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- weekend ai reads for 2023-08-18
weekend ai reads for 2023-08-18
📰 ABOVE THE FOLD: ECONOMICS OF AI (SPECULATIVE)
What exactly are the economics of AI? — Some AI makes a ton of money; a lot of it is still speculative Gary Marcus, Substack
AI Won’t Supercharge the US Economy Bloomberg Opinion
via adam, What if Generative AI turned out to be a Dud? — Some possible economic and geopolitical implications Gary Marcus, Substack
Every start-up is an AI company now. Bubble fears are growing. Washington Post
Nvidia and other AI stocks are slumping. 'Amara's Law' explains why. Yahoo Finance
meanwhile …
Saudi Arabia and UAE race to buy Nvidia chips to power AI ambitions — Gulf nations acquire thousands of GPUs amid global shortage of semiconductors needed to build large language models Financial Times
China's internet giants order $5bn of Nvidia chips to power AI ambitions — Baidu, ByteDance, Tencent, Alibaba rush to buy amid concern of U.S. clampdown Nikkei East
ChatGPT fever spreads to US workplace, sounding alarm for some Reuters
The $900,000 AI Job Is Here — Salaries rise as employers such as Netflix and Walmart seek candidates with artificial-intelligence skills Wall Street Journal
📻 QUOTES OF THE WEEK
Perfection is when there’s nothing left to take away.
Leonardo da Vinci, allegedly (source)
Few universities are reading the moment correctly. Generative Al ought to lead to a wholesale reinvention of what we teach and how we teach it, not to mention how we assess it.
Instead, there's an admission that change is in the air, quickly followed by an attempt to minimize it
🏗️ FOUNDATIONS & CULTURE
Two good AI explainers, one not technical and the other, very
Explained: The conspiracy to make Al seem harder than it is! by Gustav Söderström, co-founder of Spotify (1:30:00) Spotify
An observation on Generalization, with Ilya Sutskever co-founder and Chief Scientist of OpenAI (57:20) Simons Institute, YouTube
Should Computers Decide How Much Things Cost? The Walrus
How AI-powered pricing improves margins and protects consumers Venture Beat
related, Hypertargeting at Scale The By Product, Substack
Tracking AI-enabled Misinformation NewsGuard
These Women Tried to Warn Us About AI Rolling Stone
Creation and Adoption of Large Language Models in Medicine Journal of the American Medical Association
Argument for medicine to build and use their own LLMs, trained on their own data; partially an effectiveness argument, and partially a financial one.
related, DoctorGPT, an open-source project with a mission to provide everyone their own private doctor Github
Why the Great AI Backlash Came for a Tiny Startup You’ve Probably Never Heard Of Wired
the CEO’s response: Taking Down Prosecraft.io Shaxpir Blog
Consulting giant McKinsey unveils its own generative AI tool for employees: Lilli Venture Beat
🎓 EDUCATION
AI in Education — The leap into a new era of machine intelligence carries risks and challenges, but also plenty of promise Education Next
ChatGPT-Wary Universities Scramble to Prepare for New School Year Bloomberg
AI 101 for Teachers Code.org, with ETS, ISTE and Khan Academy
Have not taken; two of six modules currently available
AI Assistance in Legal Analysis: An Empirical Study Social Science Research Network
📊 DATA & TECHNOLOGY
Plotting Progress in AI Contextual.ai
AI benchmarks are getting “solved” in less and less time.
LIMA: Less Is More for Alignment arXiv
related (1), Optimizing latency Hamel Huasin
Testing ways to achieve massive speed increased with llama-v2 models. The fastest, mlc, averages 117 tokens per second, versus 24.6 when using HuggingFace Transformers.
related (2), via adam, Fine-Tuning Llama-2: A Comprehensive Case Study for Tailoring Models to Unique Applications Anyscale
related (3), Better Llama 2 with Retrieval Augmented Generation (RAG) (20:48) James Briggs, YouTube
Simple synthetic data reduces sycophancy in large language models arXiv
LLMs will often repeat the user’s opinion, even when it’s wrong. This paper finetunes the model with synthetic data to reduce the sycophancy.
Flows: Building Blocks of Reasoning and Collaborating AI arXiv
REFORMS: Reporting Standards for ML-based Science Princeton University
🎉 FUN and/or PRACTICAL THINGS
AI recreates clip of Pink Floyd song from recordings of brain activity — An artificial intelligence can guess what a song sounds like based on patterns of brain activity recorded while people were listening to it New Scientist
ChatGPT for Excel Microsoft Store
Excel plug-in; but
… so hasn’t been tested thoroughly because we’re not going to use it with any real data; that said, it’s a bit pokey
Metaphor — rediscover the internet
Search engine; seems effective at finding websites pertaining to a particular topic, but less so when asked to find specific information
Skybox AI Blockade Labs
AI-generated 3d worlds based on user guides (drawing) and prompts
AI Courses from Google (free)
A new AI app lets users ‘text’ with Jesus. Some call it blasphemy. Washington Post
🧿 AI-ADJACENT
The design trends forged by AI Decode Magazine
01. Generative Latency
02. Datamosh walked before NeRF could run
03. Infinite Visuals
Posting this mostly as an excuse to share one of our favorite LIDAR videos, from 2008: House of Cards (4:34) Radiohead, YouTube