Schneier at SRI

By a sibilant intake of breath

Category: TechnologySecurity

Tags: AI · Machine Learning · Data Privacy

At SRI Bruce Schneier presented integrous systems design, arguing AI must provide availability, confidentiality and verifiable correct behaviour. I describe Apertus, a Swiss LLM built from filtered public data with machine-readable opt-out and training data integrity to meet Swiss data protection and EU AI Act transparency, and I’ll compare it to Gemini and ChatGPT and note Schneier’s transpositio

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Rolly's Take

For the seeker of clarity in a tangled digital landscape, this blog resonates deeply. It speaks to those who ponder the intersection of ethics and technology, craving systems that not only function but do so with integrity and transparency. Here, the complexities of AI become a thoughtful exploration, inviting one to engage with ideas that matter, not just for today but for the future we shape.