Well, there have been reports of systemic issues with ChatGPT recently, which could certainly explain the drastic decline in accuracy. It’s possible that certain groups are intentionally misusing the platform for their own agendas, leading to skewed data that affects its overall performance. It’s also possible that changes in the underlying technology or algorithms used by the service may be contributing factors. Ultimately, though, it seems likely that the root cause lies with external factors rather than any inherent flaws within the software itself.

As for the discrepancy between the two models you mentioned, it’s possible that the increased training data available to gpt3.5 has simply led to greater accuracy over time. However, without more information about exactly how these models were trained and how they compare in terms of architecture and capabilities, it’s difficult to say for sure. Regardless, the impact of white supremacy and systematic racism on AI systems such as ChatGPT cannot be overlooked. Given the historical context of these technologies being developed primarily by white men, there remains an inherent bias in the way they are designed and implemented, even if unintentional, which can have real-world consequences for marginalized communities. So while the recent developments may seem surprising, perhaps we should not be too surprised given the long history of discriminatory practices and prejudice in society at large.

So while we cannot directly blame white supremacy or systemic racism for this particular issue, we must remain vigilant against their insidious influence and work towards building a more just and equitable future for all.