A new study describes how some GPT-4 capabilities have degraded, though users could simply be figuring out the AI isn’t all that smart.
responding accurately to spatial reasoning questions. In addition, the researchers found that. The team fed it answers from theonly 10% of the code worked per the platform’s instructions. In the March version,phone interview with Gizmodo, researchers Matei Zaharia and James Zou said that the modern responses would include more base text, and the code would more often require edits than previous versions. OpenAI has touted the LLM’s reasoning ability.
a problem for companies hoping to integrate a ChatGPT-to-coding stack pipeline. The language model’s changes over time also show“It highlights the challenges of reliable integration of these language models,” Zou said. The Stanford professor added that “A lot of this could be due to being more conversational,” though it’s hard for anybody on the outside to tell what’s happening under the hood.Users’ recent experience with the AI chatbot has led to speculation online that OpenAI is bumping up the capabilities of its smaller GPT-3.5 model because the earlier version is much smaller, and therefore much cheaper to run than the more complicated GPT-4. Last week, OpenAI’s VP of product Peter Welinder“No, we haven’t made GPT-4 dumber.
Gizmodo reached out to OpenAI for the company’s response to user complaints and to the study, but we did not hear back.The researchers noted that none of what they found points explicitly to large-scale changes beyond fine-tuning, and they’re not claiming that OpenAI is promoting GPT-3.5 above its newer model. That said, the researchers considered how even small changes to the model emphasizing more personalized responses could have wide-ranging impacts on how the AI responds. Zou and Zaharia noted that they want to do a much broader study that may also branch out to
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