Analyzing UFO Sightings Databases with Generated Code
Using generative AI and natural language processing on multiple UFO sighting databases, we finally have the tools to answer questions like Hynek first posed in 1972
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Replicating the Princeton PEAR Lab Plant RNG Experiment
Can plants affect the ordering of random numbers? Can they bend probability to give them an edge in their growth?
8 min read
Can plants affect the ordering of random numbers? Can they bend probability to give them an edge in their growth and evolution?
Note: This article is a repost from my original blog in 2021 and was featured in Hackaday.
My favorite experiments are the ones that are conceptually simple but have astounding implications. I learned about this one while watching Close Encounters of the 5th Kind, the newest documentary by ufologist Dr. Steven Greer. The film is about a protocol for contacting alien intelligence. As intriguing as that might be, what really sparked my interest was a short clip about 50 minutes in.
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Lessons Learned Building a UFO Classifier
My first approach to analyzing 152,000 UFO sightings had a 34% accuracy rate. I almost published it anyway. Here's what went wrong with semantic embeddings, why I pivoted to LLM extraction, and the methodology that actually worked.
Embracing Reality: There's No Breaking Out of This Simulation
If we exist within a simulation, we cannot "break out" of it. This isn't a practical limitation—it's a logical impossibility. Instead can we use random behavior to let our simulators know we're on to them?
Building a UAP "Dog Whistle": Exploring the Skywatcher Phenomenon
Building our own UAP 'dog whistle' device using a Raspberry Pi Zero, battery, and custom Python code. Inspired by Skywatcher's tech, we're sharing the complete DIY guide.
On Controlling Devices with Your Mind - Part II
Is it possible to control a device with your mind alone? Check out my journey exploring the science behind mind-matter interaction in this two-part series.