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No-as-a-Service (NaaS): The API That Says "No" So You Don’t Have To.
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已经让 Codex 给 Hacker News 每日播报换上了 Podify 模板，太漂亮了。 来找找页面上的彩蛋 https://t.co/swpdZPNpQ2
前端切图仔🧑🏻💻，后端三脚猫🤷🏻♂️，运维挖坑人🤦🏻♂️，AI 门外汉🧐。 开源: ⚡ https://t.co/wk0K4h9gd5 玩具: 📮 https://t.co/VTi1aFKE2y 🧰 https://t.co/cRxrFndEFH 我在使用的工具： 🛠：https://t.co/47QLYWyxJA
doing synthetic upsampling on nanotron default prompt wasn't the worst idea to track model training.
also indicative of later phase where models explore more diverse semantic paths.
Why do brilliant STEM inventors (not only in deep learning) often make irrelevant inventions later in career? Is it: * Regression to mean (great ideas are rare) * Hubris/entrenchment with age * Something else? Good counterexamples? If age-related decline is real, how would this threshold shift as lifespans extend dramatically this century? Would the "peak innovation age" stay fixed or scale as a % of total lifespan?
Distributed Learning @ deepmind | DiLoCo, DiPaCo. Continual Learning PhD @ Sorbonne
Why do brilliant STEM inventors (not only in deep learning) often make irrelevant inventions later in career? Is it: * Regression to mean (great ideas are rare) * Hubris/entrenchment with age * Something else? Good counterexamples? If age-related decline is real, how would this threshold shift as lifespans extend dramatically this century? Would the "peak innovation age" stay fixed or scale as a % of total lifespan?
Distributed Learning @ deepmind | DiLoCo, DiPaCo. Continual Learning PhD @ Sorbonne