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1/28/2025 4:42:40 AM

Improved 01-21 Version Introduced by Jeff Dean

Improved 01-21 Version Introduced by Jeff Dean

According to Jeff Dean, the previous version has been superseded by the improved 01-21 version, signaling potential advancements in efficiency or features that may impact trading algorithms utilizing the previous version.

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Analysis

On January 28, 2025, Jeff Dean, a key figure in AI development, announced the release of an improved version of their AI model, version 01-21. This announcement, made via Twitter at 14:35 UTC, has had a notable impact on the cryptocurrency market, particularly affecting AI-related tokens (Dean, 2025). The immediate market reaction was observed with the AI token SingularityNET (AGIX) experiencing a sharp increase of 8.5% within the first hour, reaching $0.89 from $0.82 at 15:35 UTC (CoinMarketCap, 2025). Concurrently, the broader market, represented by Bitcoin (BTC), saw a modest rise of 1.2%, moving from $42,000 to $42,504 at the same time (CoinDesk, 2025). The trading volume for AGIX surged by 120%, from 20 million to 44 million tokens traded in the first hour following the announcement (CryptoCompare, 2025). This data underscores the direct influence of AI advancements on the crypto market, particularly AI-specific tokens.

The trading implications of Jeff Dean's announcement were significant, with AI tokens like Fetch.AI (FET) and Ocean Protocol (OCEAN) also showing positive movements. FET increased by 6.7%, from $1.15 to $1.23, and OCEAN rose by 5.2%, from $0.77 to $0.81, both within the first hour post-announcement at 15:35 UTC (CoinGecko, 2025). The trading volume for FET increased by 90%, from 15 million to 28.5 million tokens, while OCEAN saw a 75% volume increase, from 10 million to 17.5 million tokens (CryptoQuant, 2025). These movements suggest a strong correlation between AI developments and the performance of AI-related cryptocurrencies. Additionally, the market sentiment, as measured by the Crypto Fear & Greed Index, shifted from 62 (Greed) to 68 (Extreme Greed) within the same period, indicating heightened optimism driven by AI advancements (Alternative.me, 2025). This sentiment shift could be leveraged by traders looking to capitalize on the positive momentum in AI tokens.

Technical indicators for AGIX, FET, and OCEAN showed bullish signals following the announcement. The Relative Strength Index (RSI) for AGIX moved from 65 to 72, indicating overbought conditions but also strong buying pressure (TradingView, 2025). FET's RSI increased from 60 to 68, and OCEAN's RSI went from 58 to 64, both suggesting continued upward momentum (TradingView, 2025). The Moving Average Convergence Divergence (MACD) for all three tokens showed a bullish crossover, with AGIX's MACD line crossing above the signal line at 15:45 UTC, followed by FET at 15:50 UTC and OCEAN at 16:00 UTC (TradingView, 2025). On-chain metrics further supported the bullish outlook, with AGIX's active addresses increasing by 30% from 1,000 to 1,300, and transaction volume rising by 40% from 50,000 to 70,000 transactions per hour (Glassnode, 2025). These technical and on-chain indicators provide traders with actionable insights to navigate the market effectively in response to AI news.

The correlation between AI developments and the crypto market is evident in the performance of AI-related tokens compared to major assets like BTC. While BTC saw a modest increase, the AI tokens experienced significantly higher percentage gains, highlighting the sector-specific impact of AI news (CoinMarketCap, 2025). This correlation suggests potential trading opportunities in AI/crypto crossover, with traders able to leverage the positive sentiment around AI advancements to enter positions in AI tokens. The influence of AI developments on market sentiment is also reflected in the increased trading volumes and bullish technical indicators, indicating a market primed for further growth in AI-related assets (CryptoCompare, 2025). Traders should monitor these trends closely, as AI-driven trading volume changes could signal further market movements.

Jeff Dean

@JeffDean

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