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Bonk 生態迷因幣展現強韌勢頭
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有消息稱 Pump.fun 計劃 40 億估值發幣,引發市場猜測
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Solana 新代幣發射平臺 Boop.Fun 風頭正勁
當我在穩定性公司離開後,做了所有模態的最先進模型並獲得了 3 億次下載,我因為沒有盈利而受到很多批評 (!)
其實,製作最先進的模型和系統以與前沿實驗室競爭是非常可能的
這真的很難做到並且還能盈利


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確實成功建立了盈利的業務,特別是專注於自由現金流的產生。
DeepSeek 也可能是盈利的——這並非不可能,只是非常困難!
我們差點成功。
使用非傳統機制會更容易——例如這次我們即將大規模擴展,我們的模型是建立真正完全開放的良好主權AI(教育、健康、金融、政府),並利用這些計算來確保高品質的數位資產。
結構性需求
這幣的銷售透明地流向癌症、教育、文化等集群,並且你可以看到他們所做的/所持有的以指導網絡超級計算
今年流入數字資產的總淨額為500億美元(相當於5個OpenAI),只會上升
人們仍然會抱怨,當然
最後的說明:這也是為什麼身處矽谷對於前沿的 AI 實驗室來說是一個巨大的優勢
你可以用資本超越競爭對手(雖然有時會抑制創新!)
另一種選擇是像 Mistral 或 Cohere 一樣採取戰略,但這仍然是數量級的差距
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