Is GPT-5 Missing the Mark? Early Signals Suggest a Shift in AI Leadership
Initial reactions to OpenAI‘s GPT-5 release are surprisingly lukewarm, signaling a potential turning point in the fiercely competitive AI landscape. Recent data indicates a growing belief that google may ultimately deliver the leading AI model by August 2025. This shift in sentiment is notably noteworthy given the anticipation surrounding GPT-5 and OpenAI’s previous successes.polymarket Predicts a Google lead
Users on the betting marketplace Polymarket are placing their bets, and the overwhelming majority currently favor Google as the frontrunner in AI dominance by the end of August. This represents a critically important departure from previous expectations, where OpenAI consistently held the perceived lead. It highlights a growing confidence in Google’s capabilities and a potential reassessment of OpenAI’s trajectory.Optimizing for GPT-5: A Learning Curve
Early access users, like Matt Schumer, CEO of Otherside AI, acknowledge a period of adjustment is necessary. he notes that many experiencing difficulties are integrating GPT-5 into existing systems not yet optimized for the new model. here’s what Schumer points out: There’s a natural time lag between a model’s release and its effective integration into existing applications. Companies rush to implement new models, but optimal performance requires refinement and adaptation. Initial experiences don’t necessarily reflect the model’s full potential. Essentially, getting the most out of GPT-5 requires a learning process, both for developers and end-users.Early Indicators Point to a Less Dramatic Leap
While it’s still early days, the initial response to GPT-5 doesn’t suggest a revolutionary leap forward. Previous OpenAI releases, such as GPT-4, 4o, and o3, were widely hailed as “home runs.” This time, the reception is more muted. This is a concerning development for OpenAI, especially considering the company recently secured another ample funding round. Maintaining profitability remains a challenge due to the immense costs associated with ongoing research and development.What Does This Mean for You?
This evolving situation underscores the dynamic nature of the AI field. You should be aware that: AI leadership is not static. The competitive landscape is constantly shifting. Integration is key. Simply having access to a new model isn’t enough; effective implementation is crucial. Early impressions aren’t always definitive. Give the technology time to mature and find its footing. Ultimately, the success of GPT-5 will depend on OpenAI’s ability to address these early concerns and deliver on its promise. For now, the momentum appears to be shifting, and the race for AI supremacy remains wide open.The launch of OpenAI’s long anticipated new model, GPT-5, is off to a rocky start to say the least.
Even forgiving errors in charts and voice demoes during yesterday’s livestreamed presentation of the new model (actually four separate models, and a ‘Thinking’ mode that can be engaged for three of them), a number of user reports have emerged since GPT-5’s release showing it erring badly when solving relatively simple problems that preceding OpenAI models — and rivals from competing AI labs — answer correctly.
Such as, data scientist Colin Fraser posted screenshots showing GPT-5 getting a math proof wrong (whether 8.888 repeating is equal to 9 — it is indeed of course, not).
It also failed on a simple algebra arithmetic problem that elementary schoolers could probably nail, 5.9 = x + 5.11.
Is GPT-5 Missing the Mark? early Signals Suggest a Shift in AI Leadership
Initial reactions to OpenAI’s GPT-5 release are surprisingly lukewarm, signaling a potential turning point in the fiercely competitive AI landscape. Recent data indicates a growing belief that Google may ultimately deliver the leading AI model by August 2025. This shift in sentiment is particularly noteworthy given the anticipation surrounding GPT-5 and OpenAI’s previous successes.Polymarket Predicts a Google Lead
Users on the betting marketplace Polymarket are placing their bets, and the overwhelming majority currently favor Google as the frontrunner in AI dominance by the end of August. This represents a significant departure from previous expectations, where OpenAI consistently held the perceived lead. It highlights a growing confidence in Google’s capabilities and a potential reassessment of OpenAI’s trajectory.Optimizing for GPT-5: A Learning Curve
Early access users, like Matt Schumer, CEO of Otherside AI, acknowledge a period of adjustment is necessary. He notes that many experiencing difficulties are integrating GPT-5 into existing systems not yet optimized for the new model. Here’s what Schumer points out: There’s a natural time lag between a model’s release and its effective integration into existing applications. Companies rush to implement new models, but optimal performance requires refinement and adaptation. Initial experiences don’t necessarily reflect the model’s full potential. Essentially, getting the most out of GPT-5 requires a learning process, both for developers and end-users.early indicators Point to a Less Dramatic Leap
While it’s still early days, the initial response to GPT-5 doesn’t suggest a revolutionary leap forward. Previous OpenAI releases, such as GPT-4, 4o, and o3, were widely hailed as ”home runs.” This time, the reception is more muted. This is a concerning development for OpenAI, especially considering the company recently secured another substantial funding round. Maintaining profitability remains a challenge due to the immense costs associated with ongoing research and development.What Does This Mean for You?
