
On Systems, Incentives, and Machine Intelligence
If you're new here, I'd recommend visiting my about page to see what this site is about. I expect and welcome criticism from researchers, industry professionals, or anybody else, regardless of background or field of study. My goal is to be proven wrong, so that I can correct my assumptions.
My Best Work
Street-Legal Physical Adversarial Rim for License Plates
AI Safety, Interpretability, and Insights from Biology
Can Less Democracy Save Democracy?
Yep, I’ve finally lost it and decided to dip my toe into the radioactive cesspool of American politics. This is a terrible idea. Let’s do it.
Yep, I’ve finally lost it and decided to dip my toe into the radioactive cesspool of American politics. This is a terrible idea. Let’s do it.
Latest
- The Leaky AI Safety PipelineMany programs and fellowships exist in the AI safety community to get people interested in AI safety and build up their technical knowledge. However, there remains a substantial difficulty in getting from knowledgeable to a credible researcher with published and peer-reviewed output. I share my own guidelines to breaking out as an independent researcher and argue for an online resource that matches aspiring researchers with collaborators and presents guides from successful established researchers.
- ChatGPT-integrated Smartshell
I recently started playing with the idea of a “smart” command-line shell integrated with ChatGPT and implemented in Python. The code for my rudimentary implementation is freely available here, and should be simple enough to install and run on a Linux system.
- XBee Protocol Design (from scratch!)
This post was entirely AI generated by Anthropic AI’s Claude. I did this because I’ve gotten very busy with college and my research projects, and I’d rather put out AI-generated content than no content at all. For the record, my friend is not named “Julia”; Claude hallucinated that part. I also added in some markdown formatting to make the presentation a little nicer. For those interested in prompt engineering (or those who just want to read human content), the prompt I used is at the end of the article, and has all the same information.
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