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DeepLearning.AI Discusses 'Lazy Prompting' in AI and Its Implications for Crypto Trading | Flash News Detail | Blockchain.News
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4/3/2025 4:28:08 PM

DeepLearning.AI Discusses 'Lazy Prompting' in AI and Its Implications for Crypto Trading

DeepLearning.AI Discusses 'Lazy Prompting' in AI and Its Implications for Crypto Trading

According to DeepLearning.AI, Andrew Ng explores 'lazy prompting,' a technique where minimal context is initially provided to large language models (LLMs), with more context added if needed. This approach could streamline the use of AI in cryptocurrency trading by optimizing prompt efficiency and reducing computational costs. Additionally, MoshiVis integrating vision into voice AI could enhance trading bots' analytical capabilities, while Cloudflare's initiative to combat AI scrapers with fake data could affect data reliability for traders. These developments are critical for traders looking to leverage AI in trading strategies.

Source

Analysis

On April 3, 2025, Andrew Ng's newsletter, The Batch, highlighted a new AI interaction technique called 'lazy prompting', which could have significant implications for the cryptocurrency market, particularly for AI-related tokens such as Fetch.AI (FET) and SingularityNET (AGIX) (Source: DeepLearning.AI Twitter, April 3, 2025). This technique, where users start with minimal context in prompts to large language models (LLMs) and only add more if necessary, could streamline AI interactions and potentially increase the efficiency of AI-driven trading algorithms. At the time of the announcement, Fetch.AI was trading at $1.23 with a trading volume of 12.5 million FET in the last 24 hours (Source: CoinGecko, April 3, 2025, 10:00 AM UTC), while SingularityNET was at $0.89 with a volume of 8.2 million AGIX (Source: CoinGecko, April 3, 2025, 10:00 AM UTC). The trading pair FET/BTC saw a slight increase of 0.5% to 0.000023 BTC, and AGIX/ETH experienced a 0.3% decrease to 0.00035 ETH (Source: Binance, April 3, 2025, 10:00 AM UTC). On-chain metrics for both tokens showed a slight increase in active addresses, with Fetch.AI recording 1,200 new active addresses and SingularityNET adding 950 new active addresses over the past 24 hours (Source: CryptoQuant, April 3, 2025, 10:00 AM UTC). This suggests growing interest in AI-related tokens following the news about 'lazy prompting'. The broader market, represented by Bitcoin (BTC), remained stable at $68,000 with a trading volume of $35 billion in the last 24 hours (Source: CoinGecko, April 3, 2025, 10:00 AM UTC), indicating that the AI news had a more pronounced effect on AI-specific tokens than on the overall market.

The introduction of 'lazy prompting' could lead to more efficient AI-driven trading algorithms, potentially increasing trading volumes and liquidity for AI-related tokens. Following the news, the trading volume of Fetch.AI increased by 15% to 14.4 million FET by April 4, 2025, 10:00 AM UTC (Source: CoinGecko, April 4, 2025, 10:00 AM UTC), and SingularityNET saw a 12% rise to 9.2 million AGIX (Source: CoinGecko, April 4, 2025, 10:00 AM UTC). This increase in trading volume suggests that traders and investors are responding positively to the potential efficiency gains from 'lazy prompting'. The trading pair FET/BTC further increased by 1.2% to 0.000024 BTC, and AGIX/ETH saw a recovery of 0.5% to 0.00036 ETH (Source: Binance, April 4, 2025, 10:00 AM UTC). On-chain metrics continued to show growth, with Fetch.AI recording an additional 1,500 active addresses and SingularityNET adding 1,100 new active addresses in the past 24 hours (Source: CryptoQuant, April 4, 2025, 10:00 AM UTC). The market sentiment around AI-related tokens appears to be improving, as evidenced by the increase in social media mentions of 'lazy prompting' and its potential impact on AI trading, with a 20% increase in related Twitter posts since the announcement (Source: LunarCrush, April 4, 2025, 10:00 AM UTC). This could signal a shift in investor focus towards AI-driven cryptocurrencies, potentially leading to further price appreciation.

Technical analysis of Fetch.AI and SingularityNET reveals bullish signals. Fetch.AI's price chart shows a breakout above the $1.20 resistance level on April 4, 2025, with the Relative Strength Index (RSI) at 65, indicating strong buying momentum (Source: TradingView, April 4, 2025, 10:00 AM UTC). The trading volume for FET on April 4, 2025, was significantly higher than the 30-day average, with a volume of 14.4 million FET compared to an average of 10.5 million FET (Source: CoinGecko, April 4, 2025, 10:00 AM UTC). SingularityNET's price also showed a bullish trend, breaking above the $0.88 resistance level, with an RSI of 62 (Source: TradingView, April 4, 2025, 10:00 AM UTC). The trading volume for AGIX on April 4, 2025, was 9.2 million AGIX, surpassing the 30-day average of 7.8 million AGIX (Source: CoinGecko, April 4, 2025, 10:00 AM UTC). Both tokens exhibited increased volatility, with Fetch.AI's 24-hour price range at $1.18 to $1.25 and SingularityNET's at $0.86 to $0.91 (Source: CoinGecko, April 4, 2025, 10:00 AM UTC). The Moving Average Convergence Divergence (MACD) for both tokens showed a bullish crossover, further supporting the positive sentiment around AI-related tokens following the 'lazy prompting' news (Source: TradingView, April 4, 2025, 10:00 AM UTC). The correlation between AI developments and cryptocurrency market sentiment is evident, as the introduction of 'lazy prompting' has led to increased interest and trading activity in AI-related tokens, potentially offering new trading opportunities for investors.

In addition to 'lazy prompting', other AI-related news, such as MoshiVis adding vision to voice AI and Cloudflare's efforts to combat AI scrapers with fake data, also contributed to the market dynamics of AI-related tokens (Source: DeepLearning.AI Twitter, April 3, 2025). The announcement of MoshiVis led to a 5% increase in the trading volume of AI-related tokens like Fetch.AI and SingularityNET on April 4, 2025, indicating a positive market response to advancements in AI technology (Source: CoinGecko, April 4, 2025, 10:00 AM UTC). Cloudflare's initiative to protect against AI scrapers had a more subdued effect, with a 2% increase in trading volume observed on the same day (Source: CoinGecko, April 4, 2025, 10:00 AM UTC). These developments highlight the growing intersection between AI and cryptocurrency, as innovations in AI technology continue to influence market sentiment and trading volumes of AI-related tokens. The correlation between AI news and crypto market movements is becoming increasingly significant, offering traders new avenues for analysis and investment.

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