It *could* technically be unrecognisable blend of faces with infinitesimally small contributions from the input data. But it would look average and suspicious…
ETHICS
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Fake AI-Generated Biography Floods Amazon With Misinformation
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Apparently I have an unauthorized biography that is 100% made up AI stuff, 118 pages of looping & repeating vagueness without any true facts. Just my official school biography used as a prompt. It manages to be both insane and boring. Amazon is getting completely overwhelmed.
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Training AI to Forget and Forgive Optimally
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It should be easy enough to train an AI to also forget and forgive. Maybe there's even an "optimal" amount of forgetting that we should all aim for, perhaps with help.
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Understanding True AI System Capabilities and Their Uncertainties
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It is really hard to know the true capabilities of AI systems. There are no instructions. No one knows what is in the training data (even the AI labs don’t know the content of all the web pages, articles & books). And variability in prompts, seeds, and versions adds randomness.
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Google funding Creative Commons raises transparency concerns
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At the time, Google was (and likely still is) funding Creative Common. Lots of irregularities in their yearly reporting to cover up current funding sources… Anyone have the courage & patience to dig into it?
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Criticism of intelligence measurement understanding
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Someone hasn't read "On the measure of intelligence"…
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AI Likeness Theft: Why Real Data Beats Pure Generation
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To replies asking: "Why did they steal her likeness rather than generating someone from scratch?"
— Alex J. Champandard 🌱 (@alexjc) 9 mars 2024
Because AI alone does not breach the uncanny valley. It has to be example-based to be anywhere close to trustworthy. (Ab)using real people and real content will remain necessary. https://t.co/LnUutk8n2yTo replies asking: "Why did they steal her likeness rather than generating someone from scratch?" Because AI alone does not breach the uncanny valley. It has to be example-based to be anywhere close to trustworthy. (Ab)using real people and real content will remain necessary.
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Gemini Privacy Warning Regarding Human Review of Conversations
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Jokes aside, now Gemini warns you not to write anything sensitive or private because your conversations may be reviewed by real people.
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AI Interpretability: Training Data Uncertainty and Model Justification
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Was it in the training set? Who knows.
Did the color of the brick really suggest that it was Georgetown and not Philly? I have no idea.
Do the shrubs suggest the US and not Europe? Maybe. Asking the AI how it thought is a request for it to justify, not truth. The mystery remains -
Claude Identifies Georgetown House: Real Understanding or Hallucination?
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Example of why working with AI both so impressive and so challenging: I show Claude a picture of a house in Georgetown that shouldn't be in its training set. It nails it (GPT-4 does too) I ask it why Georgetown? Its answers seem great, but could all be hallucinated justification