OpenAI-Altman saga continues with the firing of Sam Altman. Sources suggest that the reason behind his dismissal is an AI model known as Q*, which is believed to be powerful enough to threaten humanity. Q* combines elements of Q-learning and A* search algorithms and is optimized through Reinforcement Learning from Human Feedback. However, the claims about Q*’s capabilities have not been independently confirmed. It remains to be seen if Q* poses any risk.
Is OpenAI sitting on a dangerous AI model that led to Altman’s firing?
Reports suggest that OpenAI researchers sent a warning letter to the board of directors, expressing concerns about an AI breakthrough that could potentially threaten humanity. The model in question, known as Q* (pronounced Q-Star), is seen as a potential milestone in the quest for artificial general intelligence (AGI).
Q* combines elements of Q-learning and A* search algorithms, optimized through Reinforcement Learning from Human Feedback (RLHF). Q-learning is a reinforcement learning algorithm that helps an agent learn the best actions to take in a given state to maximize a reward. A* is a graph search algorithm that finds the shortest path in a graph. RLHF involves training AI models using human feedback to guide the learning process.
While the details of Q* and its capabilities have not been independently confirmed, it is speculated that Q* could optimize decision-making, handle complex reasoning processes, and refine the model’s ability to solve problems.
It is unclear whether the concerns raised in the letter were the reason for Altman’s firing, but the board reportedly had concerns about prematurely commercializing Q* without fully understanding its implications.
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