GPT-5 Launch: Mixed Reviews & Confusion on Day One

Bloomberg

OpenAI’s highly anticipated GPT-5 model has debuted to a reception marked by a blend of cautious praise and palpable confusion, an outcome that contrasts sharply with the months of intense speculation and lofty promises from CEO Sam Altman. Altman had consistently championed GPT-5 as a pivotal moment for the company, setting a high bar for its capabilities and building significant anticipation for its release.

Upon its official launch, OpenAI articulated a vision of GPT-5 as a significant leap forward, particularly in its enhanced capacity for complex problem-solving and coding. The company boldly claimed the new iteration was sophisticated enough to elevate its popular chatbot, ChatGPT, to the equivalent of a Ph.D.-level expert. These ambitious pronouncements fueled considerable excitement among developers, researchers, and the wider tech community, eager to witness a transformative breakthrough in artificial intelligence.

However, the initial 24 hours post-launch presented a more nuanced picture. While some early access users lauded the model’s performance, their commendations often came with notable reservations. Simon Willison, a prominent developer who gained early access, shared his impressions in a blog post, describing GPT-5 as his “new favorite model” and commending its “competence” and “occasional impressiveness.” Yet, his assessment also included a crucial caveat that resonated with many early adopters: “It’s not a dramatic departure from what we’ve had before.”

This sentiment underscores a key source of the “mixed reviews” and “confusion” now swirling around GPT-5. Despite OpenAI’s assertions of doctoral-level expertise and superior reasoning, many users are struggling to identify the promised quantum leap in practical application. The improvements, while present, appear to be more incremental than revolutionary, leading to questions about whether the model truly lives up to the considerable hype. The discrepancy between the grand narrative of a “seminal moment” and the perceived reality of evolutionary, rather than revolutionary, progress has left some users grappling with how to contextualize GPT-5 within the rapidly evolving landscape of large language models. This initial reception suggests that while GPT-5 is undeniably a powerful tool, it may not be the paradigm-shifting innovation many had been led to expect.