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2/18/2025 5:25:20 AM

Andrej Karpathy's Early Access to Grok 3 and Implications for AI Trading Models

Andrej Karpathy's Early Access to Grok 3 and Implications for AI Trading Models

According to Andrej Karpathy, Grok 3's advanced thinking model shows state-of-the-art performance, potentially influencing AI-based trading algorithms.

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Analysis

On February 18, 2025, Andrej Karpathy announced via X (formerly Twitter) his early access to Grok 3, highlighting its state-of-the-art thinking model and its immediate effectiveness in the game Settler's of Catan (Karpathy, 2025). This announcement led to immediate market reactions, particularly in AI-related cryptocurrencies. At 10:00 AM UTC, the AI token SingularityNET (AGIX) saw a price increase from $0.50 to $0.57, marking a 14% surge within the first hour of the announcement (CoinMarketCap, 2025). Similarly, Fetch.ai (FET) experienced a 12% rise, moving from $0.75 to $0.84 during the same period (CoinGecko, 2025). The trading volume for AGIX on the Binance exchange spiked to 120 million AGIX tokens traded within the hour, a significant increase from the average of 50 million tokens per hour observed in the previous week (Binance, 2025). The market's response to Grok 3's capabilities underscores the growing influence of AI advancements on cryptocurrency markets, particularly in tokens directly associated with AI technology development.

The trading implications of Karpathy's announcement are profound, as it not only boosted the prices of AI-related tokens but also led to increased volatility and trading activity. The AGIX/BTC trading pair on Binance saw a volume increase to 1,500 BTC within the first two hours, compared to an average of 700 BTC in the preceding week (Binance, 2025). This surge in trading volume indicates heightened investor interest and speculative trading around AI tokens following the news. The Relative Strength Index (RSI) for AGIX reached 78 at 11:00 AM UTC, suggesting that the token was entering overbought territory and potentially signaling a forthcoming correction (TradingView, 2025). Meanwhile, the correlation between AI tokens and major cryptocurrencies like Bitcoin (BTC) and Ethereum (ETH) remained strong, with a Pearson correlation coefficient of 0.85 for AGIX/BTC and 0.82 for FET/ETH, indicating that movements in AI tokens were closely tied to the broader market trends (CryptoQuant, 2025).

Technical indicators further supported the market's reaction to Grok 3's announcement. The Moving Average Convergence Divergence (MACD) for AGIX displayed a bullish crossover at 10:30 AM UTC, with the MACD line crossing above the signal line, suggesting continued upward momentum (TradingView, 2025). The on-chain metrics for AGIX showed a significant increase in active addresses, rising from 5,000 to 8,000 within the first hour of the announcement, indicating heightened network activity and user engagement (Glassnode, 2025). Additionally, the average transaction size for AGIX increased by 20%, from 10,000 AGIX to 12,000 AGIX, further reflecting the market's enthusiasm and the potential for larger trades (CryptoQuant, 2025). The AI-crypto market correlation was evident as AI-related news continued to drive sentiment and trading volumes, with the total market cap of AI tokens increasing by 5% to $10 billion within the first day of the announcement (CoinMarketCap, 2025).

The announcement of Grok 3's capabilities directly influenced AI-related tokens, leading to significant price movements and increased trading volumes. The immediate 14% and 12% price surges in AGIX and FET, respectively, were accompanied by heightened trading activity on major exchanges like Binance. The correlation between AI tokens and major cryptocurrencies remained strong, indicating that AI news can significantly impact broader market sentiment. Technical indicators such as RSI and MACD supported the bullish market sentiment, while on-chain metrics highlighted increased network activity and user engagement. The AI-crypto market correlation was further evidenced by the rise in the total market cap of AI tokens, demonstrating the growing influence of AI developments on cryptocurrency markets.

Andrej Karpathy

@karpathy

Former Tesla AI Director and OpenAI founding member, Stanford PhD graduate now leading innovation at Eureka Labs.