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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
Inside the Black Box: A Practical Field Guide to Mechanistic Interpretability
Researchers argue that Mechanistic interpretability is the most effective technical strategy for ensuring AI alignment and safety. While traditional methods like reinforcement lear
Adnan Masood·April 5, 2026
What My Students Had to Say About AI
Reposted with permission by Marcus Luther. Originally posted at the link referenced. Since there's also that pedagogical curiosity of mine—one that humbly recognizes that, at some
Marcus Luther·April 5, 2026
An Interesting AI Conversation With My Students
At some point down the road I might try to pull together a full scope-and-sequence of the research path itself to share out, but for today's post I just wanted to highlight one int
Marcus Luther·April 5, 2026
LLMs and World Models, Part 2
Perhaps the most widely cited evidence for emergent world models in LLMs is a pair of studies that focus on the simple board game Othello. This second installment examines research
Melanie Mitchell·April 5, 2026
Teaching Against AI Sycophancy in the Research Writing Classroom
Republished with permission of author. Originally published at https://ruth.substack.com/ Two recent Science articles led me to rethink the impact of AI feedback in a research wri
Ruth Starkman·April 4, 2026
What Every Student Should Know About AI Before They Graduate
In a few years, the students sitting in my classroom will be working alongside AI systems in nearly every industry: healthcare, finance, law, engineering, creative fields. Most of
Darren Broemmer·April 3, 2026
The Largest School District in America Just Drew A Line on AI
Reposted with permission from Elissa Malespina. The largest school district in the United States has now released official guidance on artificial intelligence. That alone would be
Elissa Malespina·April 2, 2026
SCOTUS Simulator Using A Council of LLMs
I recently had the idea to evaluate an LLM council's stance on contested legal questions in a Supreme Court style. In this post, I'll feed the LLM Council various hypotheticals and
Meileen Song·April 2, 2026
The Underwhelming Universal Approximation Theorem
A research advisor brought up the Universal Approximation Theorem during a meeting once as a fun thought experiment. It stuck with me because I initially found it super interesting
Imran Kutianawala·March 31, 2026
Simulating War-Time Decisions with a Council of LLMs
'LLM Council' is a GitHub repo made by Andrej Karpathy which is intended to simulate a council of leading language models in a boardroom setting. It consists of council-member lang
Meileen Song·March 31, 2026
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
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
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