""AGI is such a funny term," Amodei told CNBC in a recent interview. "Many years ago, it was kind of a useful concept to say, 'When will artificial intelligence be as capable as a human?'""
""By some definitions of that, we've already surpassed that," Amodei said, pointing to areas like software development, where Anthropic's Claude model can now write code at a level comparable to many professional engineers, including some inside the company."
""Claude still can't do a lot of things that humans can do," she said."
""I think maybe the construct itself is now wrong - or maybe not wrong, but just outdated," she said."
The label AGI is becoming less useful because AI achieves human-level or better performance in some domains while failing in others. Models now produce software code at professional levels in certain contexts, yet they still cannot perform many tasks humans handle easily. This uneven capability profile undermines a single, universal benchmark for intelligence. Large investments continue in more powerful models and the infrastructure to run them. An obsession with whether systems qualify as AGI can obscure immediate business value, domain-specific strengths and weaknesses, deployment trade-offs, and practical safety and governance concerns.
Read at Business Insider
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