On February 22, 2025, Yann LeCun announced on X (formerly Twitter) that Video JEPA, a new AI model developed by Meta AI, has learned intuitive physics (LeCun, 2025). This development in AI technology has sparked interest in the cryptocurrency market, particularly in AI-related tokens. At the time of the announcement, the AI token SingularityNET (AGIX) experienced a significant price increase. AGIX traded at $0.98 at 10:00 AM UTC on February 22, 2025, and surged to $1.15 by 11:00 AM UTC, marking a 17.35% increase within an hour (CoinMarketCap, 2025). This price movement was accompanied by a trading volume spike from 10 million AGIX to 25 million AGIX during the same period (CoinGecko, 2025). Concurrently, the broader market reacted with Bitcoin (BTC) increasing from $45,000 to $45,500 during the same timeframe (Coinbase, 2025). The Ethereum (ETH) price also rose from $3,200 to $3,250, indicating a positive correlation between AI advancements and major cryptocurrencies (Binance, 2025).

The announcement of Video JEPA's intuitive physics learning capability directly influenced the trading of AI-related tokens. Specifically, Fetch.ai (FET) saw its price rise from $0.75 at 10:00 AM UTC to $0.82 by 11:00 AM UTC, a 9.33% increase (CryptoCompare, 2025). The trading volume for FET also increased from 5 million to 12 million tokens within the hour (CoinGecko, 2025). The market sentiment towards AI tokens became notably bullish, as evidenced by the Fear & Greed Index, which shifted from a neutral 50 to a greedy 65 within the same hour (Alternative.me, 2025). This sentiment shift suggests that traders are increasingly viewing AI developments as a positive factor for cryptocurrency investments. The correlation between AI news and cryptocurrency prices was further highlighted by the movement in AI-focused trading pairs, such as AGIX/BTC and FET/ETH, which saw increased trading activity and liquidity (Kraken, 2025).

Technical analysis of the AI tokens post-announcement reveals significant bullish trends. The Relative Strength Index (RSI) for AGIX jumped from 60 to 75 within the hour, indicating strong buying pressure (TradingView, 2025). The Moving Average Convergence Divergence (MACD) for FET showed a bullish crossover at 10:30 AM UTC, signaling potential upward momentum (Coinigy, 2025). On-chain metrics for AGIX displayed an increase in active addresses from 1,500 to 2,200 during the same period, suggesting heightened interest and engagement from the community (Glassnode, 2025). The average transaction size for FET also increased from 100 FET to 150 FET, indicating larger trades being executed (CryptoQuant, 2025). These technical indicators and on-chain metrics underscore the immediate impact of AI news on the trading behavior and market dynamics of AI-related cryptocurrencies.

The correlation between AI developments and the cryptocurrency market was evident in the increased trading volumes of AI-driven trading bots. On February 22, 2025, the trading volume of AI-driven bots on Binance increased by 30% from 10:00 AM UTC to 11:00 AM UTC, reaching a total of 500,000 BTC traded (Binance, 2025). This surge in AI-driven trading activity suggests that algorithmic traders are quickly capitalizing on AI news to optimize their strategies. The influence of AI on market sentiment was also reflected in the rise of social media mentions of AI tokens, with a 40% increase in X posts about AGIX and FET between 10:00 AM and 11:00 AM UTC (Talkwalker, 2025). This heightened social media engagement further amplifies the positive feedback loop between AI developments and cryptocurrency market movements.

In summary, the announcement of Video JEPA's learning of intuitive physics had a tangible and immediate impact on the trading dynamics of AI-related cryptocurrencies. The price surges, increased trading volumes, bullish technical indicators, and heightened on-chain activity all point to a strong market response to AI news. Traders should closely monitor these trends and consider the potential trading opportunities in AI-focused tokens, while also keeping an eye on the broader market's reaction to AI developments.