According to @DeepLearningAI, during the AI Dev 25 x NYC panel 'Breaking the Limits of AI Growth,' Kay Zhu, CTO at Mainfunc (@Genspark_AI), highlighted how adopting an AI-native approach enables their team to bypass development bottlenecks. By strategically focusing on AI's strengths and tailoring product development to leverage these capabilities, Mainfunc is able to rapidly release new features on a weekly basis. This method not only increases product velocity but also positions the company to better address evolving business needs and changing market demands. Source: @DeepLearningAI, November 14, 2025.

According to @andrewmayne, @markchen90, and @nickaturley on the OpenAI Podcast Episode 2, the discussion focused on the practical process behind ChatGPT's development, revealing how OpenAI approaches product design and iteration to ensure robust AI deployment (source: @andrewmayne via Twitter, June 2024). The episode also explored future AI business opportunities in agentic coding—where models autonomously write and optimize code—and in multimodal assistants that combine text, image, and audio capabilities, signaling strategic trends for enterprise adoption and next-generation AI services (source: OpenAI Podcast Episode 2).