Another week, another DeepSeek, and another insane valuation for OpenAI

Quick Overview

Chinese AI advancements, exemplified by Moonshot AI's Kimi K2 model costing only $5.6 million to train and ranking second on an intelligence index, are rapidly closing the gap with US tech giants like OpenAI, whose models like GPT-4 and Gemini cost significantly more, leading to questions about the sustainability of massive US spending and the longevity of their AI lead.

Key Points: Moonshot AI's Kimi K2, an open-source reasoning model, cost less than $6 million to train, compared to $78 million for ChatGPT and $191 million for Gemini. Kimi K2 ranks second on the Artificial Analysis' Intelligence Index (as of Nov 2025) with a score of 67, just behind GPT-4 (high) at 70. The rapid progress of Chinese AI labs, which are developing comparable models at a fraction of the cost, is forcing investors to question whether massive US spending will yield better commercial returns. Airbnb CEO Brian Chesky noted that while his company uses some OpenAI models, they rely heavily on Alibaba's Qwen model because it is fast and cheap, and that OpenAI's connective tools aren't quite ready. The cost gap is striking: Kimi K2 cost $4.6 million to train, while OpenAI's next-generation model is expected before Sam Altman's trillion-dollar data center is built. OpenAI recently achieved a $500 billion valuation, which Thomas Wolf of Hugging Face suggested was a rounding error compared to Moonshot's recent $3.3 billion valuation, fueling AI bubble fears.

Context: The video, titled 'Another week, another DeepSeek, and another insane valuation for OpenAI,' discusses the accelerating competition in the Artificial Intelligence (AI) sector, specifically highlighting the performance and cost efficiency of Chinese AI models relative to their US counterparts. Host Kevin Walmsley uses recent news regarding DeepSeek, Moonshot AI's Kimi K2, and OpenAI's valuation to frame a discussion about the shifting technological landscape and investment concerns.

Detailed Analysis

The video asserts that Chinese AI development is making rapid, cost-effective progress, challenging the dominance of US tech giants. A key example is Moonshot AI's Kimi K2 model, which cost under $6 million to train (specifically cited as $4.6 million in a later quote) and achieved the second-highest ranking (67) on the Artificial Analysis' Intelligence Index, trailing only GPT-4 (high) at 70. This rapid improvement, achieved on significantly smaller budgets and without the benefit of advanced US-controlled chips, contrasts sharply with the massive spending by US firms; for instance, OpenAI recently hit a $500 billion valuation, while Moonshot's was $3.3 billion, which co-founder Thomas Wolf called a 'rounding error' next to OpenAI's valuation, increasing fears of an AI bubble. Furthermore, Airbnb CEO Brian Chesky revealed that despite being friends with Sam Altman, Airbnb relies on Alibaba's Qwen model for its AI customer service agent because it is faster and cheaper than OpenAI's latest models, which he deemed not 'quite ready' for integration into their connective tools. This indicates that Chinese AI models are already competitive in commercial applications, raising the fundamental question for US investors: whether their massive spending translates into superior, commercially viable returns.