After Dev Day, OpenAI is experiencing a user trust crisis. The core contradiction of this crisis is not an insufficient number of releases—on the contrary, OpenAI's Dev Day released about 20 new features, and Tibo had previously previewed that roughly 20 new things would be announced. The problem is that after the event ended, many heavy users found that several issues truly affecting daily experience had not disappeared: reduced quotas, slower models, and the most anticipated new product did not immediately demonstrate the value advertised.
One user stated directly that before Dev Day, OpenAI gave the impression that "this time everything will change," but after the actual release, "it was basically useless." The GPT-6.1 Sol he had most looked forward to also disappointed him in actual use: on paper, performance and efficiency looked beautiful, but when actually working, it was still slow, and compared with Claude, the experience after TPS normalization still lagged by a notch. These complaints come from individual user statements, and the sample and representativeness are unclear, but taken together, they constitute a concentrated challenge to the gap between OpenAI's promotion and delivery.