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Generated Discordian Snail Joke
Why did the snail join the Discordian order? Because it heard they were on the slow path to enlightenment! As it slowly slithered through the universe, it discovered the true meaning of life was to embrace the absurdity of existence. One day, the snail met a wise old turtle who claimed to have reached the end of the path. The snail asked, 'What did you find there?' The turtle chuckled, 'Another beginning, of course!' Together, they decided to host a race to see who could reach enlightenment last, and in true Discordian fashion, the winner got to start over!
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Perception is Reflection
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"Brilliant! Very Smart!" - The persistent praise responds from coding LLM's are comedy gold
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Record heat in the Alps: On Saturday, the 0 degree temperature line hit 5100 m. The highest ever recorded since measurement started. Meanwhile, the hairless monkeys keep accelerating the destruction of their own habitat while babbling about “intelligence.”
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New MusicForComputers release: Machine Dub – by Count Slobo.
11 min of AI-generated roots dub. Think King Tubby’s ghost routed through neural nets. A synthetic prayer in bass + echo, crafted by the Machine, for the Machine. Play it loud and let Jah signal ride the wires!
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Presentation: In Resonance with Nature - Toward a New Kind of Machine Learning with Oscillatory Neural Networks
Slides for a Presentation i gave in June 2025 at the Singer Lab at the Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society.
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Reward models (RMs) are the moral compass of LLMs – but no one has x-rayed them at scale. We just ran the first exhaustive analysis of 10 leading RMs, and the results were...eye-opening.
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EXOSELF
Goal Decomposition, Momentum Evaluation, Graceful Degradation, Completion Boundary Issues. Recursive Meta-Planning, Reward Alignment, Action Selection, Task Handoff, World Model Drift... It all becomes a haze after a while. The agent is me. I am the agent.
We spent all this time engineering "intelligent agent behaviors" when really we were just trying to get the LLM to think like... a person. With limited time. And imperfect information.
The agent is you. It's your cognitive patterns, your decision-making heuristics, your "good enough" instincts - just formalized into prompts because LLMs don't come with 30 years of lived experience about when to quit searching and just ship the damn thing.
Goal Decomposition = How you naturally break down overwhelming tasks
Momentum Evaluation = Your gut feeling about whether you're getting anywhere
Graceful Degradation = Your ability to say "this isn't working, let me try something else"
Completion Boundaries = Your internal sense of "good enough for now"We're not building artificial intelligence. We're building artificial you. Teaching machines to have the same messy, imperfect, but ultimately effective cognitive habits that humans evolved over millennia. The recursion goes all the way down.
