Why I'm Feeling the AGI
Artificial general intelligence (A.G.I.) may be achieved by 2026 or 2027, raising concerns about rapid advancements, economic implications, and the need for proactive measures to address associated risks and benefits.
Read original articleArtificial intelligence (A.I.) is rapidly advancing, with predictions that artificial general intelligence (A.G.I.) could be achieved as early as 2026 or 2027. Experts in the field, including executives from leading A.I. companies, express concern about the pace of development and the implications of A.G.I., which is defined as A.I. capable of performing nearly all cognitive tasks that humans can do. The economic and political ramifications of A.G.I. are significant, with potential for trillions of dollars in value creation and shifts in global power dynamics. Despite the advancements, many institutions and individuals remain unprepared for the challenges and opportunities presented by these technologies. The article emphasizes the need for proactive measures to address the risks associated with A.I. and to harness its benefits. Improvements in A.I. capabilities are evident, with current models outperforming earlier versions in various tasks, including complex problem-solving and coding. The author argues that whether one views A.G.I. as a positive or negative development, it is crucial to start preparing for its arrival now, as the consequences of inaction could be profound.
- A.G.I. could be achieved within the next few years, with significant implications for society.
- Many experts in A.I. express concern about the rapid advancements and their potential risks.
- Current A.I. models are improving quickly, outperforming previous versions in various tasks.
- There is a lack of preparedness among institutions and individuals for the challenges posed by A.I.
- Proactive measures are necessary to address the risks and benefits of A.I. technologies.
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Do people really believe if there is someone out there smarter or more reaourceful that society has monopoly control over what they do? There was never any monopoly on human intelligence.
Information Asymmetry or Knowledge Gaps are not new problems.
Nature is full of it. And there is no over night constant collapse happening because of it.
(Sorry I work in a ML+Bio lab in the US and I'm depressed and angry)
pfft engineers are too one dimensional and fixatated on the micro to have anything worthwhile to say about the macro. Most importantly they don't study people. And therefore are completly clueless about how people will react, especially the ones in power will react to what they build.
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