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Artwork for Cybersecurity Tech Brief By HackerNoon
Cybersecurity Tech Brief By HackerNoon · October 20 · 9 min

Aipocalypse: Winning the AI/SI Race is Surviving It

This story was originally published on HackerNoon at: https://hackernoon.com/aipocalypse-winning-the-aisi-race-is-surviving-it. The AI/SI race is not just about winning, but about arriving in a future with human agency, sovereignty, and trust intact. Check more stories related to cybersecurity at: https://hackernoon.com/c/cybersecurity. You can also check exclusive content about #cybersecurity, #artificial-intelligence, #super-intelligent-ai, #ai-apocalypse, #machine-learning, #requirements-management, #ai-coding-agents, #ai-requirements-management, and more. This story was written by: @paulkrause. Learn more about this writer by checking @paulkrause's about page, and for more stories, please visit hackernoon.com. The AI/SI race is not just about winning, but about arriving in a future with human agency, sovereignty, and trust intact. We need to build the rails of AI safety, including local by default, human authority, fail closed, auditable, neutral, and no surveillance business model, to ensure that the engine of intelligence runs safely.

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This story was originally published on HackerNoon at: https://hackernoon.com/aipocalypse-winning-the-aisi-race-is-surviving-it.
The AI/SI race is not just about winning, but about arriving in a future with human agency, sovereignty, and trust intact.
Check more stories related to cybersecurity at: https://hackernoon.com/c/cybersecurity. You can also check exclusive content about #cybersecurity, #artificial-intelligence, #super-intelligent-ai, #ai-apocalypse, #machine-learning, #requirements-management, #ai-coding-agents, #ai-requirements-management, and more.

This story was written by: @paulkrause. Learn more about this writer by checking @paulkrause's about page, and for more stories, please visit hackernoon.com.

The AI/SI race is not just about winning, but about arriving in a future with human agency, sovereignty, and trust intact. We need to build the rails of AI safety, including local by default, human authority, fail closed, auditable, neutral, and no surveillance business model, to ensure that the engine of intelligence runs safely.

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