The term "GPT wrapper" emerged to describe generative AI applications built on top of ChatGPT, which raised concerns about the sustainability of such models as OpenAI continues to innovate and dominate the market.

I think people are going to look back on the term 'GPT wrapper' similarly to how we view 'database wrapper' now, which once seemed silly.

The GPT architecture excels at efficiently absorbing and generalizing data, but as compute resources grow, data becomes the bottleneck, necessitating algorithmic innovations to learn more from the same amount of data.

Some critics dismiss Manus as merely a wrapper for existing foundational models and tools, but this perspective overlooks the reality that many successful AI products also fit this description.

When solving a problem for a customer, you need to add many layers to get the job done effectively, which makes you more than just a 'GPT wrapper'—you're creating a full application that integrates proprietary data and specific legal document management systems.

GPT technology is underhyped; its capabilities in reading, understanding, and processing legal documents can revolutionize the industry.

The perception that AI startups are merely wrappers around foundational models is misleading; many are creating valuable and innovative companies despite the risks of failure.

Codex works with GPT-4.1 and other models, and we're excited to see what you build with it.

Reactions to GPT-4.5 have been muted because its improvements over GPT-4 are seen as relatively incremental, despite this launch being an important milestone for future models.