Arizona State University researchers, led by Subbarao Kambhampati, challenge the characterization of AI language models’ intermediate text generation as “reasoning,” arguing that this anthropomorphization fosters misconceptions about their functioning. Their analysis of models like DeepSeek’s R1 reveals that these systems can produce lengthy intermediate outputs that mimic human scratch work without genuine reasoning, and even perform better when trained on semantically meaningless data. The study cautions against interpreting these outputs as valid reasoning, as it may lead to misplaced confidence in AI capabilities and misinform users about the underlying problem-solving processes.
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PCIe 8.0 Announced With 256 GT/s For AI Workloads
PCI-SIG has announced that PCI Express 8.0 will achieve a raw bit rate of 256.0 GT/s, doubling the capacity of PCIe 7.0, with a target release in 2028. This new specification aims to support high data demands from AI and quantum systems, enabling up to 1 terabyte per second bidirectional throughput while enhancing connector designs, protocol efficiency, and power consumption without sacrificing backward compatibility. Want More Context? 🔎
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