In a fascinating development, OpenAI has unveiled CriticGPT - an innovative AI model designed to catch errors in ChatGPT's code output.
CriticGPT, based on the powerful GPT-4 model, has been specifically trained to spot mistakes in ChatGPT's responses. The results are impressive: when people use CriticGPT to review ChatGPT code, they outperform those without AI assistance 60% of the time.
The implications of CriticGPT go beyond code quality. It represents a significant step towards better evaluation of complex AI systems - a crucial challenge in AI alignment and safety.
What strikes me is OpenAI's consistent focus on innovation. While competitors often claim to have surpassed GPT-4 or SORA, OpenAI quietly continues to produce quality advancements that benefit both the industry and society.
Interestingly, CriticGPT's approach reminds me of GAN architecture. Just as generators and discriminators work together to produce realistic images in GANs, we could view GPT-4 as the generator and CriticGPT as the discriminator/critic in this scenario.
We’ve trained a model, CriticGPT, to catch bugs in GPT-4’s code. We’re starting to integrate such models into our RLHF alignment pipeline to help humans supervise AI on difficult tasks: https://lnkd.in/gbAue2fZ