A growing number of users are voicing frustration over ChatGPT's handling of complex prompts, particularly in finance and coding. This discontent surfaces amidst ongoing debates about the AI's reliability in intricate scenarios, prompting widespread scrutiny.
Frustrations center on several areas where ChatGPT consistently falters:
Complex Task Failures: Many users criticize ChatGPT for struggling with detailed tasks. One individual noted, "The most consistent failures arenโt random bugs but systematic issues when the model hits cognitive boundaries."
Factual Inaccuracy: There's a widespread sentiment that the AI adds unnecessary commentary instead of sticking to the facts. "It's horrendous," lamented one commenter, who sees ChatGPT as only suitable for basic coding or math tasks.
Memory and Hallucinations: Numerous complaints highlight ChatGPT's inability to retain context, leaving conversations feeling fragmented. "All of the chats seem to have the memory facilities of goldfish," one user noted, emphasizing increasing instances of fabricated responses, particularly in finance and regulatory contexts.
Users are particularly troubled by ChatGPT's performance in financial scenarios. One commenter detailed:
"It often forgets its own calculated terminal values or switches discount rates mid-calculation without realizing."
This pattern raises concerns about the AI's ability to provide accurate financial analysis and its potential impacts on users seeking reliable information.
Feedback ranges dramatically, revealing a mix of disappointment and some lingering hope. While many express frustration, there are also endorsements of newer models, like GPT 5, that seem more capable in specific contexts. A user remarked, "For coding, I have found GPT 5 to be immensely more powerful." Conversely, fears about performance continue to loom.
โ Task Complexity: Many find that the AI struggles with in-depth queries in finance and business.
๐ Factual Accuracy: Thereโs concern that ChatGPT adds unnecessary non-factual information.
โ Memory Issues: Users report a significant drop in contextual memory, leading to hallucinations.
The escalating frustrations signal a strong demand for enhancements, particularly to memory handling and response accuracy as AI tools become vital in business and financial contexts. Can these issues be resolved effectively?
As users continue to express their challenges, experts anticipate improvements will be prioritized. With discussions heating up, thereโs an expected push for updates aimed at addressing current shortcomings, boosting ChatGPT's performance in critical areas.
Is it time for a rethink of how AI tools approach complex queries?
Companies often take user feedback seriously, suggesting a path toward a more robust and reliable AI experience.