Gong initially hid its transcription feature due to accuracy concerns, demonstrating the importance of user experience in AI applications.

Initially, Gong relied on external transcription services but later developed its own engine to improve accuracy and reduce costs, which became a competitive advantage, evolving from a meeting transcription tool to an AI-powered revenue platform that can increase sales capacity by up to 60%.

Voice interaction is extremely important for OpenAI, but the current voice product is not yet good enough.

Despite improvements in technology, translating that into productivity enhancements remains a challenge.

Current AI technologies excel in specific tasks like image recognition and speech processing, but they still struggle with genuine understanding of language.

Achieving a human-like voice interaction requires breakthroughs in model technology and distribution, which are expected to evolve significantly in the next couple of years.

OpenAI's real-time voice API is a remarkable development, with usage-based pricing indicating a shift in how voice applications are valued in the market.

Personalized voice recognition models are currently limited, as they primarily focus on recognizing specific voices rather than a wide range of voices.

The early days of AI development were marked by skepticism about the viability of language models, but persistence in technology has proven their value.