“NotebookLM allows the creation of AI that specializes in areas you don't know, creating voice explanations and flashcards for memorization, making it very useful.”

“Most early work on neuromorphic AI was based on spiking neural networks (SNNs) for intra-token processing, i.e., for transformations involving multiple channels, or features, of the same vector input, such as the pixels of an image.”

“Memorization depends on data modality, and increases with data diversity and finer-grained conditioning; on the modeling side, it peaks at a moderate guidance scale and can be mitigated by longer Vecsets and simple rotation augmentation.”

“The paper identifies unreported threats including commercial LLM API model stealing, parameter memorization leakage, and preference-guided text-only jailbreaks.”

“"AIに同じ画像を何度も読み込ませて描かせると、徐々にホラー画像になったり、全く別の写真になってしまう"”

“It exposes the exact moment a network switches from memorization to generalization ("grokking") by monitoring the geometric arrangement of embeddings in real-time.”

“The paper reveals critical limitations of state-of-the-art VLAs, including a strong tendency toward memorization over generalization, asymmetric robustness, a lack of consideration for safety constraints, and an inability to compose learned skills for long-horizon tasks.”

“The paper originates from ArXiv, suggesting it's a research publication.”

“The article starts with the classic interview question: "Why do Transformers use LayerNorm (LN)?"”

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“The paper examines the impact of large language models on the classification of US Supreme Court cases.”

“Language models process text (*already* compressed human knowledge) using the same mechanism we use to learn from raw data.”

“The paper is sourced from ArXiv, indicating it is a research paper.”

“The article's focus is on mitigating memorization.”

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“We dig into her ICML 2025 Outstanding Paper Award winner, “Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction,” which examines why LLMs struggle with generating truly novel ideas.”

“While AI today produces amazing results on the surface, its internal understanding is a complete mess, described as "total spaghetti".”

“Chollet explains that real intelligence isn't about memorizing information or having lots of knowledge - it's about being able to handle new situations effectively.”

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“The article doesn't contain a direct quote, but summarizes the topics discussed.”

“The article's summary states that GPT-4 performs significantly worse on coding problems not in its training data. This is the core finding.”

“In our conversation, we discuss the current state of adversarial machine learning research, the dynamic of dealing with privacy issues in black box vs accessible models, what privacy attacks in vision models like diffusion models look like, and the scale of “memorization” within these models.”

“Yasaman Razeghi demonstrated comprehensively that large language models only perform well on reasoning tasks because they memorise the dataset. For the first time she showed the accuracy was linearly correlated to the occurance rate in the training corpus.”

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“Batu details his group's ongoing projects, like an activity recognition project with the ONR, and their many CVPR submissions, which include an emulation of a teacher teaching students information without the use of memorization.”