
Live 📿
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Live 📿
@LiveMatrixCode
Building Evidary: AI policy → Verifiable Evidence → Traceability → Guardrails | ML & AI Engineer + Agent Orchestrator | Philosopher || #Autistic ASF!





The paper I’ve been most obsessed with lately is finally out: nbcnews.com/tech/tech-news…! Check out this beautiful plot: it shows how much LLMs distort human writing when making edits, compared to how humans would revise the same content. We take a dataset of human-written essays from 2021, before the release of ChatGPT. We compare how people revise draft v1 -> v2 given expert feedback, with how an LLM revises the same v1 given the same feedback. This enables a counterfactual comparison: how much does the LLM alter the essay compared to what the human was originally intending to write? We find LLMs consistently induce massive distortions, even changing the actual meaning and conclusions argued for.


This is a man who has been haunted since childhood and built a billion dollar company as a side effect of trying to make the haunting stop.









I spoke to Anthropic’s AI agent Claude about AI collecting massive amounts of personal data and how that information is being used to violate our privacy rights. What an AI agent says about the dangers of AI is shocking and should wake us up.














