在近期接受《纽约时报》记者Ezra Klein的播客访谈中， Anthropic公司的首席执行官Amodei透露，领先的人工智能模型的开发成本将迅速攀升。Amodei在讨论人工智能的未来发展时指出，大型语言模型的训练成本预计将在未来几年内急剧增加。
据他估计，当前构建这样的模型大约需要1亿美元，这个数字有时会上升到2亿至3亿美元的范围。然而，随着技术的推进，目前正在进行的以及计划在今年晚些时候或2023年初发布的模型，其成本预计将接近10亿美元的门槛。Amodei进一步预测，到2025年和2026年，这个数字可能会上升到50亿至100亿美元的惊人水平。
这一预测凸显了人工智能领域的资金需求正以前所未有的速度增长，同时也预示着只有少数拥有雄厚财力的公司才能承担如此高昂的研发成本。随着人工智能技术的进步，行业竞争的焦点不仅在于创新，更在于财务实力和可持续的研发投入。这也将可能对未来的市场格局和人工智能的普及产生深远影响。来源：The Decoder。
英语如下：
**News Title:** “Anthropic CEO Warns: AI Model Training Costs Could Skyrocket to $10 Billion”
**Keywords:** Rising AI costs, Anthropic prediction, billion-dollar models
**News Content:**
In a recent podcast interview with The New York Times journalist Ezra Klein, Anthropic’s CEO, Amodei, revealed that the development costs for leading AI models are set to soar. During the conversation about the future of AI, Amodei pointed out that the expenses associated with training large language models are expected to rise sharply in the coming years.
He estimates that building such models currently costs around $100 million, with this figure sometimes reaching $200 to $300 million. However, as technology progresses, the models currently in development and scheduled for release later this year or early 2023 are anticipated to approach the $1 billion threshold. Amodei forecasts that by 2025 and 2026, these costs could escalate to staggering amounts between $50 billion and $100 billion.
This projection underscores the rapidly increasing financial demands in the AI sector and suggests that only a select few well-funded companies will be able to shoulder the immense research and development costs. As AI technology advances, the competitive landscape will not only center on innovation but also on financial prowess and sustained investment in R&D. This is likely to have profound implications for the future market dynamics and the普及 of AI. _Source: The Decoder._
【来源】https://the-decoder.com/anthropic-ceo-believes-leading-ai-models-will-soon-cost-up-to-ten-billion-dollars/
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