ChatGPT

GPT-5 could soon change the world in one incredible way

GPT-4 may have only just launched, but people are already excited about the next version of the artificial intelligence (AI) chatbot technology. Now, a new claim has been made that GPT-5 will complete its training this year, and could bring a major AI revolution with it.

The assertion comes from developer Siqi Chen on Twitter, who stated: “I have been told that GPT-5 is scheduled to complete training this December and that OpenAI expects it to achieve AGI.”

AGI is the concept of “artificial general intelligence,” which refers to an AI’s ability to comprehend and learn any task or idea that humans can wrap their heads around. In other words, an AI that has achieved AGI could be indistinguishable from a human in its capabilities.

That makes Chen’s claim pretty explosive, considering all the possibilities AGI might enable. At the positive end of the spectrum, it could massively increase the productivity of various AI-enabled processes, speeding things up for humans and eliminating monotonous drudgery and tedious work.

At the same time, bestowing an AI with that much power could have unintended consequences — ones that we simply haven’t thought of yet. It doesn’t mean the robot apocalypse is imminent, but it certainly raises a lot of questions about what the negative effects of AGI could be.

And as for the timing, this is the first time we’ve heard that next level of progress, though based on the other clues OpenAI has offered, it’s not far fetched. The organization has officially predicted that GPT-4.5, the step up from the current GPT-4, will be “introduced in September or October 2023 as an intermediate version between GPT-4 and the upcoming GPT-5.”

Source

Mots-clés : cybersécurité, sécurité informatique, protection des données, menaces cybernétiques, veille cyber, analyse de vulnérabilités, sécurité des réseaux, cyberattaques, conformité RGPD, NIS2, DORA, PCIDSS, DEVSECOPS, eSANTE, intelligence artificielle, IA en cybersécurité, apprentissage automatique, deep learning, algorithmes de sécurité, détection des anomalies, systèmes intelligents, automatisation de la sécurité, IA pour la prévention des cyberattaques.

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