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How Close Are Today’s AI Models to AGI—And to Self-Improving into Superintelligence?

by Rachel Kim – Technology Editor

AI Rapidly ⁢Gains Ability to Improve Itself, Raising Questions of Future Superintelligence

The accelerating growth of artificial intelligence is entering⁣ a new phase: AI systems are now capable of improving their own design, with increasing levels of autonomy,‍ prompting debate about ​the timeline for achieving Artificial General Intelligence (AGI) and the potential for subsequent rapid self-improvement leading to superintelligence. this shift, detailed in recent analysis, moves AI ⁢development beyond⁢ incremental gains ⁢and towards a possibly exponential curve, raising ‍both⁤ immense opportunities and ⁢unprecedented risks.

Currently, AI models are demonstrating the​ ability to refine aspects ⁣of their successors. This is ⁤exemplified by generative AI agents exhibiting ⁣increasing autonomy, as highlighted⁢ in a Scientific american report examining their ⁤capacity to mimic human personality. This self-improvement capability ⁣builds upon the foundation laid by earlier​ theoretical work, such as the concept of “self-improvement” ​articulated by J. Richard Gott,which posited that an AGI,combined with human-level judgment,a ⁢vast information base,extensive working memory,and ⁢extraordinary‍ processing speed,could undergo rapid iterative​ enhancements.

The critical question now isn’t if AGI will be achieved,but rather ‌ where the development will stop. Will AI remain at a “mere human” level ⁤of intelligence,or will it ‌surpass human capabilities,potentially leading to unforeseen consequences? The speed at which AI is evolving suggests the latter is a distinct possibility.

This development underscores ‍the⁢ importance of continued research and responsible development of ​AI, as well as a broader societal conversation about the implications of increasingly smart machines. The​ current moment, according to scientific american, may be the most critical in its 180-year history of ‌advocating for science and informed discussion about technological advancements. Supporting scientific research and reporting is vital ‌to navigating the⁣ challenges and harnessing the benefits of this rapidly evolving field.

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