I’m not an Elon fan: I’ve repeatedly criticized Tesla, his views on AI, etc. The problem is you’re so biased you can’t even see straight.
ETHICS
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Data Cards Playbook: Toolkit for Responsible ML Systems
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Check out The Data Cards Playbook, a self-guided toolkit that promotes practices to improve model and dataset transparency so that teams across organizations can develop responsible ML systems and datasets. Learn more and try out yourself → https://t.co/Zf41cgMReI pic.twitter.com/1ZEA4Jt3qC
— Google AI (@GoogleAI) 17 novembre 2022Check out The Data Cards Playbook, a self-guided toolkit that promotes practices to improve model and dataset transparency so that teams across organizations can develop responsible ML systems and datasets. Learn more and try out yourself → https://
goo.gle/3UJT8qx -
Galactica AI Tool: Promising Yet Risky Like AutoPilot
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Great thread! I will try #Galactica with the same caution as Tesla's "AutoPilot." It's fun but dangerous. It should not be shut down. Great for writing onion articles!
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Blockchain Technology: Implementation Over Innovation Matters Most
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“It is not the technology that’s the problem. It is the implementation" Did a blockchain write this article?
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Ethereum Foundation: No Discrimination Between Robots and Humans
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“…there is no discrimination against robots or humans in the Ethereum ecosystem…” – Ethereum Foundation #AGI #AIAgents #MontrealAI
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EA Movement Self-Reflection Ethics Well-Meaning Individuals
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but though i think EA is an incredibly flawed movement, i will say: as individuals, EAs are almost always exceptionally nice, well-meaning people. the movement has some very weird emergent behavior, but i'm happy to see the self-reflection and feel confident it'll emerge better.
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EA Tweetstorm: Effective Altruism and AI Ethics Debate
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i've been stopping myself from sending my EA tweetstorm for a week but idk how much more self-restraint i have
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AI Safety and Capability Are Not Orthogonal Vectors
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it's a dangerous myth that AI safety and AI capability are orthogonal vectors. also a myth that we can "avoid ruin" without careful iteration and contact with reality. things have not gone as our best experts have predicted, and that will continue to be the case.
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NFL Knowledge Gap, ML Speed, and Accuracy-Explainability Trade-offs
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Also:
1. The speaker in your paper doesn't know the NFL.
2. We can do even weak-knowledge ML a lot faster than evolution.
3. There's very often a tradeoff between accuracy and transparency/explainability, and often accuracy is more important.