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Jan. 1, 2025, 8:23 a.m.
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Logan Kilpatrick on the Direct Path to Artificial Superintelligence

Brief news summary

Logan Kilpatrick, head of Google's AI Studio, discusses the journey to artificial superintelligence (ASI). He suggests that enhancing test-time compute might enable a leap to ASI, potentially bypassing traditional methods. Instead of viewing the pursuit of artificial general intelligence (AGI) as a single breakthrough, Kilpatrick compares it to a phased rollout. Initially, AI development focused on pretraining techniques, but as their limitations become clear, the emphasis is shifting towards approaches that mimic human problem-solving. This shift is reflected in efforts by companies like Google and OpenAI, which are creating models with enhanced reasoning capabilities. Kilpatrick mentions Ilya Sutskever, cofounder of OpenAI, who advocates for scaling test-time compute and founded Safe Superintelligence to address ASI challenges. Although Kilpatrick was initially skeptical of Sutskever's approach, he now sees its potential. Influenced by his experiences at OpenAI and Google, Kilpatrick has shifted from supporting gradual methods to recognizing the potential effectiveness of a direct route to superintelligence.

Logan Kilpatrick, the head of Google's AI Studio, believes a "straight shot" to achieving artificial superintelligence (ASI) is becoming more likely. He shared on X that this belief is due to the success in scaling test-time compute, where an AI model performs tasks or answers questions. Kilpatrick thinks ASI could be reached without following incremental steps, making a direct approach more feasible. He suggests that achieving artificial general intelligence (AGI), where models match or exceed human capabilities, will occur but resemble a "product release" rather than a dramatic breakthrough. Current discussions are increasingly focused on advancing existing AI models, as traditional pretraining methods may have plateaued. Google and OpenAI are developing AI models that improve reasoning, showing promise in ASI exploration.

Kilpatrick implied that Ilya Sutskever, a former chief scientist at OpenAI, might have noticed early potential in scaling test-time compute. Sutskever, who co-founded Safe Superintelligence, left OpenAI to focus on developing ASI with a singular goal. Kilpatrick, a former leader in developer relations at OpenAI, joined Google this year, adding expertise to the company amidst competitive tensions in AI development. He initially doubted Sutskever's approach, but now considers it might succeed. While discussing the iterative approach to ASI on X, Kilpatrick expressed a preference for iterative progress but acknowledged that a direct path might also be effective.


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