GPT: Elon Musk calls for a pause in AI training

GPT: Elon Musk calls for a pause in AI training

Tech personalities such as Elon Musk and Steve Wozniak have joined together in an open letter to call for “a pause” to the training of artificial intelligences for at least “6 months” for all systems that can be more powerful than GPT-4the most popular at present.

The letter has been signed by more than a thousand personalities from the technological world including, among those already mentioned, Jaan Tallinn (co-founder of Skype) and Max Tegmark (MIT).


For this community, the artificial intelligence can generate a profound impact on society, so its development must be accompanied in a responsible and regulated manner.

With GPT-4 being a popular Internet powerhouse, more and more companies such as Google and Amazon are being encouraged to launch their own systems that attempt to be more powerful, albeit with multiple bugs that generate fear in the population.

Therefore, the signatories call for a pause in training so that all the mechanisms of the present day march at a controlled speed and that there are no jolts in the learning of knowledge in intelligences.

“Contemporary AI systems are coming to compete with humans in general tasks, and we must ask: Should we let machines flood our information channels with propaganda and falsehoods? Should we automate all jobs? Should we develop non-human minds that will eventually outnumber, out-intelligence, out-obsolescence, and out-replace us?” it reads.

The goal is to take “a step back to make today’s powerful state-of-the-art systems more accurate, secure, interpretable, transparent, robust, aligned, reliable and loyal.”


For this pause, it is requested that regulatory authorities be created for. intelligence artificial to monitor and keep abreast of their progress.

“Institutions need to be well resourced to cope with the drastic economic and political disruptions (especially to democracy) that AI will cause,” the message refers.

There is also talk of legal regulation in terms of possible harms created by AI, tracking possible data leaks in these models or public funding systems for security research in this field.

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Daniel Chapman