Self-Hosting & The Future of AI
热度趋势
趋势数据积累中
百分比基于当前可用热度信号，而非评论数或独立用户人数。
Claude 相关模型动态已经出现，适合跟踪能力变化、生态影响和后续可用性。
大型语言模型（LLMs）的成本高昂，重度用户每年可能花费数千美元，尽管存在一些免费使用计划。目前人工智能工具的使用得到了行业的巨额补贴，例如OpenAI和Anthropic在2024年遭受了巨额亏损，而Perplexity将其收入的164%用于AWS和其他AI提供商。这种财务压力表明AI领域正处于一场“绝望的生存竞赛”中，预示着自托管可能是未来的解决方案，尽管目前尚未完全可行。
LLMs are expensive. It may seem at first that paying $20 a month is a relatively cheap price for the value proposition, but this compounds to $240 per year. Heavy users who require more sophisticated or more integrative tools may pay as much as $200 a month, compounding to $2,400 a year. Yet, most providers offer free use plans, which, limited as they may be, preserve some of the equality required by this tool.
Yet, our use of these tools is still very heavily subsidized by the industry, OpenAI lost $5B in 2024, Anthropic $5.3B, Perplexity spends 164% of their revenue on AWS, Anthropic, and OpenAI. This is a desperate race for survival. But there may be a better way, and self-hosting may be the future of AI, just not yet.
Read more on my newest substack post:
https://pedrorodriguesribeirophd.substack.com/p/self-hosting-and-the-future-of-ai?r=9040kf&utm_campaign=post&utm_medium=web