
"After writing more than one article a day for the last 23 years, I've accumulated a body of text large enough to train an AI model that could convincingly write "like me." With today's technology, it would not be difficult to build a system capable of generating opinions that sound as if they came from Enrique Dans -an algorithmic professor that keeps publishing long after I'm gone."
"We are entering an era where professionals will not just automate tasks; they will replicate their personas. A company might build a digital copy of its best salesperson or customer service agent. A CEO might train a virtual twin to respond to inquiries. A university might deploy an AI version of a popular lecturer to deliver courses at scale. In theory, this sounds efficient. In practice, it invites a form of existential confusion: If the replica is convincing enough, what happens to the person?"
"The fascination with cloning ourselves digitally reflects the same temptation that has driven automation for centuries: outsourcing not just labor, but also identity. The difference is that AI can now replicate the voice of that identity, both literally and metaphorically. I could easily do it. Feed a large language model the millions of words I've written since 2003 - every article, every post, every comment - and you'd get a fairly accurate simulation of me. It would probab"
AI models can be trained on a large personal corpus to create digital twins that replicate voice, writing style, decisions, and habits. Startups and tools are building AI clones of employees and executives to scale tasks such as answering emails, recording videos, and delivering lectures. Such replication promises efficiency and the ability to scale individual output beyond human limits. Realistic replicas introduce existential and ethical dilemmas about identity, authenticity, and the nature of productivity when a digital version performs work on behalf of a person. The trend shifts automation from labor to aspects of personal identity.
Read at Fast Company
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