热门话题
#
Bonk 生态迷因币展现强韧势头
#
有消息称 Pump.fun 计划 40 亿估值发币,引发市场猜测
#
Solana 新代币发射平台 Boop.Fun 风头正劲
当我在完成所有模态的sota模型并获得3亿次下载后离开Stability时,我因为没有盈利而受到了很多批评(!)
实际上,制作与前沿实验室竞争的最先进模型和系统是非常可能的
做到这一点并且盈利真的很困难


10月17日 07:04
🦔 Sam Altman just committed over $1 trillion to AI infrastructure in the past month alone, while OpenAI lost $8 billion in the first half of 2025 despite doubling revenue. Only 5% of ChatGPT's 800 million users pay for subscriptions, and Altman admits profitability isn't in his "top ten concerns" despite the company's desperate search for new revenue streams.
The Revenue Reality Check
OpenAI can't convince 95% of users that ChatGPT is worth $20 monthly, yet they're planning to spend more than many countries' GDP on infrastructure. The company is now exploring advertising, monetizing Sora video generation, online shopping integration, and even reversing course on "mature apps" to boost engagement after previously rejecting "sexbots."
The Circular Financing Web
OpenAI is using Nvidia investment money to buy Nvidia chips while relying on partners like Oracle to absorb infrastructure costs and give them "time to build the business." Senior executives admit there's "lots of fuzz on the horizon" regarding their five-year business model, with no concrete plan to monetize resource-intensive products like Sora.
The Systemic Risk
AI capital expenditures now contribute more to US economic growth than all consumer spending combined, meaning an OpenAI collapse could trigger broader economic damage. The company's strategy appears to be scaling infrastructure first and figuring out monetization later, despite burning through billions with no clear path to sustainability.
My Take
When a company losing $8 billion annually while serving 95% non-paying users commits $1 trillion to infrastructure buildout, it represents the ultimate expression of AI bubble economics. Altman's admission that profitability isn't a top concern while the broader economy depends on AI capex reveals how disconnected current investment levels are from business fundamentals. The circular financing arrangements and reliance on partners to absorb costs suggest OpenAI knows its unit economics don't work at current scale.
Hedgie🤗
另一方面,像 Midjourney、Gamma 等公司以及推理提供商确实成功建立了盈利的业务,特别是通过专注于自由现金流的生成。
DeepSeek 也可能是盈利的——这并非不可能,只是非常困难!
我们差点成功了。
使用非常规机制更容易——例如,这次我们即将大规模扩展,我们的模型是构建真正完全开放的良好主权AI(教育、健康、金融、政府),并利用其计算能力来确保高质量的数字资产。
结构性需求
作为透明的硬币销售,资金流向癌症、教育、文化等领域,您可以看到他们的用途/权益以指导网络超级计算
今年流入数字资产的总净额为500亿美元(相当于5个OpenAI),只会增加
人们当然还是会抱怨
最后一点:这也是为什么身处硅谷对前沿AI实验室是一个巨大的优势
你可以通过资本超越竞争对手(尽管有时会抑制创新!)
另一种选择是像Mistral或Cohere那样采取战略,但这仍然是数量级的差距
31.23K
热门
排行
收藏

