interconnects
PulseAugur coverage of interconnects — every cluster mentioning interconnects across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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AI Analyst Nathan Lambert Reframes Blog for Open Science Mission
Nathan Lambert, formerly of the Allen Institute for Artificial Intelligence, is redefining the focus of his blog, Interconnects. He aims to provide clarity on frontier AI models, foster an open model ecosystem, and buil…
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AI Models: Post-Training Recipes and Future Trends Explored
A new podcast episode features Nathan Lambert and Finbarr Timbers discussing recent advancements in AI model post-training techniques. The conversation covers the industry's shift towards multi-teacher on-policy distill…
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LLM post-training recipes evolve with new distillation techniques
A review of post-training recipes for large language models highlights significant evolution in the past year. Historically, models followed a pipeline of Supervised Fine-Tuning (SFT), reward modeling, and Reinforcement…
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Nathan Lambert clarifies AI book focuses on post-training methods
Nathan Lambert clarified that his book focuses on post-training techniques for AI models. The book aims to provide insights into methods applied after initial model training, rather than covering the entire training process.
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Chinese LLMs lag US rivals in agentic capabilities despite benchmark success
Nathan Lambert of Interconnects suggests that while Chinese LLMs like Kimi, Z.ai, DeepSeek, and Qwen may excel in agentic benchmarks, they face resource limitations hindering their ability to compete with major US labs.…
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The distillation panic
A recent article argues against the term "distillation attacks" when referring to the illicit extraction of AI model capabilities. The author contends that "distillation" is a fundamental and legitimate technique used b…