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Odaily News Alex Svanevik, CEO of on-chain analytics platform Nansen, stated that when enterprises begin effectively using Chinese large language models, the bubble in the AI industry may burst. While the U.S. regulatory environment could limit this process, the overall trend remains that Chinese models are continuously becoming more efficient, capable of running on non-cutting-edge hardware, while global GPU supply (including non-Nvidia chips) is increasing.Alex Svanevik also pointed out that the recent decline in H100 and H200 GPU rental prices reflects a shift in the supply-demand structure of computing power. He raised the question of how to interpret the market signal of declining GPU rental prices. As model efficiency improves alongside expanding computing power supply, the AI infrastructure market may be entering a phase of repricing.
Alex Svanevik, CEO of on-chain data analytics platform Nansen, posted on X stating that from a hindsight perspective, if Binance founder CZ had completed the acquisition of FTX back then, his potential asset structure would have changed significantly. He would now likely hold an indirect exposure of approximately 8% stake in Anthropic, about 5% stake in the AI coding tool Cursor, as well as some investment interests related to SpaceX.It is reported that in November 2022, CZ had disclosed his intention to acquire FTX but later abandoned the plan after due diligence uncovered issues beyond his control. Subsequently, FTX filed for bankruptcy protection.
Nansen CEO Alex Svanevik stated that open-weights models may pose greater competitive pressure on Anthropic and OpenAI in the future, because not all tasks require a "150 IQ level" frontier model. In many scenarios, a model with around 115 IQ but costing about 90% less is "fully sufficient," offering a clear cost-performance advantage. Since the AI industry has generally believed that profits would come from the most advanced frontier models, this logic may now face challenges, especially if governments impose restrictions or block access to frontier models, potentially impacting the revenue expectations of related companies.Alex Svanevik further questioned whether the business model of relying on high-end models for profitability remains viable when regulations begin to limit the capabilities or deployment of frontier models, calling it a core issue that the industry needs to reassess.