https://links.rexarski.com
ToC
#blog #reading #watching #gaming #podcasting #viz #newsletter #tech #fun #TIL #wellness #tool #LPT
ToC
#blog #reading #watching #gaming #podcasting #viz #newsletter #tech #fun #TIL #wellness #tool #LPT
Claude创始人的长文，这几天很热门。虽然不想搞什么拉踩，但是确实和Altman展示出来的风格和思想倾向极为不同。
#人工智能
Machines of Loving Grace
#人工智能
Machines of Loving Grace
Darioamodei
Dario Amodei — Machines of Loving Grace
How AI Could Transform the World for the Better
彭博社记者 Jason Schreier 近日对外公布了自己将于 10 月 8 日发行的新书：《Play Nice: The Rise, Fall and Future of Blizzard Entertainment》。本书记录了暴雪娱乐从几名 UCLA 大学生的梦想开始，蜕变为每年营收数十亿游戏帝国的过程，以及中间爆发的各种丑闻，书的内容基于对超过 350 人的访谈，探讨了过去 30 年中，令“暴雪”得以构建的创意斗争、办公室政治。
🔗 来源：Schrei Guy，作者 Jason Schreier
📮 频道：@markonreview_express
🌐 访问 Markon Review 阅读更多
https://www.myforevernotes.com/
Myforevernotes
Forever ✱ Notes - A free framework for Apple Notes
Discover Forever ✱ Notes, a unique digital note-taking framework designed for Apple Notes users. Organize your thoughts, streamline your workflow, and enhance your productivity with our simple, intuitive system. Explore Hubs, Collections, and Tags today!
Getting started with generative art
https://nrennie.rbind.io/blog/getting-started-generative-art/
https://nrennie.rbind.io/blog/getting-started-generative-art/
Nicola Rennie
Getting started with generative art | Nicola Rennie
There are many reasons why learning about generative art can be beneficial for data scientists. This blog post will explain what generative art is, where to find some inspiration, and how to start creating your own generative art systems.
https://twitter.com/jerryjliu0/status/1743323278100529254
X (formerly Twitter)
Jerry Liu (@jerryjliu0) on X
Our gift to you this new year is an advanced RAG diagram you can print out and frame 🖼️
@_nerdai_ compiled 15+ advanced RAG techniques, categorized them, and added full @llama_index recipes + notebook links for each of these components.
They’re categorized…
@_nerdai_ compiled 15+ advanced RAG techniques, categorized them, and added full @llama_index recipes + notebook links for each of these components.
They’re categorized…
Reader-LM: Small Language Models for Cleaning and Converting HTML to Markdown (Score: 153+ in 17 hours)
Link: https://readhacker.news/s/6eqsk
Comments: https://readhacker.news/c/6eqsk
Link: https://readhacker.news/s/6eqsk
Comments: https://readhacker.news/c/6eqsk
jina.ai
Reader-LM: Small Language Models for Cleaning and Converting HTML to Markdown
Reader-LM-0.5B and Reader-LM-1.5B are two novel small language models inspired by Jina Reader, designed to convert raw, noisy HTML from the open web into clean markdown.
Might be useful
难以想象我会在2024年试图找到这么一篇2014年的帖子并啧啧称奇： https://discussions.apple.com/thread/5965858?sortBy=rank
