Software engineer on the real state of AI agents (they're not there yet)
SMRTR summary
AI agents' full autonomy by 2025 is limited by math constraints, token costs, and integration challenges, suggesting specialized tools with AI capabilities and human oversight will be most effective for real-world applications.
SMRTR provides this summary for quick context. The original article belongs to TechSpot.
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