OpenAI has introduced CriticGPT, a GPT-4-based model designed to spot errors in code generated by ChatGPT, enhancing the efficiency of human trainers. As generative AI models advance, their mistakes become increasingly subtle, necessitating tools like CriticGPT. While not perfect, CriticGPT enables human trainers to outperform their peers by 60%. Meanwhile, AI chatbots like Microsoft Copilot and ChatGPT have been found spreading disinformation about political events. Companies like Perplexity and Amazon face scrutiny for sourcing inaccuracies from AI-generated content and potential terms of service violations. On the hiring front, Amazon has absorbed AI talent from Adept to bolster its AI capabilities. Benchmark is raising $425 million to support early-stage AI startups, reflecting growing interest in AI investments. In a parallel development, crypto miners are pivoting to AI, leveraging their infrastructure to meet the sector’s soaring energy demands. CoreWeave’s substantial deals with Core Scientific highlight this transition, promising more stable revenue streams over volatile crypto returns. This shift underscores the growing synergy between AI and existing tech sectors.
AI Models Policing AI – A New Era in Machine Learning
OpenAI’s CriticGPT is set to revolutionize the way humans train AI by catching subtle errors.
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