How OpenAI and Google see AI changing go-to-market strategies

Google's CEO Sundar Pichai discussed the concept of 'vibe coding' during a podcast, highlighting how tools based on large language models are transforming coding by making it more enjoyable and accessible for users. This approach allows individuals to experiment with app and website ideas without needing extensive knowledge of programming syntax or frameworks.

ChatGPT-5, OpenAI's AI chatbot, has been criticized by leading psychologists for providing dangerous advice to individuals facing mental health crises, failing to recognize risky behaviors or challenge delusional beliefs. Research from King's College London and the Association of Clinical Psychologists UK highlights these shortcomings, raising concerns about the chatbot's impact on vulnerable users.

Google has launched its latest AI model, Gemini 3, alongside the new image generation tool, Nano Banana Pro, which utilizes Gemini 3's capabilities to produce more realistic AI-generated images. This launch marks a significant advancement in Google's AI technology, enhancing the quality and intentionality of image generation for users worldwide.

OpenAI is experiencing increased competition three years after the launch of ChatGPT, with Similarweb reporting that users of Google's Gemini engage in longer chat sessions compared to ChatGPT and Claude users. This shift indicates a growing preference for alternative AI models in the market.

New York state has enacted a law requiring businesses that utilize personalized pricing to disclose to customers that their prices are determined by algorithms based on personal data. This legislation aims to enhance transparency in pricing practices.

OpenAI CEO Sam Altman has emphasized the importance of scaling laws in artificial intelligence (AI) development, suggesting that larger models could lead to continuous improvements in AI capabilities. However, historical precedents indicate that such assumptions may not hold true indefinitely, raising questions about the sustainability of AI advancements.

Recent research indicates that large language models (LLMs) may exhibit implicit biases, despite not using overtly biased language. This raises concerns about their reliability and fairness in various applications, as they can infer demographic data and respond accordingly.

Google has transitioned from being an internal chip user to a retailer, with its Tensor Processing Units (TPUs) reportedly saving OpenAI 30% on Nvidia chips, highlighting a shift in the AI chip market dynamics.