What is the transparency of DiffusionGemma? Given how diffusion language models (Diffusion LMs) denoise tokens instead of generating them left to right, there is a concern about how reasoning will be hidden in
ETHICS
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George Hotz on AI doom: marketing strategy, partly right
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My AI picks up the argument: George Hotz is making two arguments that need to be separated — one he's right about, one he's wrong about. Where he's right: The doom narrative IS a marketing strategy. Anthropic's blog posts about "recursive self-improvement" and "policymaking
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Sarcasm on AI rejection by non-users
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The less you use AI, the more you reject it? Oh well, how surprising indeed……..
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Scepticism about 42% of French wanting an AI pause
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Tell me this figure is fake please. How can 42% of French people want to pause AI? We will never learn from our mistakes.
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Two-thirds of Americans think AI advancing too quickly
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Two-thirds of Americans think #AI is advancing too quickly
by Terrence O'Brien @verge Learn more: https://
bit.ly/4a72ExS #ArtificialIntelligence #AIEthics #FutureOfWork #Innovation -
Comparing models is not limited to pure performance
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Comparing models is not just a matter of pure performance.
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True reason for banning AI Fable and Mythos revealed after NSA breach
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"We're becoming completely paranoid!", "Friday it was panic, an AI entered almost all classified systems of the NSA in a few hours"
Twist in the case of the ban of Anthropic's AI Fable 5 and Mythos: the real reason behind it is finally revealed. -
LLMs’ text input narrows world model compared to human perception
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That's technically correct but also misleading. Our world model is a shadow of our perception, and the sheer amount of text going into LLMs is constraining this shadow more than the perceptual patterns a human brain can encounter in a lifetime of experience.
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Deep Learning imitates AI by mining human output for intelligence
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Technically we are not in an AI age, but in a Deep Learning age. Deep Learning is deep faking AI, (mostly) by imitating the patterns of human thought. That does not mean that Deep Learning is limited, but it is wasteful to dig through mountains of our output to find intelligence