipated in the introduction) Growing Attention to Explainable and Ethical AI. Several actors, such as DuckDuckGo, aim to make decision-making processes that use user data and activities transparent. But also the training processes, with the aim of providing clear tools built on users for users.
In light of this increasing personalization, we may see the growth of Decentralized AI. Decentralization that is becoming increasingly known on a broad spectrum and that could become an emblematic revolution of the web. A 3.0 web which relies on blockchain, self-organized communities, Social e E-commerce decentralized… and of course transparent, functional and more democratic AI models.
