Artificial Intelligence and Web3 Narratives Unsettlingly Similar
This article looks at how current expectations around artificial intelligence (AI) and web3 have created an atmosphere of unease due to their similarity in narrative structure despite lacking real data behind them. It suggests taking a more measured approach when considering these technologies going forward as there could potentially be significant ethical issues at stake if they do not meet expectations set out by proponents over the next few years.
Jan. 12, 2023 2:10AM
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A person looking worried while holding a globe with an AI symbol on it
The current climate in artificial intelligence (AI) has so many parallels to 2021 web3 that it is making many people uncomfortable. The issue lies in the fact that narratives based on zero data are being accepted as self-evident, and everyone is expecting a “civilization-altering” impact with 100x returns on investment within the next two to three years. It seems that those who are driving these expectations have not taken into account the potential risks of such lofty predictions. In reality, AI has yet to make any major breakthroughs or deliver significant value in terms of practical applications. There are also serious concerns about the potential for AI to be used for malicious purposes, such as surveillance or manipulation of public opinion. At this point, it is difficult to tell whether these expectations will be met or if they will prove to be overly optimistic. It is possible that some progress may be made in the short term, but it is unlikely that there will be any major breakthroughs within the next few years. Furthermore, there are still significant ethical issues surrounding AI technology which need to be addressed before any meaningful progress can be made. The truth is that no one really knows what will happen with AI and web3 over the next few years, and this uncertainty can create an atmosphere of anxiety and unease for those who are involved in either field. It would behoove us all to take a more measured approach when considering these technologies and their potential implications for our society going forward. Otherwise we risk setting ourselves up for disappointment should our expectations fail to materialize into tangible results down the line.