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The SAIRC Discussion Forum is a space for AI enthusiasts to share what they're thinking about. No formal research paper required. Posts can be submitted anonymously and span a wide range of formats:

Recent Posts
Mechanistic Interpretability and the Curses of Scaled Networks
Mechanistic interpretability is the practice of reverse-engineering deep-learning systems to understand their inner algorithms. If we can figure out what a neural network is actual
Joshua Shen·March 29, 2026
What Students Want Teachers to Know About AI
Reposted with permission from original author(s). Back in December I sat down with a handful of HS students on a couple different occasions to talk about AI — their thoughts, attit
Stephen Fitzpatrick·March 23, 2026
In an AI World, What's the Work?
Reposted with permission from original author(s). More than a decade ago, immersed in research on competency-based education, I read Leaders of Their Own Learning, a comprehensive
Eric Hudson·March 19, 2026
AI Shouldn't Be Doing More Philosophy Than Students
Reposted with Permission from Mike Taubman and AI Waypoints. Last weekend I found out that AIs can now reincarnate. This got me thinking about both the high school juniors I teach
Mike Taubman·March 12, 2026
Labor Market Impacts of AI: A New Measure and Early Evidence
Full credit goes to the original author, linked below. All blog posts were reposted either with permission of the author, or by anonymous submission by SAIRC members like yourself.
Anthropic ·March 5, 2026
There's No Token for the Way the End of High School Feels
Reposted with permission by Mike Taubman. Today in our AI literacy class, Scott Kern and I helped students open the hood to see how AI works, one pillar of the AI Driver's License
Mike Taubman·February 27, 2026
Painless Activation Steering (PAS): Automated, Lightweight Post-Training for LLM Behavior
Reproduced with permission from Sasha Cui We're releasing "Painless Activation Steering (PAS)," a fully automated approach to steer large language models after training—without mo
Sasha Cui·February 14, 2026
(When) Is Mechanistic Interpretability Identifiable?
I recently finished a paper, "Characterizing Mechanistic Uniqueness and Identifiability Through Circuit Analysis," alongside a group of three others and a mentor. This post discuss
Imran Kutianawala·February 14, 2026
Mamba's Memory Problem
Full credit goes to the original author, linked below. All blog posts were reposted either with permission of the author, or by anonymous submission by SAIRC members like yourself.
LLMs Research·February 2, 2026
What Exactly Are Diffusion Models?
Full credit goes to the original author, linked below. All blog posts were reposted either with permission of the author, or by anonymous submission by SAIRC members like yourself.
Vizuara AI·December 23, 2025
Would a Language Model Push You Off A Bridge? Pt. 2
Utilitarianism, to recap, is a consequentialist decision-making framework which states that the best actions produce the most 'pleasure' for the greatest number of people. Deontolo
Imran Kutianawala·December 2, 2025
How to Use Deep Learning for Flood Forecasting
Reposted with permission from Devansh. Following is an excerpt from my article, "How Google Built an Open Source AI to Provide Accurate Flood Warnings for 460 Million People." The
Devansh ·December 1, 2025
What is Concept Drift and How to Solve It
Reposted with permission from Devansh. Thanks to their versatility, Neural Networks are a staple in most modern Machine Learning pipelines. Their ability to work with unstructured
Devansh ·November 11, 2025
Would a Language Model Push You Off A Bridge?
In the context of this post, 'utilitarianism' is a consequentialist decision-making framework which operates under the idea that the best action produces the most pleasure for the
Imran Kutianawala·November 5, 2025
Comparison of Convolutional & Feed-Forward Architectures on MNIST Digit Classification
I was unable to use Google Colaboratory for quite a bit, so it took me much longer than necessary to make this post. However, I'm finally able to log back in! This is the experimen
Meileen Song·October 8, 2025
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