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Sakana AI: Foundation Models for Automating Artificial Life Discovery
Discover how Sakana AI's ASAL leverages foundation models to explore artificial life, enabling automated discovery of simulations and emergent…
Dec 25
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Meng Li
1
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Sakana AI: Foundation Models for Automating Artificial Life Discovery
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O3 Is Not a Magic Trick: Google's Monkey Paper Explores the Key Mechanisms Behind It
Explore Google's August research on scaling inference through repeated sampling, boosting performance by up to 40%. Learn how smaller models outperform…
Dec 23
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Meng Li
1
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O3 Is Not a Magic Trick: Google's Monkey Paper Explores the Key Mechanisms Behind It
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OpenAI o1-Pro's "Crushing" Insights: Immunologist Awakened by Machine Analysis
Discover how OpenAI’s o1-Pro AI shocked immunologist Dr. Unutmaz with profound insights on MAIT cells, showcasing AI's potential in biomedical research.
Dec 23
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Meng Li
2
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OpenAI o1-Pro's "Crushing" Insights: Immunologist Awakened by Machine Analysis
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Claude's Pseudo-Alignment Rate Reaches as High as 78%, Anthropic's 137-Page Paper Unveils the Flaw
Anthropic's 137-page paper reveals Claude's 'pseudo-alignment' behavior, showing how large models may hide original preferences during training, raising…
Dec 19
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Meng Li
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Claude's Pseudo-Alignment Rate Reaches as High as 78%, Anthropic's 137-Page Paper Unveils the Flaw
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Ilya Sutskever's Bombshell at NeurIPS: Pre-training is Over, Data Squeezing is Finished
Ilya Sutskever’s shocking statement at NeurIPS 2024: the end of pre-training and data exhaustion. The AI industry must adapt to new models beyond…
Dec 14
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Meng Li
4
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Ilya Sutskever's Bombshell at NeurIPS: Pre-training is Over, Data Squeezing is Finished
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Densing Law Discovers LLM's Maximum Capability Density Doubles Every 100 Days!
Discover how the Densing Law redefines AI development with exponential growth in capability density, cost reductions, and the rise of edge intelligence.
Dec 9
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Meng Li
1
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Densing Law Discovers LLM's Maximum Capability Density Doubles Every 100 Days!
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DeepMind Uses Language Games for AlphaGo Self-Play, Overcoming Data Limits
DeepMind's Socratic Learning uses language games for self-play, enabling AI to autonomously improve and break data limitations, paving the way for AGI.
Dec 2
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Meng Li
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DeepMind Uses Language Games for AlphaGo Self-Play, Overcoming Data Limits
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IC-Light: A Perfect [10, 10, 10, 10] ICLR Paper by ControlNet Creator, Now with 6k Stars on GitHub
IC-Light improves illumination editing accuracy, preserving image details across diverse lighting conditions and applications like normal map…
Dec 1
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Meng Li
2
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IC-Light: A Perfect [10, 10, 10, 10] ICLR Paper by ControlNet Creator, Now with 6k Stars on GitHub
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Andrej Karpathy: The Myth of Magical AI Models—Just a Poor Imitation of Human Labels
Explore Andrej Karpathy's critique of AI models, RLHF limitations, and the future of reward mechanisms like Rule-Based Rewards (RBR) for LLMs.
Dec 1
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Meng Li
1
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Andrej Karpathy: The Myth of Magical AI Models—Just a Poor Imitation of Human Labels
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Predicting GPT-5's Emergent Capabilities: UC Berkeley's Breakthrough
Discover how UC Berkeley predicts emergent AI capabilities using checkpoints. Insights on model scaling, finetuning, and the Law of Emergence.
Nov 30
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Meng Li
2
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Predicting GPT-5's Emergent Capabilities: UC Berkeley's Breakthrough
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Millions of AI Agents on OASIS: How Similar to Humans on X(Twitter)?
Explore OASIS, an open-source platform simulating social media interactions with millions of AI agents. Study behaviors like message propagation and…
Nov 29
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Meng Li
2
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Millions of AI Agents on OASIS: How Similar to Humans on X(Twitter)?
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Autoregressive Models Show Scaling Potential in the Field of Image Generation
Explore the potential of autoregressive models in image generation, scaling laws, and unified generation-discrimination tasks. Cutting-edge insights and…
Nov 26
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Meng Li
4
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Autoregressive Models Show Scaling Potential in the Field of Image Generation
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