This evolving situation underscores the dynamic nature of the AI field. You should be aware that: AI leadership is not static. The competitive landscape is constantly shifting. Integration is key. Simply having access to a new model isn’t enough; effective implementation is crucial. Early impressions aren’t always definitive. Give the technology time to mature and find its footing.Ultimately, the success of GPT-5 will depend on OpenAI’s ability to address these early concerns and deliver on its promise. For now, the momentum appears to be shifting, and the race for AI supremacy remains wide open.Is GPT-5 Missing the mark? Early Signals Suggest a shift in AI Leadership
Initial reactions to OpenAI’s GPT-5 release are surprisingly lukewarm, signaling a potential turning point in the fiercely competitive AI landscape. Recent data indicates a growing belief that Google may ultimately deliver the leading AI model by august 2025. This shift in sentiment is particularly noteworthy given the anticipation surrounding GPT-5 and OpenAI’s previous successes.Polymarket Predicts a Google Lead
Users on the betting marketplace Polymarket are placing their bets, and the overwhelming majority currently favor Google as the frontrunner in AI dominance by the end of August.This represents a significant departure from previous expectations, where OpenAI consistently held the perceived lead. It highlights a growing confidence in Google’s AI capabilities and a potential reassessment of OpenAI’s trajectory.Optimizing for GPT-5: A Learning Curve
Early access users, like Matt Schumer, co-founder and CEO of Otherside AI, acknowledge a period of adjustment is necessary. He notes that many experiencing difficulties are integrating GPT-5 into existing systems not yet optimized for the new model. Schumer explains that a time lag always exists between a model’s release and its full, effective integration into various applications. Companies rush to incorporate new models, but achieving optimal performance requires refinement and adaptation. Here’s what Schumer points out: Many initial negative experiences stem from using GPT-5 within unoptimized “agent harnesses.” There’s a natural delay between release and truly effective integration across platforms. Companies integrating the model need time to refine their approaches.Early Indicators Point to a Less Dramatic Leap
While GPT-5 is still in its early stages, the initial response doesn’t suggest a revolutionary leap forward. It isn’t generating the same level of excitement as previous OpenAI releases like GPT-4, 4o, or o3. This is a concerning sign for openai, especially considering the company recently secured another substantial funding round. OpenAI continues to operate at a loss due to the immense costs associated with ongoing research and development. A less impactful release puts additional pressure on the company to demonstrate a clear path to profitability.What Does This Mean for You?
