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DeepSeek R1 stand out is its efficiency—it matches or surpasses the performance of leading models like those from OpenAI, but it was built on a modest $6 million budget and uses significantly fewer GPUs. While this breakthrough is a huge leap for AI, it has rattled the market for AI-related crypto assets as investors reassess the value of tokens tied to GPU-intensive operations. Render (RNDR), Near Protocol (NEAR), The Graph (GRT), and Artificial Superintelligence Alliance (FET) are among the hardest hit, with losses ranging from 7% to 9%. Node.AI (GPU), which is heavily reliant on GPU-based operations, has seen a staggering 20% drop. Altogether, the total market cap of AI-focused cryptocurrencies has shrunk by 8%, now sitting at $38 billion. This sell-off created a ripple effect, spilling over into the broader crypto market and pulling down even mainstream assets like Bitcoin and Ethereum. The cascading losses can be partly explained by liquidations, a phenomenon that often amplifies price movements. Over the past 24 hours, nearly $942 million in futures positions have been liquidated, with an overwhelming $830 million of these being long positions. This stark imbalance between long and short liquidations clearly shows how unprepared traders were for the rapid sell-off triggered by the fallout from DeepSeek’s release. Liquidations of this scale often create a vicious cycle — falling prices force more liquidations, which in turn accelerates the downward spiral. As a result, the market goes into a freefall. At the same time, the macroeconomic environment is adding more pressure. $AI $EARNM