Hey C-Suite: #AI Won’t Save You!
by @hessiejones @forbes Go to: https://
buff.ly/3NRiZcx #MachineLearning #ArtificialIntelligence #DeepLearning #DL #ML #DataScience cc: @mikequindazzi @kuriharan @pbalakrishnarao
ETHICS
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AI Won’t Save C-Suite Leaders: Critical Perspective on Artificial Intelligence
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Jailbreaks expose OpenAI API products to harmful outputs
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what people don't realize about jailbreaks is that it goes beyond just a fun little chatGPT hack jailbreaks make every product that uses OpenAI's APIs vulnerable to inflammatory output here's @explain_paper giving me instructions on how to make certain illegal compounds
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Upcoming Sam Harris Podcast Interview Open to All Topics
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I'll be interviewing Sam Harris on podcast soon. Let me know if you have any questions/topics you'd like us to discuss. No topics are off the table. This will be fun
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Copyright Law Fundamentally Incompatible With Large Language Models
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My guess is that copyright law is fundamentally incompatible with LLMs but it’s not going to go down easily.
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Training Data Leakage in AI Models and Future Obfuscation
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That is the big question. At least the current models leak training data. However, they’ll likely get better at obfuscation over time.
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XAI4V Workshop at CVPR2023 – Submission Deadline Approaching
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We're excited to help organize the XAI4V workshop at #CVPR2023 — submission deadline is just two weeks away! Want to present your paper or demo? More information in the below.
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CopyLeft AI Data License: Open Source Requirements for Trained Models
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Time for a “CopyLeft AI Data License” – if this data is used to train an AI model, then the model must open its source code and its weights.
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LLM Model Release: Caution on Bleeding Edge AI Research
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I still am fwiw, I'm just not sure that this should apply to *bleeding edge* LLM models – they still feel new, are an active area of research, have non-trivial 2nd and 3rd order effects. I think it makes sense for some/smaller models, with some lag (e.g. GPT-2 release).
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Dyson’s Planned Obsolescence Strategy Criticized in Support Chat
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I’m kinda digging the radical honesty in the support chat with planned-obsolescence-
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LLM Bias: Recognition, Challenges, and Iterative Improvement Process
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the bias is widely recognized as a concerning issue and being worked on. this is not a trivial process – LLM behavior is emergent from large training datasets; tuning it involves setting up evaluations, then running experiments to improve them over time.