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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.
For example, data scientist Colin Fraser posted screenshots showing GPT-5 getting a math proof wrong (whether 8.888 repeating is equal to 9 — it is of course, not).
Wow, I was just playing around before but it actually is stupid pic.twitter.com/ao51nOH0Ui — Colin Fraser (@colin_fraser) August 8, 2025
It also failed on a simple algebra arithmetic problem that elementary schoolers could probably nail, 5.9 = x + 5.11.
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This is concerning. https://t.co/PUbeCSgtRV — Benjamin De Kraker (@BenjaminDEKR) August 8, 2025
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