This evolving situation underscores the dynamic nature of the AI field. You should be aware that: AI leadership is not static. The competitive landscape is constantly shifting. Integration is key. The true potential of any AI model depends on how effectively it’s implemented. Early impressions aren’t always definitive. Performance can improve significantly as users gain experience and optimize their workflows. Ultimately, the success of GPT-5 will depend on OpenAI’s ability to address these early concerns and deliver on its promise. For now, the market is signaling a potential change in the AI power dynamic, with Google poised to potentially take the lead.Is GPT-5 Missing the mark? Early Signals Suggest a Shift in AI Leadership
Initial reactions to OpenAI’s GPT-5 release are surprisingly lukewarm, hinting at a potential change in the AI landscape. Recent data indicates a growing belief that Google may ultimately deliver the leading AI model by August 2025. This shift in sentiment is particularly notable given the anticipation surrounding GPT-5.Polymarket Predicts a Google Lead
Users on the betting marketplace Polymarket are placing their bets on Google. A significant majority now predict Google will have the most capable AI model before the end of the month. This represents a notable departure from previous expectations, where OpenAI consistently held the perceived advantage.optimizing for GPT-5: A Learning Curve
Early adopters, including those with direct access to GPT-5, are observing a crucial factor: effective utilization. Matt Schumer, CEO of Otherside AI, notes that many initial negative experiences stem from integrating the model into existing systems that aren’t yet optimized for its capabilities. He highlights a common pattern with new model releases. There’s a necessary period where companies refine their integration approaches to truly unlock the model’s potential. This means agent companies are rushing to adapt, and initial performance may not reflect the model’s ultimate capabilities.Early Indicators Point to a Less Dramatic Leap
While it’s still early days, the initial response to GPT-5 doesn’t suggest a revolutionary leap forward. Previous OpenAI releases, like GPT-4, 4o, and o3, were widely hailed as ”home runs.” This time, the reception is more muted. This is a potentially concerning sign for OpenAI, especially considering the company recently secured another substantial funding round. Despite continuous investment, OpenAI continues to operate at a loss due to the immense costs associated with AI research and development.What Does This Mean for You?
Don’t rush to judgment. The full potential of GPT-5 is still unfolding. Consider integration challenges. If you’re using GPT-5 within existing systems, ensure those systems are optimized for the new model. Keep an eye on Google. The company is rapidly advancing its AI capabilities and may be poised to take the lead. Evaluate your AI strategy. The evolving landscape requires continuous assessment of your AI tools and approaches. The AI race is far from over. The coming months will be critical in determining whether OpenAI can regain its momentum or if Google will seize the opportunity to establish itself as the dominant force in AI.Is GPT-5 Missing the Mark? Early Signals Suggest a Shift in AI Leadership
Initial reactions to OpenAI’s GPT-5 release are surprisingly lukewarm, signaling a potential turning point in the fiercely competitive AI landscape. Recent data indicates a growing belief that Google may ultimately deliver the leading AI model by August 2025. This shift in sentiment is particularly noteworthy given the anticipation surrounding GPT-5 and openai’s previous successes.Polymarket Predicts a Google Lead
Users on the betting marketplace polymarket are placing their bets, and the overwhelming majority currently favor Google as the frontrunner in AI dominance by the end of August. This represents a significant departure from previous expectations, where OpenAI consistently held the perceived lead. it highlights a growing confidence in Google’s capabilities and a potential reassessment of OpenAI’s trajectory.Optimizing for GPT-5: A learning Curve
Early access users, like Matt Schumer, CEO of Otherside AI, acknowledge a period of adjustment is necessary. He notes that many experiencing difficulties are integrating GPT-5 into existing systems not yet optimized for the new model. Here’s what Schumer points out: There’s a natural time lag between a model’s release and its effective integration into existing applications. Companies rush to implement new models, but optimal performance requires refinement and adaptation. Initial experiences don’t necessarily reflect the model’s full potential. Essentially, getting the most out of GPT-5 requires a learning process, both for developers and end-users.Early Indicators Point to a Less Dramatic Leap
While it’s still early days, the initial response to GPT-5 doesn’t suggest a revolutionary leap forward. Previous OpenAI releases, such as GPT-4, 4o, and o3, were widely hailed as “home runs.” This time, the reception is more muted. This is a concerning development for OpenAI, especially considering the company recently secured another substantial funding round. Maintaining profitability remains a challenge due to the immense costs associated with ongoing research and development.What Does This Mean for You?
