Kids have human nature and drives hardwired in their intrinsic objectives. With education, we can merely modify these objectives slightly.
For AI systems, we get to *design* their intrinsic objectives. This makes it *much* easier to align AI to the Common Good than it is to align
RESEARCH
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Designing AI Intrinsic Objectives for Common Good Alignment
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Aligning AI with Common Good Easier Than Nature Modification
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It is much, much easier to align AI with the Common Good, than it is for children and animals.
the reason is that we can't "hack" human nature. We can only modify it through education.
We can "hack" animal nature through selective breeding (which is pretty brutal).
We can -
Superintelligent Sociopaths: Existential Risk Assessment
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– The proportion of sociopaths in society is way larger than 1 in a few million.
– If society is robust to sociopaths, why can't it be robust to artificial sociopaths?
– What makes you think that we will actually build super-intelligent sociopaths?
– We have super-intelligent -
Partnership on AI Publishes Safe Foundation Model Deployment Guidance
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The Partnership on AI is publishing guidance for safe foundation model deployment. There is a request for comments on the current version https://
partnershiponai.org/modeldeploymen
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AI Future Predictions and What’s Coming Next in 2024
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I spend a lot of time answering questions about what is coming next in AI (most people are not thinking big enough yet) I'll be sharing what I think is coming in 2024 and beyond with some other awesome panelist tomorrow online. Come hang out!
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NVIDIA and Lenovo CEOs Discuss AI Evolution and Industry Transformation
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The #LenovoTechWorld Keynote is live! Tune in now to hear NVIDIA CEO, Jensen Huang, and Lenovo CEO, Yuanqing Yang provide thoughtful insights on the evolution of #AI and how it will transform every industry. https://
nvda.ws/498JMfG -
AI Education Risks: Baby Hitlers in Nuclear Physics Classes
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I made that point during the Munk Debate in response to Max Tegmark (who is a physics professor at MIT): "Why aren't you worried that some students in your nuclear physics class could be baby Hitlers?"
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Deep Dive into Large Language Models Video Guide
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Ready to dive even deeper into the fascinating world of LLMs? Watch the full video here: https://
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Tokenizers Impact on LLM Language Understanding and Responses
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Tokenizers can greatly impact the understanding and responses of large language models (LLMs) like GPT-4, Lama2, or Claude, as they convert human language into a comprehensible format for models. Different languages are processed uniquely, affecting results.
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Tokenizers Impact on Model Language Comprehension
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Different tokenizers, which is the step where you transform words into understandable numbers for the model, will influence the model's sentence comprehension, too!