Core Viewpoint - Poolside, founded by former GitHub CTO Jason Warner, aims to achieve AGI through software development, positioning OpenAI as its primary competitor, indicating that it is not merely an AI coding product but a foundational model company [1][2]. Funding and Valuation - In October of last year, Poolside secured $500 million in a new funding round, with Nvidia participating, leading to a valuation of approximately $3 billion. This funding is aimed at realizing a larger vision [2]. Product Positioning - Poolside's initial product focus is on creating a generative AI programming platform that automates and enhances software development processes, targeting enterprise clients, particularly those with high data security and privacy requirements, such as government and defense applications [2]. Vision for AGI - By mid-2025, Poolside publicly announced its broader vision of achieving AGI through software development, recognizing the limitations of merely scaling language models. The company emphasizes the importance of reinforcement learning (RL) as a key pathway [6]. Reinforcement Learning as a Key Component - Poolside believes that reinforcement learning (RL) is crucial as it allows models to learn from new experiences and real-world interactions, overcoming the limitations of traditional large language models (LLMs) that rely solely on static text data [7]. Software Engineering and AGI - The company views software engineering as a representative field for general intelligence, providing a rich environment for reinforcement learning and a verifiable reward mechanism. They argue that constructing AGI is about extracting human experience from existing limited data rather than merely increasing the volume of text data fed into larger neural networks [11]. Energy System Analogy - Poolside likens its AGI pathway to an "energy system," with "fusion reactors" extracting energy from existing data and "wind turbines" utilizing RL to gather fresh data generated through learning and exploration [11].