Many models today, even if they don't train on OpenAI data, still claim to be trained by OpenAI due to the prevalence of OpenAI outputs on the internet that are hard to filter out.

The term 'competitor' is unclear in the AI space, leading to ethical questions about the hypocrisy of training on internet text while restricting others from using OpenAI's outputs.

OpenAI and many companies trained on internet text without permission, creating a loophole where data generated from OpenAI can be uploaded and used by others without violating terms of service.

Startups have successfully navigated potential regulatory capture by large players like OpenAI, allowing them to innovate in AI applications without excessive restrictions.

The rules of AI businesses are being rewritten; for instance, OpenAI's investment in training models like GPT-4 was speculative but necessary for innovation.

Every time there's an OpenAI product release, startups are anxious about whether it will threaten their existence. It's a critical moment for startups to stay informed about these developments and anticipate their own innovations.

Despite concerns that OpenAI might stifle startups, there remains ample room for innovation, and the current tools could lead to a surge of new, exciting startups.

Enterprises are becoming more comfortable with using hosted AI models, as security, privacy, and compliance measures are being taken seriously by providers like OpenAI.

There are open platforms that the newest AI tools can exploit, suggesting potential opportunities for startups as larger companies struggle to regulate them.