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OpenAI co-founder and CEO Sam Altman is publicly acknowledging major hiccups in yesterday\u2019s rollout of GPT-5<\/strong>, the company\u2019s new, flagship large language model (LLM) \u2014 advertised as its most powerful and capable yet. <\/p>\n\n\n\n
Answering user questions in a Reddit AMA (Ask Me Anything) thread and in a post on X this afternoon, Altman admitted to a range of issues that have disrupted the launch of GPT-5, including faulty model switching, poor performance, and user confusion<\/strong> \u2014 prompting OpenAI to partially walk back some of its platform changes and reinstate user access to earlier models like GPT-4o.<\/strong><\/p>\n\n\n\n
\u201cIt was a little more bumpy than we hoped for,\u201d Altman wrote<\/strong> in reply to a question on Reddit regarding the big GPT-5 launch.<\/p>\n\n\n\n
As for erroneous model performance charts shown off during OpenAI\u2019s GPT-5 livestream, Altman said: \u201cPeople were working late and were very tired, and human error got in the way.<\/strong> A lot comes together for a livestream in the last hours.\u201d<\/p>\n\n\n\n
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While he noted the accompanying blog post and system card were accurate, the missteps further muddied a launch already facing scrutiny from early users and developers.<\/p>\n\n\n\n
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GPT-5 rollout updates:<\/p>
*We are going to double GPT-5 rate limits for ChatGPT Plus users as we finish rollout.<\/p>
*We will let Plus users choose to continue to use 4o. We will watch usage as we think about how long to offer legacy models for.<\/p>
*GPT-5 will seem smarter starting\u2026<\/p>\u2014 Sam Altman (@sama) August 8, 2025<\/a><\/blockquote>\n<\/div><\/figure>\n\n\n\n
Problems with new automatic model router<\/h2>\n\n\n\n
One key reason for the trouble according to Altman stems from OpenAI\u2019s new automatic \u201crouter\u201d that assigns user prompts to one of four GPT-5 variants \u2014 regular, mini, nano, and pro \u2014 with an optional \u201cthinking\u201d mode for heavier reasoning tasks. <\/p>\n\n\n\n
On X, Altman revealed that a key part of that system \u2014 the autoswitcher \u2014 was \u201cout of commission for a chunk of the day,\u201d causing GPT-5 to appear \u201cway dumber\u201d than intended.<\/strong><\/p>\n\n\n\n
In response, OpenAI says it\u2019s implementing changes to the model decision boundary and will make it more transparent which model is responding to a given query. <\/p>\n\n\n\n
A UI update is also on the way to help users manually trigger thinking mode.<\/p>\n\n\n\n
Additionally, Altman confirmed that OpenAI will now allow ChatGPT Plus users to continue using GPT-4o \u2014 the prior default model<\/strong> \u2014 after a wave of complaints about GPT-5\u2019s inconsistent performance. He said on Reddit the company is \u201ctrying to gather more data on the tradeoffs\u201d before deciding how long to offer legacy models.<\/strong><\/p>\n\n\n\n
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Yet many users including OpenAI beta testers like Wharton School of Business professor Ethan Mollick expressed confused and dismay at OpenAI unilaterally upgrading their ChatGPT experiences to GPT-5 and initially taking away access to the older models.<\/strong><\/p>\n\n\n\n
Real-world performance lags behind hype<\/h2>\n\n\n\n
OpenAI\u2019s internal benchmarks may show GPT-5 leading the pack of LLMs<\/strong>, but real-world users are sharing a different experience. <\/p>\n\n\n\n
Since the launch, users have posted numerous examples of GPT-5 making basic errors in math, logic, and coding tasks.<\/p>\n\n\n\n
Data scientist Colin Fraser posted screenshots of GPT-5 incorrectly solving whether 8.888 repeating equals 9 (it does not, obviously), while another user showed it flubbing a simple algebra problem: 5.9 = x + 5.11.<\/p>\n\n\n\n
And still other users reported trouble getting accurate answers to math word problems or using GPT-5 to debug its own presentation charts.<\/p>\n\n\n\n
Developer feedback hasn\u2019t been much better, with users posting images of GPT faring worse at \u201cone-shot\u201d certain programming tasks<\/strong> \u2014 completing them well with a single-prompt \u2014 compared to rival AI lab Anthropic\u2019s new model Claude Opus 4.1. <\/strong><\/p>\n\n\n\n
And security firm SPLX found GPT-5 still suffers from serious vulnerabilities to prompt injection and obfuscated logic attacks unless its safety layer is hardened.<\/p>\n\n\n\n
OpenAI in the spotlight<\/h2>\n\n\n\n
With 700 million weekly users on ChatGPT, OpenAI remains the largest player in generative AI by audience. <\/p>\n\n\n\n
But that scale has brought growing pains. Altman noted in his X post that API traffic doubled over 24 hours following the GPT-5 launch, contributing to platform instability.<\/strong><\/p>\n\n\n\n
In response, OpenAI says it will double rate limits for ChatGPT Plus users, and continue to tweak infrastructure as it gathers feedback. <\/p>\n\n\n\n
But the early missteps \u2014 compounded by confusing UX changes and errors in a high-profile launch \u2014 have opened a window for rivals to gain ground.<\/strong><\/p>\n\n\n\n
The pressure is on for OpenAI to prove that GPT-5 isn\u2019t just an incremental update, but a true step forward. Based on the initial rollout, many users aren\u2019t convinced \u2014 yet.<\/p>\n
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