I am not optimistic that folks will rip off the band-aid. Instead, leading platforms will gradually increase validation requirements, and users will gradually increase their tolerance to fraud attempts, while encrypted messaging platforms become more important
SECURITY
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AI makes litigation asymmetric via ChatGPT legal threats
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AI will also make litigation asymmetric. One person with ChatGPT and a grudge will file more legal threats than a firm used to in a year. And most targets will settle because AI also knows your cost of fighting.
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Protecting enterprise data shared with AI systems
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He publicado un episodio en @ivoox
: "¿Estás protegiendo bien los datos que compartes con la IA en tu empresa? #podcast -
Model Updates, Prompt Testing, Edge Cases and AI Security
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Other questions: When do you update models? How are you testing your prompts? Have you tested for edge cases and biases? Can we vet the prompts you use? What happens if an AI service goes down? How are you working within context windows? How are you dealing with prompt injection?
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Differential Privacy Applies to Samples Not Distributions
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no bc differential privacy applies to samples, not distributions
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France Deploys Sovereign AI Agents for Document Processing
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France's public servants process over 100M documents a year. Now, they’re getting help from #sovereignAI agents that run securely on national infrastructure. Built by @ThinkDeepAI
, these agents analyze PDFs, scanned images, legal codes, and videos, saving 1,000+ -
Obfuscating AI Models While Maintaining Performance
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yeah. people will start finding ways to obfuscate them without harming performance
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Reverse Engineering Training Data From Language Model Weights
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NEW RESEARCH: Approximating Language Model Training Data from Weights ever wonder how much information is available in an open-weights model? DeepSeek R1 weights are 1.2 TB… what can we learn from all those bits? our method reverses LLM finetuning to recover data:
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Secure AI Adoption: Enterprise Priorities and Data Privacy Concerns
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Businesses are increasingly turning to secure AI as concerns grow around security, costs, and accuracy. In a recent survey, 71% of our community cited data privacy as their top concern when adopting AI. Explore why secure AI is becoming the top choice for enterprises and how
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Signal Refuses AI Integration to Protect User Privacy
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'Meredith,' some guys ask, 'why won't you shove AI into Signal?' Because we love privacy, and we love you, and this shit is predictable and unacceptable. Use Signal