The tech world is abuzz with talks about OpenAI’s new model, Q*. The development of this model has not only stirred excitement but also concern, leading to significant changes within OpenAI, including the ousting of CEO Sam Altman.
Q*’s reported ability to solve basic math problems is seen as a monumental leap in AI capabilities. Unlike existing models, which struggle to generalize beyond trained data, Q* is believed to have the capacity for logical reasoning and understanding abstract concepts. This represents a significant advancement, as math is about symbolically reasoning and this is something current language models struggle with.
Speculations suggest that Q* is likely a fusion of Q-learning and A* search techniques, combining deep-learning methods with programmed rules. This blend could potentially address the chatbot’s hallucination problem and represents a symbolic and practical step towards more advanced AI.
AGI and Q:* While Q*’s development is a stride towards AGI, experts caution against overestimating its immediate impact. The model’s ability to solve new, unseen problems, even if simple, is a crucial step towards AGI. However, some in the field, like Gary Marcus, express skepticism about its capabilities, cautioning against overly optimistic extrapolations of its potential.
Q* appears to be a significant step in AI’s evolution, symbolizing a blend of experience and factual reasoning. While it’s a leap forward, the journey to AGI is still filled with challenges and unknowns.