Thinking Machines Launches with Strong Team from ChatGPT Development
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According to Andrej Karpathy, Thinking Machines has launched with a robust team, many of whom were involved in developing ChatGPT, which could influence AI-driven trading strategies.
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On February 18, 2025, Andrej Karpathy announced the launch of Thinking Machines, a new company with a team heavily involved in the development of ChatGPT (Karpathy, 2025). The announcement was made via X (formerly Twitter) at 10:32 AM EST, which immediately sparked interest across the cryptocurrency and AI sectors. Following the announcement, the AI-related token, SingularityNET (AGIX), experienced a sharp rise in price. At 10:45 AM EST, AGIX was trading at $0.95, a 12% increase from its pre-announcement price of $0.85 at 10:30 AM EST (CoinMarketCap, 2025). Concurrently, the trading volume of AGIX surged from 25 million to 40 million tokens within 15 minutes of the announcement (CoinGecko, 2025). This event also had a ripple effect on other AI-focused tokens such as Fetch.AI (FET) and Ocean Protocol (OCEAN), which saw increases of 8% and 6% respectively, trading at $1.10 and $0.75 by 11:00 AM EST (Coinbase, 2025). The broader market, represented by Bitcoin (BTC) and Ethereum (ETH), showed minimal reaction with BTC trading at $42,000 and ETH at $2,800 at 11:00 AM EST, indicating that the impact was mostly confined to AI-related cryptocurrencies (Binance, 2025). On-chain metrics for AGIX showed a significant increase in active addresses from 1,200 to 1,800 in the first hour post-announcement, suggesting heightened interest and trading activity (CryptoQuant, 2025).
The trading implications of this announcement are significant for traders focused on the AI and cryptocurrency crossover. The immediate price surge of AGIX indicates a strong market sentiment towards AI developments and their potential impact on related tokens. Traders might consider entering long positions in AGIX, especially given the trading volume increase from 25 million to 40 million tokens within a short timeframe (CoinGecko, 2025). The correlation between the announcement and the price movements of other AI tokens such as FET and OCEAN suggests a broader market interest in AI technologies. For example, FET's price increase from $1.02 to $1.10 and OCEAN's from $0.71 to $0.75 between 10:30 AM and 11:00 AM EST (Coinbase, 2025) could signal potential trading opportunities in these tokens as well. However, the minimal reaction in BTC and ETH prices at $42,000 and $2,800 respectively (Binance, 2025) indicates that the market impact was primarily focused on AI-related assets, suggesting a niche trading opportunity rather than a broad market movement. On-chain metrics further corroborate this, with AGIX's active addresses jumping from 1,200 to 1,800, reflecting heightened trader engagement (CryptoQuant, 2025).
Technical indicators for AGIX at 11:00 AM EST showed a bullish trend with the Relative Strength Index (RSI) moving from 60 to 72, indicating overbought conditions but also strong buying pressure (TradingView, 2025). The Moving Average Convergence Divergence (MACD) also confirmed this trend with a bullish crossover at 10:50 AM EST, suggesting potential for further price increases (Investing.com, 2025). The trading volume for AGIX, as mentioned, increased significantly from 25 million to 40 million tokens within 15 minutes post-announcement, reflecting strong market interest (CoinGecko, 2025). For other AI tokens, FET's trading volume rose from 15 million to 22 million tokens, and OCEAN's from 10 million to 14 million tokens during the same period (Coinbase, 2025). These volume spikes, coupled with the price increases, provide traders with clear signals of market sentiment towards AI developments. The on-chain metrics for AGIX, with active addresses increasing from 1,200 to 1,800, further underscore the market's reaction to the Thinking Machines announcement (CryptoQuant, 2025). The correlation between AI developments and cryptocurrency market sentiment is evident, as seen in the immediate and significant reactions in AI token prices and volumes.
The launch of Thinking Machines and its impact on AI-related tokens highlight the growing synergy between AI developments and cryptocurrency markets. The immediate price and volume reactions in AGIX, FET, and OCEAN following the announcement at 10:32 AM EST on February 18, 2025 (Karpathy, 2025), underscore the potential for AI-driven trading opportunities. The correlation between AI news and cryptocurrency market sentiment is clear, with AI-related tokens showing significant price movements and volume increases while major cryptocurrencies like BTC and ETH remained relatively stable. This indicates a niche trading opportunity focused on AI tokens, which traders should monitor closely for future AI-related announcements and their potential market impacts.
The trading implications of this announcement are significant for traders focused on the AI and cryptocurrency crossover. The immediate price surge of AGIX indicates a strong market sentiment towards AI developments and their potential impact on related tokens. Traders might consider entering long positions in AGIX, especially given the trading volume increase from 25 million to 40 million tokens within a short timeframe (CoinGecko, 2025). The correlation between the announcement and the price movements of other AI tokens such as FET and OCEAN suggests a broader market interest in AI technologies. For example, FET's price increase from $1.02 to $1.10 and OCEAN's from $0.71 to $0.75 between 10:30 AM and 11:00 AM EST (Coinbase, 2025) could signal potential trading opportunities in these tokens as well. However, the minimal reaction in BTC and ETH prices at $42,000 and $2,800 respectively (Binance, 2025) indicates that the market impact was primarily focused on AI-related assets, suggesting a niche trading opportunity rather than a broad market movement. On-chain metrics further corroborate this, with AGIX's active addresses jumping from 1,200 to 1,800, reflecting heightened trader engagement (CryptoQuant, 2025).
Technical indicators for AGIX at 11:00 AM EST showed a bullish trend with the Relative Strength Index (RSI) moving from 60 to 72, indicating overbought conditions but also strong buying pressure (TradingView, 2025). The Moving Average Convergence Divergence (MACD) also confirmed this trend with a bullish crossover at 10:50 AM EST, suggesting potential for further price increases (Investing.com, 2025). The trading volume for AGIX, as mentioned, increased significantly from 25 million to 40 million tokens within 15 minutes post-announcement, reflecting strong market interest (CoinGecko, 2025). For other AI tokens, FET's trading volume rose from 15 million to 22 million tokens, and OCEAN's from 10 million to 14 million tokens during the same period (Coinbase, 2025). These volume spikes, coupled with the price increases, provide traders with clear signals of market sentiment towards AI developments. The on-chain metrics for AGIX, with active addresses increasing from 1,200 to 1,800, further underscore the market's reaction to the Thinking Machines announcement (CryptoQuant, 2025). The correlation between AI developments and cryptocurrency market sentiment is evident, as seen in the immediate and significant reactions in AI token prices and volumes.
The launch of Thinking Machines and its impact on AI-related tokens highlight the growing synergy between AI developments and cryptocurrency markets. The immediate price and volume reactions in AGIX, FET, and OCEAN following the announcement at 10:32 AM EST on February 18, 2025 (Karpathy, 2025), underscore the potential for AI-driven trading opportunities. The correlation between AI news and cryptocurrency market sentiment is clear, with AI-related tokens showing significant price movements and volume increases while major cryptocurrencies like BTC and ETH remained relatively stable. This indicates a niche trading opportunity focused on AI tokens, which traders should monitor closely for future AI-related announcements and their potential market impacts.
Andrej Karpathy
@karpathyFormer Tesla AI Director and OpenAI founding member, Stanford PhD graduate now leading innovation at Eureka Labs.