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 SinghalEverything you need to know about AI engineering from a machine learning engineer at Google.
| Platform |  | Pricing | Freemium |
|---|---|---|---|
| Publishes | Twice weekly | Issues | 107 |
| Subscribers | Read | societysbackend.com |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
How AI companies get around data regulation
Many AI applications rely on personalization to be useful for a user. With rising AI competition around the globe, we’ve seen many countries enact localization data privacy regulations.These regulations restrict access of personal informati...
Why Medical AI is Garbage, Realistic Perspectives on DeepSeek Models, Understanding Reasoning Models, and More
An AI engineer's must-reads for 1/31/25
Open AI beats OpenAI, Understand Scaling Laws, Commerce in the Age of AI Agents, and More
Society's Backend Reading List 01-24-2025
Multimodal Biometric Authentication, Noteworthy AI Research Papers of 2024, 5 Common Mistakes to Avoid When Training LLMs, and more
Society's Backend Reading List 01-17-2025
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Authors
The writers behind this newsletter.
ML infra engineer at Google. I teach software engineers about AI. Learn ML for free at mlroadmap.io.
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.
Writing at the intersection of software engineering and AI. Currently Staff AI Engineer at Pulley, previously CTO at Crowdmade, Computer Science at Stanford.
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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