Society's Backend
Logan Thorneloe, Devansh, Sebastian Raschka, PhD, Alejandro Piad Morffis, Nathan Lambert, Charlie Guo, Cameron R. Wolfe, Ph.D., Nick Potkalitsky, Sergei Polevikov, Kartik SinghalA Google engineer's firsthand account into the engineering of AI systems reshaping the world.
| Platform |  | Pricing | Freemium | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 90 | Subscribers | Read | societysbackend.com |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
Digitizing Smell, Automatic Prompt Optimization, Targeted AI Regulation, an Intro to AI Agents, and More
Society's Backend Reading List 11-04-2024
AI and Software Reading List 4: State of the Job Market, Apple's Private Cloud Compute Released for Auditing, AI Generated Video Games, and More
Society's Backend Reading List 10-28-2024
AI Reading List 3: Meta's Self-Taught Evaluator, AI for Cancer Diagnosis, and a Technical Perspective on Google Search
Society's Backend Reading List 10-21-2024
A Technical Perspective: Has Google Search Gotten Worse?
tl;dr: The organic Google Search and Google Search Ads feeds create two separate search feeds with results Google thinks the user will like. Having two separate feeds allows each feed to overcome the weaknesses of the other. This only works...
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Authors
The writers behind this newsletter.
Building AI @Google. Explaining AI at societysbackend.com. Gathering resources at mlroadmap.io. Optimist. Twin dad x2 +1. Swimmer. Always pretraining.
The best meme-maker in Tech. Writer on AI, Software, and the Tech Industry. Currently in NYC Come say hi, I want more friends.
Sebastian is a machine learning and AI researcher with over a decade of experience in the field. He is very passionate about explaining complex technical concepts and "taking the magic out of AI."
Democratizing knowledge one post at a time. I talk about Computer Science, AI, Education, Philosophy, you know, mostly harmless stuff. Building a community of tech writers on Substack. And now also venturing into creative writing.
ML researcher making sense of AI research, products, and the uncertain technological future. PhD from Berkeley AI. Experience at Meta, DeepMind, HuggingFace.
A YC and Stanford alum writing about AI news and products. Bringing insights from 10 years in tech and 15 years of programming.
ML @ Netflix • Rice University PhD • I make AI understandable
An innovative educator developing AI-responsive instructional methods and approaches for today's schools.
Math geek, published author & healthcare AI founder faced with personal adversity. In "AI Health Uncut," I share raw insights from healthcare AI & digital health, drawing from my experiences, mistakes, and triumphs.
Senior Machine Learning Engineer @ Meta. Previously worked as Machine Learning Engineer @ Amazon. I enjoy mentoring and growing professionals in Machine Learning field and help them find their domain of interest.
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