(agree but the caveat is "transmission fails -at the tested size- 10-11k examples". given that it works on same distribution, my null hypothesis would be to expect this to work for more deviant distributions with say 6-9 more OoMs of steganized data)
ETHICS
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DeepSeek’s $5.6M cost report and potential media manipulation tactics
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yes fair and there are many possible motivations, stated and unstated. i think one of the "tells" i picked up on was how deepseek reported the $5.6m number knowing exactly how trad media and linkedin dumbs would run with the story. the chance of psyop is not zero.
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Multimodal LLMs Enable Unprecedented Privacy Risks Through Recording Mining
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The problem is not just the proliferation of devices that let you record people without their knowledge, but the fact that multimodal LLM let you use recordings in ways that neither law not society anticipated. Everyone has an easy way to mine hours of
footage. No forgetting. -
Claude visualizes Mistral AI environmental impact two ways
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I gave Claude the Mistral report on its AI's environmental impact and the prompt: "visualize this in two different ways, one that makes the numbers appear positive, one that makes them seem negative, using vivid comparisons" (I then had it do some error checking & corrections)
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Deploying Powerful AI Models: Chatbots and APIs Safety
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Valid points! And you’re comfortable with businesses releasing these powerful models in chatbots or APIs?
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Author Removes Em-Dashes Due to AI Concerns
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A publisher friend just told me an author removed all em-dashes from her manuscript because of AI. I follow several linguists on TikTok and Instagram, plus have a lot of friends in the writing space. We’re just barely scratching the surface on the impact of AI on everyday
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When Synthetic Data Diverges from Reality: Implications Explored
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What happens when data breaks from reality?
— SAS Software (@SASsoftware) 23 juillet 2025
In The Shape of Synthetic Data, Dietmar Offenhuber joins Pondering AI host Kimberly Nevala to explore the speculative nature of synthetic data, the materiality of information, and why meaning isn't always digital—or even statistical.… pic.twitter.com/YpYNDIbIofWhat happens when data breaks from reality? In The Shape of Synthetic Data, Dietmar Offenhuber joins Pondering AI host Kimberly Nevala to explore the speculative nature of synthetic data, the materiality of information, and why meaning isn't always digital—or even statistical.
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API and Chatbot Risks: Accessibility Versus Safety Concerns
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All these risks are unfortunately in my opinion much more prevalent with APIs and chatbots (non-open weights) because they are way easier to use by a larger number of people (ex chatgpt has hundreds of millions of users with very little limitations of what you can do with it and
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American AI Community Must Embrace Open-Source Science
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It’s time for the American AI community to wake up, drop the "open is not safe" bullshit, and return to its roots: open science and open-source AI, powered by an unmatched community of frontier labs, big tech, startups, universities, and non‑profits. If we don’t, we’ll be forced
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Subliminal Learning: Hidden Signals in Language Models
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Subliminal Learning: Language models transmit behavioral traits via hidden signals in data Cloud et al.: https://
arxiv.org/abs/2507.14805 #ArtificialIntelligence #DeepLearning #MachineLearning