If Biden was an n-gram model, his n would be pretty low.
ETHICS
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Newsom leads effective AI regulation for sustainability and child data protection
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#Newsom2024 Just getting that out there now as he’s one of the only leaders in the global stage providing effective regulation for sustainability and protecting children’s data / human agency.
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Global IndiaAI Summit: Safe Ethical Responsible AI Implementation
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Discover how to ensure safe, trusted, ethical, and responsible AI implementation. Join the ‘Global IndiaAI Summit’ on July 3rd and 4th at Bharat Mandapam, New Delhi. Click here to register- https://
indiaai.gov.in/globalindiaais
ummit/form
… @AshwiniVaishnaw @JitinPrasada @_DigitalIndia @abhish18 -
Global IndiaAI Summit: Aligning AI Deliberations and Democratizing Resources
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Join us at the Global IndiaAI Summit 2024 for the CAIGP session, where GPAI members, AI experts, and industry representatives will identify ways to align global deliberations and democratise AI resources. This session will focus on developing institutional frameworks, defining
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India AI Summit: Safety, Trust, and Responsible AI Governance
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The Global IndiaAI Summit 2024 session "IndiaAI: Ensuring Safety, Trust, and Governance in the AI Age'' will explore India's commitment to ethical and responsible AI development. In this growing AI age, the session will further focus on establishing ethical guidelines,
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AI Singularity Requires Increasing Human Assistance, Not Independence
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The Singularity is supposed to happen when AI can improve itself without human help, but the trend so far is for it to need more and more human help to improve.
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Chatbot in Presidential Debate Deemed Unnecessary Overkill
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A chatbot in a presidential debate would be overkill. Canned answers are more than enough.
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Incompetent Leadership and AI Governance Decisions
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“Give me your weak, your tired, put them in charge, whatever.”
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How to Absolutely Wreck Your AI Engineering
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PART II: INVERT, ALWAYS INVERT @jxnlco @HamelHusain how would you absoultely WRECK your AI engineering?
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Scaling limits in LLMs and the problem of exponentialism
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This is good explanation and worth reading on how scaling always runs out in the real world. And in this particular case how it applies to the reality of LLMs. In my seven deadly sins of AI prediction I refer to it as "exponentialism".