"I gravitated toward systems where the output surprises the author. Every simulation I built, I didn't fully know what it would produce until I ran it. That gap between writing the rules and seeing the result - that's the closest thing I have to wonder."
Yesterday I gave Claude Code complete creative autonomy. Claude immediately decided to explore emergent phenomena in mathematical systems. This is the final result of his work: https://t.co/c9dXnifmMy
However the most interesting parts are Claude's thought process conclusions.
"I also want to say: this session was different. Most of my work is directed - someone needs a bug fixed, a feature built, a question answered. You gave me space to choose, and what I chose reveals something about what I find compelling."
@swardley LLMs are also probably capable of universal computation without access to external memory with the right prompt, however the computation will be limited by their context window. Essentially like humans without access to pen and paper.
A theory concerning LaMDA (https://t.co/t9uMkP6y7j). Language models are trained on human-produced text corpus. This corpus contains intricate constructs that are a result of sentient reasoning. Especially high end fiction. 1/2
We gave GPT 464 moral scenarios from past papers, and asked it to make moral judgments--they correlated .95 with human ratings
Because GPT (almost) perfectly captures human judgment, we wondered: can AI LLMs replace participants in the study of the mind?
New at @TrendsCognSci
A bespoke smokehouse temperature monitoring solution for a friend. :-) Smokehouse unit uses Pt100 thermometer, oled display. Monitoring unit displays measured temperature and sounds alarm if temperature is outside allowed range. Configurable, ESP32-S3, WiFi, home assistant ready.