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Edmund (@edmundtian) gave an absolute masterclass on storytelling today at the @HackerResidency Easily one the best & most useful talks I’ve ever been to I have so many ideas for Vibingbase landing page & positioning now
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2. write to remember
intercomputer realist @a16zcrypto / editor https://t.co/fGE7XDfsKo / cofounder @FortuneCrypto
"there's nothing interesting on arxiv these days!" - the words of an uncurious mind i have personally been blown away by the volume of interesting papers posted over the last few months, and eagerly following daily digests here are some papers i enjoyed the most: - Pre-training under infinite compute (September 2025, https://t.co/3Q838oO6ei) - Fresh in memory: Training-order recency is linearly encoded in language model activations (September 2025, https://t.co/V9qCttiFPJ) - Subliminal Learning: Language models transmit behavioral traits via hidden signals in data (July 2025, https://t.co/eJrGChfq1d) - Memory Limitations of Prompt Tuning in Transformers (September 2025, https://t.co/AJR17dkVUx) - Behavioral Fingerprinting of Large Language Models (September 2025, https://t.co/ZdHMlIdcYP) - Language Self-Play For Data-Free Training (September 2025, https://t.co/9kLvY8dNbe) - The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs (September 2025, https://t.co/X7bwtKE8xe) - Do Natural Language Descriptions of Model Activations Convey Privileged Information? (September 2025, https://t.co/4qjWhFJVUG) - Beyond the Leaderboard: Understanding Performance Disparities in Large Language Models via Model Diffing (September 2025, https://t.co/2ejyGDCSVF) - Stochastic activations (September 2025, https://t.co/1xoXmLeIiF) - PonderLM-2: Pretraining LLM with Latent Thoughts in Continuous Space (September 2025, https://t.co/gZW50tvCIK) - Words That Make Language Models Perceive (October 2025, https://t.co/IDQEXdeAGv) - Language Models Do Not Embed Numbers Continuously (October 2025, https://t.co/g8Cw3yNcoV) - Learning Facts at Scale with Active Reading (August 2025, https://t.co/aw3fE8dKiJ) - OverFill: Two-Stage Models for Efficient Language Model Decoding (August 2025, https://t.co/Wku5FXbGEz) - Retrieval Capabilities of Large Language Models Scale with Pretraining FLOPs (August 2025, https://t.co/TWgqTCHjuZ) - Reasoning-Intensive Regression (August 2025, https://t.co/2G8Lxn323A) - Watch the Weights: Unsupervised monitoring and control of fine-tuned LLMs (August 2025, https://t.co/im0qdNorNQ) - On the Theoretical Limitations of Embedding-Based Retrieval (August 2025, https://t.co/7haVnfNpTp)
research @cornell // language models, information theory, science of AI
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从投资领域转到创业：找工作、找面试题、改简历、模拟面试. 创业（冷启动）｜AI , AIGC ｜ 安全技术｜RAG | 时空智能 | 认知心理学｜智能体 ｜ 生命科学 ｜ 强化学习 I built open source software at https://t.co/b69DXZhcyR
yesterday i wrote about how writing clarifies thinking. today: how it helps memory. 2. writing to remember our attention spans are shorter than ever. writing is one of the few ways to slow things down and hold onto our own thoughts. every note or post is a snapshot of who you were, what you noticed, and what you told yourself you cared about. if you keep a writing practice, you will quickly realize that most of what feels urgent doesn’t matter. it’s almost impossible to know what’s important while you’re in the middle of it… writing gives you a way to find out later. looking back at my own journals, i wince at what i ranked highest priority (usually meeting an arbitrary deadline at the expense of being there for others). when you look back, you see yourself clearly… and that can change how you behave today. we forget most of what we think, which is the determinant of how we act. writing helps us remember. writing is memory.
intercomputer realist @a16zcrypto / editor https://t.co/fGE7XDfsKo / cofounder @FortuneCrypto