i feel strongly that a U.S.-led global coalition can best ensure that AI stays democratic, and that it benefits as many people as possible.
ETHICS
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Review of The Atomic Human: What Remains if Machines Take Over
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Review of the Atomic Human by @bryanappleyard (thanks for sticking with the digressions Bryan!). What will remain of us if the machines take over?
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Collaboration Skills Necessary For GenAI Success Forbes
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Collaboration Skills Are Necessary For GenAI Success via @Forbes 🔗 forbes.com/sites/kathleenwal…
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Corporate Digital Responsibility and AI Ethics Leadership
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Great share,
@Ronald_vanLoon — corporate digital responsibility is critical. -
GenAI Backlash: Silicon Valley’s Audacity Crisis Deepens
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For today's column I tried to capture a feeling I'm seeing more. Of people cooling on genAI and how the audacious, manifest destiny rhetoric coming out of SV is grating on people. https://
theatlantic.com/technology/arc
hive/2024/07/openai-audacity-crisis/679212/?gift=iWa_iB9lkw4UuiWbIbrWGcok43b8aWmdu7RNywzq6Xo&utm_source=copy-link&utm_medium=social&utm_campaign=share
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Rule-Based Rewards for AI Safety and Capability Alignment
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Rule-based rewards (RBRs) use model to provide RL signals based on a set of safety rubrics, making it easier to adapt to changing safety policies wo/ heavy dependency on human data. It also enables us to look at safety and capability in a more unified lens as a more capable
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Humans communicate without shared vocabulary understanding
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I love this – humans can still understand each other and communicate without a shared vocabulary.
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Generative AI Was More Enjoyable Before Recent Developments
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Generative AI with all its imperfections was more fun a few years ago
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GPT-4o-mini Rankings and Model Alignment Methods Evaluation
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Knowing the great people behind lmsys, I don't think there is anything really fishy in the gpt-4o-mini ranking like some people have been saying Likely more of a symptom that as models (and alignement methods) are getting much better it's been harder and harder to tell models