According to DeepLearning.AI, OpenAI has launched Codex, an advanced system where AI agents collaboratively write, test, and debug code in parallel, mirroring the workflow of a virtual software engineering team (source: DeepLearning.AI, May 26, 2025). Codex is now available in preview through ChatGPT for Pro, Enterprise, and Team users and can operate directly on code repositories. For crypto traders, this development signals increased efficiency and innovation in blockchain smart contract development, as AI-powered coding could accelerate deployment and improve security. Enhanced developer productivity may lead to faster rollouts of decentralized applications (dApps), which can impact trading activity, token valuations, and the broader crypto ecosystem.

According to DeepLearning.AI, Together AI and Agentica have launched DeepCoder-14B-Preview, a code generation model designed to rival top-tier reasoning models such as OpenAI’s o1 and DeepSeek-R1, while utilizing only a fraction of their size. Built on a 14 billion parameter Qwen backbone and leveraging highly optimized reinforcement learning techniques, DeepCoder-14B delivers robust coding and reasoning capabilities. For cryptocurrency traders, this advancement in AI-driven code generation could accelerate the development of decentralized applications and smart contracts, potentially increasing the efficiency and scalability of blockchain projects (Source: DeepLearning.AI via Twitter, May 19, 2025).

According to Andrew Ng, AI's ability to make code writing not only cheaper but also significantly faster is an underrated factor in driving business value. This breakthrough in AI-assisted software development reduces operational costs and increases productivity, which can accelerate blockchain and crypto project launches, boosting innovation in decentralized finance and Web3 ecosystems (source: Andrew Ng on Twitter, May 15, 2025). Traders should monitor AI infrastructure tokens and platforms supporting smart contract automation, as their demand may rise due to faster development cycles enabled by AI.