AI BriefingBy 2029, Mythos-class models will spread across the world
Key point
The improvement in AI model intelligence follows the law of diminishing marginal returns, and high-performance models that reach a certain level will gradually become universal.
Details
The latest AI model, Fable 5, does not show a dramatic change in its ability to answer everyday questions compared to its predecessor, Opus 4.7. This suggests that the law of diminishing marginal returns also applies to improvements in intelligence.
The same holds true in corporate environments. Tasks vary in difficulty, ranging from simple data entry to legal work and software engineering that require highly specialized knowledge. Fable 5 is innovative in the field of high-difficulty software engineering, but it may not make much difference in improving efficiency for everyday tasks.
Ultimately, once a model's intelligence surpasses a certain level, there emerges a range in which improvements in model performance are not noticeably felt in general tasks, aside from specific specialized fields. Amid this trend, the performance gap between high-performance models is expected to gradually narrow, and the technology is likely to spread.
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