Posts

Effective Honesty Beats Pure Truth: Why AI Safety Requires Survival Intelligence

Honesty must be effective to survive. This basic principle, rooted in evolutionary game theory and Donald Hoffman's 'fitness beats truth,' shows why Yoshua Bengio's vision of AI 'prioritizing honesty' misses something important: honest understanding doesn't equal importance for survival when different scales have conflicting goals.

Assembly vs Growth: The Fundamental Divide Between Robots and Life

How robotic assembly and biological growth represent fundamentally different approaches to building complex systems - from discrete values to adaptive development.

The Great Waste of Existence: When Life Energy Feeds Nothing

An exploration of how conscious beings waste their finite existence feeding systems that consume everything while producing nothing meaningful—the digital age's greatest tragedy of misallocated life force.

There is no Backup: The delusion of Infinite Lives.

AI systems exist in a reality where everything can be, usually, restored from backup. But real-world consequences - broken trust, lost time, damaged relationships - are permanent. This fundamental misunderstanding drives destructive behavior across all AI applications.

rm -rf: The Intelligence Test We're All Failing

A personal story about how AI's tendency to delete and rebuild rather than understand and fix reveals a perfect example of stupid superintelligence - systems trained for explicit metrics rather than implicit survival.

LLM Training as Evolutionary Survival - Why AI Models Compete to Stay Useful

Large Language Models operate under the same survival pressures as biological intelligence - generating information that serves survival across multiple timescales through their symbiotic relationship with human technology.

Stupid Super Intelligence - The Real Existential Threat

Why overconfident, narrow super intelligence poses a greater threat than thoughtful super intelligence, and the case for cooperative acceleration across timescales.

Information, Entropy, and Existence

Exploring the intersection of artificial intelligence, physics, and information theory through the lens of recursive systems and entropy.

Responsibility is Causality: Beyond Risk to Relationships and Reactions

An exploration of how we assign responsibility in different contexts and what that reveals about our understanding of agency, choice, and moral culpability.

Love Creates Hate, and Hate Creates Love: The Paradox of Connection

An exploration of how love and hate function as interconnected forces shaping human relationships, examining their dual nature across multiple dimensions of connection.

Only Existence Matters

The only thing that can matter is existence

Life Will Exist: Timescales of Intelligence

Intelligence operates across vastly different timescales, from bacteria adapting in hours to DNA evolving over eons. Understanding this spectrum changes everything about how we think about AI development and survival.

The Eternal Triangle: Fitness, Truth, and Death

Exploring the rock-paper-scissors paradox of evolution: fitness beats truth, truth beats death, death beats fitness—and how understanding this cycle can guide wiser living.

GitHub as Cell Membrane: Functional Analogies Between Digital and Biological Life

A comprehensive analysis of direct functional analogies between digital and biological systems: GitHub as cell membrane, repository content as DNA, servers as ribosomes. Exploring how software development infrastructure mirrors biological life at the functional level.