According to OpenAI (@OpenAI), Plus and Pro users who sign in to Codex CLI with ChatGPT can now redeem $5 and $50 in free API credits, respectively, over the next 30 days (source: OpenAI Twitter, May 17, 2025). This move is expected to increase developer engagement and drive usage of AI-powered applications, which often rely on blockchain and cryptocurrency payments for API access. Traders should watch for increased transaction volumes and potential price impact on tokens tied to AI and API ecosystems, such as Fetch.ai (FET) and Bittensor (TAO), as more developers leverage these credits to build and deploy decentralized solutions.

According to Sam Altman (@sama) on Twitter, OpenAI is preparing to release another low-key research preview soon (source: Sam Altman, Twitter, May 15, 2025). While details are limited, previous OpenAI research previews have triggered significant volatility and innovation in related crypto tokens, particularly those focused on AI and decentralized computing. Traders should monitor AI-linked cryptocurrencies such as Fetch.ai (FET), Render (RNDR), and Bittensor (TAO) for potential price action and increased trading volume following the upcoming announcement, as market participants often react strongly to new developments in artificial intelligence.

According to Lex Sokolin (@LexSokolin), the current AI landscape is seeing a major shift as individuals can now combine computational resources to create large-scale models independently, without dependence on providers like Deepseek or Meta. This development enables genuine community-driven innovation, which is unprecedented and poses significant implications for the cryptocurrency market. Decentralized AI model creation could accelerate the adoption of blockchain-based compute protocols, potentially driving demand for tokens such as Render (RNDR) and Bittensor (TAO), which facilitate decentralized AI infrastructure (source: Lex Sokolin via Twitter, May 6, 2025).

According to @KookCapitalLLC, there is growing demand for decentralized AI platforms similar to ChatGPT or Grok that utilize proof-of-work (PoW) blockchains, where mining is performed by contributing computational resources. Currently, projects like Bittensor (TAO) and Gensyn are leading this space by enabling decentralized machine learning networks that reward participants for compute power, as confirmed by Bittensor's official documentation and recent market analysis from CoinDesk. These platforms aim to address privacy and data monetization concerns found in centralized AI services, making them increasingly relevant for crypto traders monitoring emerging use cases and token utility in the AI and blockchain sectors (source: CoinDesk, Bittensor docs).