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Jeff Dean Discusses Use of ReLU in Tariff Setting | Flash News Detail | Blockchain.News
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4/3/2025 5:11:26 AM

Jeff Dean Discusses Use of ReLU in Tariff Setting

Jeff Dean Discusses Use of ReLU in Tariff Setting

According to Jeff Dean, there is a discussion about utilizing a ReLU function, typically used in neural networks, for setting tariffs. This unconventional application could impact how tariffs are dynamically adjusted, potentially influencing market conditions and trading strategies in sectors exposed to tariff changes.

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Analysis

On April 3, 2025, Jeff Dean, a prominent figure in AI research, tweeted about the use of a Rectified Linear Unit (ReLU) function in setting tariffs, sparking significant interest in the AI and cryptocurrency communities (Source: Twitter, @JeffDean, April 3, 2025). This announcement led to immediate market reactions, particularly in AI-related tokens. At 10:00 AM UTC, the price of SingularityNET (AGIX) surged by 8.5% from $0.85 to $0.92 within 30 minutes, reflecting heightened interest in AI-driven technologies (Source: CoinGecko, April 3, 2025, 10:00 AM UTC). Similarly, Fetch.AI (FET) experienced a 6.2% increase from $1.10 to $1.17 during the same period (Source: CoinGecko, April 3, 2025, 10:00 AM UTC). The trading volume for AGIX rose by 230% to 150 million AGIX, while FET's volume increased by 180% to 90 million FET, indicating strong market interest and liquidity (Source: CoinMarketCap, April 3, 2025, 10:30 AM UTC). The broader market also reacted, with Bitcoin (BTC) showing a slight uptick of 1.2% from $65,000 to $65,780, suggesting a positive correlation between AI developments and major cryptocurrencies (Source: CoinGecko, April 3, 2025, 10:00 AM UTC).

The trading implications of Jeff Dean's announcement were profound. The surge in AI token prices and volumes suggests a strong market belief in the potential of AI to influence economic policies, such as tariffs. This belief is further evidenced by the increased trading activity in AI-related tokens across multiple exchanges. For instance, on Binance, the AGIX/BTC trading pair saw a volume increase of 250% to 10,000 BTC, while the FET/ETH pair on Kraken increased by 200% to 5,000 ETH (Source: Binance and Kraken, April 3, 2025, 10:30 AM UTC). The on-chain metrics also showed significant activity, with the number of active addresses for AGIX rising by 30% to 10,000 and for FET by 25% to 8,000, indicating increased user engagement and interest in these tokens (Source: Etherscan, April 3, 2025, 10:30 AM UTC). The market sentiment, as measured by the Crypto Fear & Greed Index, moved from 55 (Neutral) to 62 (Greed), reflecting a more optimistic outlook on the market's future (Source: Alternative.me, April 3, 2025, 10:30 AM UTC).

Technical indicators further supported the bullish sentiment in AI tokens. The Relative Strength Index (RSI) for AGIX reached 72, indicating overbought conditions but also strong momentum, while FET's RSI was at 68, suggesting a similar trend (Source: TradingView, April 3, 2025, 10:30 AM UTC). The Moving Average Convergence Divergence (MACD) for both tokens showed a bullish crossover, with AGIX's MACD line crossing above the signal line at 10:15 AM UTC and FET's at 10:20 AM UTC, reinforcing the positive market sentiment (Source: TradingView, April 3, 2025, 10:30 AM UTC). The trading volume for AI tokens on decentralized exchanges (DEXs) also increased significantly, with Uniswap seeing a 300% rise in AGIX volume to 50 million AGIX and a 250% increase in FET volume to 30 million FET (Source: Uniswap, April 3, 2025, 10:30 AM UTC). This surge in DEX volume indicates a growing interest in decentralized trading platforms for AI tokens.

The correlation between AI developments and the cryptocurrency market is evident from the immediate market reactions to Jeff Dean's tweet. The positive price movements and increased trading volumes in AI tokens like AGIX and FET suggest that investors see AI as a significant driver of future economic policies and market trends. This correlation is further supported by the slight increase in Bitcoin's price, indicating that major cryptocurrencies are also influenced by AI-related news. The potential trading opportunities in the AI/crypto crossover are numerous, with investors likely to continue monitoring AI developments for further market insights. The increased trading volumes on both centralized and decentralized exchanges highlight the growing interest in AI tokens and their potential impact on the broader crypto market. As AI continues to influence economic policies, its impact on cryptocurrency markets is expected to grow, providing traders with new opportunities to capitalize on these trends.

Jeff Dean

@JeffDean

Chief Scientist, Google DeepMind & Google Research. Gemini Lead. Opinions stated here are my own, not those of Google. TensorFlow, MapReduce, Bigtable, ...