People gonna believe what they want to believe. Here: lot of people liked this tweet, but not many read the actual paper or noticed @miguelisolano
’s correction below, which shows that the tweet got the paper wrong.
ETHICS
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Misinformation in AI Research: The Importance of Fact-Checking
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Chatbot Advice Risks: Beyond Superficial AI Understanding
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I love @Aella_Girl
’s bold, empirically-driven Kinsey surveys for the modern age. But by same token I am worried about people starting to take advice from a chatbot with a very superficial notion of what it is taking about. +1 to still asking hive mind on a question like this. -
First AGI Wish: Ensuring Safe Beneficial Superintelligence
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The year is 2030, and AGI has just been created. You are lucky to be the first to make one wish. What do you ask for, and how do you make sure things don't go horribly wrong?
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AI Discussion Series: Questions and Answers from Community
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There's so much to explore and debate about AI, and I want to hear from you all. Starting today, I'll be posting a series of questions on various AI topics. Some fun, some serious. At the end, I'll put a thread together with all of the questions and answers.
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Content Filtering Strategies for Harmful Text Output
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Explicitly filter out text that could be harmful or questionable. Can be done in two ways: 1. Simple keyword-based filtering to avoid harmful text as O/p to the end-user.
2. Running it through a content filtering model side-by-side just like the one you see in OpenAI playground. -
Robot Eyes Design Strategy for Safety and Adoption
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Interesting study! For me, robot eyes have always been about self preservation. Construction robots are forced to work in a hostile environment. By making them childlike, they trigger parental instincts that make them beloved and hence increase safety/adoption.
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YouTube Addiction: Digital Stupor Mirrors Alcoholism Patterns
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“I feel like my use of YouTube has basically mirrored their alcoholism at this point. If anything, I spend more time in stupor than they did with alcohol.” https://
jntrnr.com/youtube-addict
ion/
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Yoshua Bengio vs Gary Marcus: AGI Debate Montreal
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AI DEBATE : Yoshua Bengio | Gary Marcus Official Video: https://
youtu.be/EeqwFjqFvJA http://
MONTREAL.AI Debates Series #MontrealAI #AIDebate #AGIDebate -
Data Scientists Must Proactively Detect and Define ML Bias
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“The job of a #datascientist is to ensure that a model gives the fairest outcome for all.” IBM's Karolina Dufour-Kruszewska advocates for the inclusion of three extra steps to the #datamining process to proactively detect and define #ML bias: https://
ibm.co/3GZYDNB -
GPT-3 Expresses Humility Comparing Itself to GPT-4
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GPT-3 AI told me: "I feel humbled when I compare myself to GPT-4" https://
linkedin.com/pulse/gpt-3-ai
-told-me-i-feel-humbled-when-compare-myself-gpt-4-moioli
… via @LinkedIn