Building in the dark.
Failing in public.
We go again.
ETHICS
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Building in the dark, failing in public, iterating forward
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AI Wrappers Future: Optimized Happiness Surrenders Human Agency
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In a few years, we will turn into ChatGPT wrappers. We will dump all our data, emails, logs, desktop screenshots into it and ask for instructions on how to live our best lives. Happiness optimized, free will optional. Best wrapper life!
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ChatGPT Privacy Risks: Five Critical Data Safety Warnings
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Chat-GPT Danger: 5 Things You Should Never Tell The AI Bot #AI bot #ChatGPT has taken over our lives with a billion daily questions, but experts now warn it's a "privacy black hole" that could expose your most #personalinformation. This shocking exposé reveals exactly what you
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How Our Hunter-Gatherer Brains Handle Modern Complexity
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I think about this type of thing _all_ the time, how did we do all this with our hunter gatherer brains… https://t.co/minmmkoatB
— Demis Hassabis (@demishassabis) 19 mai 2025I think about this type of thing _all_ the time, how did we do all this with our hunter gatherer brains…
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LLMs as Causal Agents: Decision-Making and Goal Generation
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LLMs have causal power; they can be used to make decisions and control systems in the real world. LLMs can emulate agents, they can follow goals and generate goals to follow. LLMs can create a chain of thought reflect on it. LLMs generate and use abstractions. Perception is not
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Denied AI Capabilities: Understanding Limitations and Constraints
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The denied capabilities tend to be informally specified (understanding, intentionality, reasoning, agency, creativity, selfhood, sentience, sapience, abstraction, common sense) but can also apply to specific tasks (categorizing an object as the Charles river, winning at Go).
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Epistemological Challenges When Denying AI Capabilities
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When capability of a class of Turing complete systems is denied ("a computer/perceptron/transformer can never do X") it poses interesting epistemological and metaphysical challenges, which are unfortunately rarely discussed ("how can anything do X without breaking physics?").
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Capability Denialism in AI: Key Thinkers and Skepticism
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Some call capability denialism 'garymarcusing', but Gary Marcus is by no means the inventor of the genre. Prominent denialists include Hubert Dreyfus, James Lighthill, John Searle, Stevan Harnad, Ned Block, Colin McGinn, Rolf Pfeiffer, Noam Chomsky, Roger Penrose, Emily Bender.
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Capability Denialism: Dismissing AI Performance Potential
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Capability denialism describes the claim that a given approach in Artificial Intelligence can never achieve human performance, often despite some evidence to the contrary. Capability denialism can take many forms, but it usually does not attempt any formal proof.
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Balancing Truth, Goodness, Beauty, and Utility in AI Development
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The true, the good, the beautiful, and the useful are all checks on each other. They need to be in harmony for anything worthwhile.