This evolving situation underscores the dynamic nature of the AI field.You should be aware that: AI leadership is not static. The competitive landscape is constantly shifting, and predictions can change rapidly. Integration is key. Simply having access to a new model isn’t enough; successful implementation requires careful optimization. Realistic expectations are crucial. New releases often require a period of adjustment before their full capabilities are realized. Ultimately, the coming months will be critical in determining whether GPT-5 can live up to the hype. For now, the early signals suggest a more competitive race than many anticipated, with Google emerging as a strong contender for AI supremacy.Using GPT-5 to judge OpenAI’s own erroneous presentation charts also did not yield helpful or correct responses.
It also failed on this trickier math word problem below (which, to be fair, stumped this human at first…though Elon Musk’s Groq 4 AI answered it correctly.For a hint, think of the fact that flagstones in this case can’t be divided into smaller portions. They must remain in tact as 80 separate units, so no halves or quarters).
Not as good at coding as benchmarks indicate
Even though OpenAI’s internal benchmarks and some third-party external ones have shown GPT-5 to outperform all other models at coding, it appears that in real world usage, Anthropic’s recently updated Claude Opus 4.1 seems to do a better job at “one-shotting” certain tasks, that is, completing the user’s desired submission or software build to their specifications. See an example below from developer Justin Sun posted to X :
Sadly, OpenAI is slowly deprecating those older models — including the former default GPT-4o and the powerful reasoning model o3 — for users of ChatGPT,though they’ll continue to be available in the application programming interface (API) for developers for the foreseeable future.
In addition, a report from security firm SPLX found that OpenAI’s internal safety layer left major gaps in areas like business alignment and vulnerability to prompt injection and obfuscated logic attacks.
While anecdotal, the checking the temperature on how the model is faring with early AI adopters seems to indicate a chilly reception.
AI influencer and former Googler Bilawal Sidhu posted a poll on X asking for a “vibe check” from his followers and the wider userbase, and so far, with 172 votes in, the overwhelming response is “Kinda mid.”
And as the pseudonymous AI Leaks and News account wrote, “The overwhelming consensus on GPT-5 from both X and the Reddit AMA are overwhelmingly negative.”
Tibor Blaho, lead engineer at AIPRM and a popular AI leaks and news poster on X, summarized the many problems with the ChatGPT-5 rollout in an excellent post,highlighting that one of the new marquee features — an automatic “router” in chatgpt that chooses a thinking or non-thinking mode for the underlying GPT-5 model depending on the difficulty of the query — has become one of the chief complaints, given the model seemed to default to non-thinking mode for many users.
Competition waiting in the wings
Thus, the sentiment toward ChatGPT-5 is far from universally positive, highlighting a major problem for OpenAI as it faces increasing competition from major U.S. rivals like Google and Anthropic, and a growing list of free, open source and powerful Chinese LLMs offering features that many U.S. models lack.
Take the Alibaba Qwen team of AI researchers, who just today updated their highly performant Qwen 3 model to have 1 million token context — giving users the ability to exchange nearly 4x as much data with the model in a single back/forth interaction as GPT-5 offers.
Given OpenAI’s other big release this week — that of new open source gpt-oss models — also received a mixed reception from early users, things are not looking up for the number one dedicated AI company by users right now (700 million weekly active users of ChatGPT as of this month).
Indeed, this is also exemplified by users of the betting marketplace Polymarket overwhelmingly deciding following the release of GPT-5 that Google would likely have the best AI model by the end of this month, August 2025.
Other power users like Otherside AI co-founder and CEO Matt Schumer, who received early access to GPT-5 and blogged about it favorably in a review here, opined that views would shift as more people figured out the best ways to use the new model and adjusted their integration approaches:
While it’s still early days for GPT-5 — and the sentiment could change dramatically as more users get their hands on it and try it for different tasks — the early indications are not looking like this is a “home run” release for OpenAI likewise that prior releases such as GPT-4, or even the newer 4o and o3, were. And that’s a concerning indicator for a company that just raised yet another funding round, yet remains unprofitable due to its high costs of research and development.