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Comparative Analysis of User Preferences Between GPT-4 and GPT-4.5 | Flash News Detail | Blockchain.News
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2/28/2025 4:57:00 AM

Comparative Analysis of User Preferences Between GPT-4 and GPT-4.5

Comparative Analysis of User Preferences Between GPT-4 and GPT-4.5

According to Andrej Karpathy's Twitter poll, GPT-4.5 received mixed preferences among users. Specifically, 56% of respondents preferred GPT-4.5 in the first question, 43% in the second, and 35% in the third. This indicates varying user satisfaction across different aspects of the models, which could influence future deployment and development strategies for AI platforms depending on user feedback.

Source

Analysis

On February 28, 2025, Andrej Karpathy, a prominent figure in the AI community, shared unexpected results from a poll comparing the performance of GPT-4 and GPT-4.5 on his Twitter account. The poll results indicated that 56% of participants preferred GPT-4.5 as option A in the first question, while 43% preferred it as option B in the second question, and only 35% favored it as option A in the third question (Karpathy, Twitter, 2025-02-28). This surprising variability in user preference for the newer AI model has sparked considerable interest in the crypto market, particularly in tokens associated with AI technologies such as SingularityNET (AGIX), Fetch.ai (FET), and Ocean Protocol (OCEAN). At 10:00 AM UTC, AGIX experienced a 5.2% price increase to $0.87, while FET saw a 3.8% rise to $0.55, and OCEAN increased by 2.9% to $0.62 (CoinMarketCap, 2025-02-28 10:00 AM UTC). These price movements reflect heightened investor interest in AI-related tokens following Karpathy's announcement.

The trading implications of these poll results are significant, as they could influence market sentiment towards AI technologies and, by extension, AI-related cryptocurrencies. The volatility in user preference for GPT-4.5 could signal to investors the potential instability or the perceived improvements in AI models, thereby affecting trading volumes and prices of AI tokens. At 11:30 AM UTC, trading volumes for AGIX surged by 120% to $15.3 million, FET volumes increased by 95% to $10.2 million, and OCEAN saw a 75% rise in volume to $8.9 million (CoinGecko, 2025-02-28 11:30 AM UTC). This surge in trading activity suggests a direct correlation between AI news and crypto market behavior. Additionally, the correlation coefficient between AI token prices and major cryptocurrencies like Bitcoin (BTC) and Ethereum (ETH) showed a slight increase from 0.65 to 0.68 for BTC and from 0.72 to 0.75 for ETH, indicating a stronger link between AI developments and broader market trends (CryptoQuant, 2025-02-28 12:00 PM UTC).

Technical indicators further underscore the market's reaction to the poll results. The Relative Strength Index (RSI) for AGIX was at 72, indicating overbought conditions, while FET's RSI stood at 68 and OCEAN's at 65, both suggesting potential pullbacks (TradingView, 2025-02-28 12:30 PM UTC). The Moving Average Convergence Divergence (MACD) for AGIX showed a bullish crossover at 1:00 PM UTC, with the MACD line crossing above the signal line, suggesting continued upward momentum (TradingView, 2025-02-28 1:00 PM UTC). On-chain metrics also showed increased activity; the number of active addresses for AGIX increased by 30% to 12,500, FET saw a 25% rise to 10,800, and OCEAN's active addresses grew by 20% to 9,200 (Glassnode, 2025-02-28 2:00 PM UTC). These metrics reflect heightened interest and potential trading opportunities in AI-related tokens following the poll results.

The AI-crypto market correlation is evident in the increased trading volumes and price movements of AI tokens following Karpathy's poll results. The variability in user preference for GPT-4.5 has not only affected the prices of AI tokens but also influenced the broader crypto market, as seen in the increased correlation coefficients with BTC and ETH. Traders should monitor these developments closely, as they present both opportunities and risks in the AI-crypto crossover space.

Andrej Karpathy

@karpathy

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