Audio essays about the latest developments in AI and interviews with leading scientists in the field. Breaking the hype, understanding what's under the hood, and telling stories. www.interconnects.ai
The current state of AI research acceleration and the potential for recursive self-improvement (RSI) hinge on whether AI systems can effectively automate the research process. While increased spending on coding tools suggests growing utility, evidence for imminent, self-sustaining acceleration remains speculative. Disa...
The global AI landscape is undergoing a significant shift as Chinese labs, including Moonshot AI and Zhipu AI, rapidly narrow the performance gap with closed-source frontier models. These organizations leverage capital efficiency and specialized talent to produce competitive models like Kimi K3 and GLM, challenging the...
Moonshot AI’s release of the Kimi K3 model marks a watershed moment in the AI ecosystem, demonstrating that Chinese labs can achieve frontier-level performance with significantly fewer resources than their American counterparts. This development challenges the assumption that Chinese AI progress relies solely on fast-f...
Post-training recipes for frontier AI models have evolved from simple three-stage supervised fine-tuning and RLHF to complex, industrial-scale pipelines. Current state-of-the-art approaches, exemplified by models like DeepSeek R1 and various multi-teacher distillation methods, prioritize reasoning-focused reinforcement...
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