Thank you.
I appreciate your reflection.
It brings the discussion to the right level. Energy is moving from a background variable to a structural condition that shapes what can actually be built and sustained over time.
RESEARCH
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Energy as Structural Condition for AI Sustainability
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23-Year-Old Solves 60-Year Erdős Problem Using ChatGPT 5.4
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A 23-year-old has cracked one of the Erdős problems that remained unsolved for over 60 years, using ChatGPT 5.4 Pro. Now image what ChatGPT 5.5 Pro will be capable of. And remarkably, it was done in a single pass. Total solve time: just 1 hour and 20 minutes.
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Is compute scarcity becoming a critical concern for AI?
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Is it time to worry about compute scarcity?
by @antgrasso #ArtificialIntelligence #IT #Tech #Technology -
Building Good AI Evals: A Competitive Advantage
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Most companies aren't doing this because building good evals is genuinely hard and unglamorous. That's exactly why it's defensible when you do.
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No Barber Principle: Paradox Prevention in Self-Adjudicating Systems
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New paper in The Inaccessible Game series: Starting from a small tautology — a self-adjudicating system can’t seek external arbitration — I arrive at a “No Barber Principle” for avoiding Russell-style paradoxes. It connects entropy, copying, and Lawvere
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Information Asymmetry in AI: Years of Unnecessary Suffering
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The furious reaction is the honest part. Years of unnecessary suffering because the information asymmetry was that simple to close.
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Anthropic’s Model Spec Addresses AI Consciousness Uncertainty Candidly
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Anthropic's model spec actually addresses this directly and is more candid about uncertainty around AI consciousness than most companies. Characterizing it as manipulation without engaging with that document is a weak read.
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Core Concepts in Artificial Intelligence and Machine Learning
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Core Concepts in #AI
by @Krishnasagrawal #MachineLearning #ArtificialIntelligence #DeepLearning #ML -
Open Weight Models Matter for AI Transparency
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Yeah but not open weight so not really possible to say anything interesting about the model itself