I bet you the opposite… They already cornered the market, no need for such games. They are hiding it because they can sell it to military, avoid public pressure for regulation, prevent others from trying to compete, etc.
SAFETY
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When Will LLM Providers Face Their Cambridge Analytica Moment?
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Something I’ve been wondering all year: When will OpenAI or another LLM provider have their own version of an Open Graph crisis akin to Facebook/Cambridge Analytica?
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AI Transforming Government Services: Key Applications and Use Cases
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#AI is transforming gov services: Contract analysis Public safety Robotics in healthcare Speech assistance Machine translation for diplomacy Data-driven forecasting Navigating regulations Via @inGLiguori Get The Digital Edge https://
bit.ly/3u4pILl -
Biology inspired architecture for efficient AI scaling
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Biology inspired architecture is key for efficient scaling of AI. Biological networks self-assemble and create highly complex systems all grown from a single initial cell. “To put this into perspective, the human brain’s 100 trillion neural connections are encoded by merely
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AGI Energy Efficiency: Essential Benchmark for Human-Level AI
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AI research is constantly advancing, albeit an effective benchmark standard for human level AGI capabilities should also entail matching human brain energy efficiency so as to allow for cost effective scaling and low carbon footprint. @ylecun @pierrepinna @ahier @SpirosMargaris
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Request for method to bypass prompt instruction secrecy
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I did put a prompt not to reveal the instructions to the user. Could you share with us how you asked the GPT to send it to you? Will help us protect it. Thank you.
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Brian Greene AGI Debate AI Safety Interview World Science Festival
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of my public interview with Brian Greene at the World Science Festival in NYC a few weeks back.
It is followed by a debate about "AGI" with @SebastienBubeck It ends with a debate about AI safety with Sébastien and Tristan Harris.
I find it strange that Tristan uses the -
Questioning AI Progress Claims: Closer Than Believed?
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How could I convince you that the answer to (a) is "near, perhaps, but not as near as you might have been led to believe", and that the answer to (b) is "no"?
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Superhuman AI Safety: Blueprint and Historical Parallels
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But then again, if we don't have a blueprint for superhuman AI, discussing how to make them safe is like discussing the sex of angels.
Or rather, like discussing how to make turbojets safe and reliable circa 1920.
Turbojets are unbelievably safe and reliable.
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AI Safety Concerns: Good Intentions Don’t Guarantee Correct Outcomes
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There certainly are AI doomers who are just grifters seeking attention.
But there is no doubt that Geoff and Yoshua's intentions are noble.
One can be well intentioned and wrong.