According to @robmsolomon, ChatGPT 5.1 either thinks for 10 minutes or answers incorrectly immediately, highlighting a user-reported latency versus accuracy trade-off that can influence AI product sentiment screens. source: @robmsolomon on X, Nov 18, 2025. The post provides no quantitative benchmarks, reliability metrics, or market reaction data, so no verifiable performance conclusions or price impacts can be drawn from the source alone. source: @robmsolomon on X, Nov 18, 2025. For traders, treat this as a sentiment datapoint when assessing AI-exposed equities and AI-related crypto tokens, while noting the source includes no evidence of price moves, volumes, or order-flow shifts. source: @robmsolomon on X, Nov 18, 2025. Monitor for official model update notes, third-party benchmarks, and enterprise adoption commentary that could affect software and compute narratives in equities and AI-linked crypto, none of which are provided in the source. source: @robmsolomon on X, Nov 18, 2025.

According to @karpathy, OpenAI’s GPT-5 Pro solved a complex coding task by returning working code after about 10 minutes, following roughly an hour of intermittent attempts with “CC” that did not succeed, indicating a strong qualitative performance on difficult problems. Source: @karpathy (X, Sep 5, 2025). He adds that he had “CC” read the GPT-5 Pro output and it produced two paragraphs admiring the solution, reinforcing his positive assessment of GPT-5 Pro’s code-generation quality. Source: @karpathy (X, Sep 5, 2025). The post offers developer-level endorsement of GPT-5 Pro’s coding capability but provides no market reaction, price action, or product release details, so traders should treat it as a sentiment data point rather than a quantitative catalyst. Source: @karpathy (X, Sep 5, 2025).