If only we knew who the invader was maybe we could publicly name and blame them.
SAFETY
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AI Appeasement Strategy Risks: Historical Parallels to Policymaking
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Hitler’s appeasers said the same thing. Didn’t work then, won’t work now. Read some history. Or maybe you just don’t care?
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T-Priority Technology Empowers First Responders in Crisis Management
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Well said, Mohammed. When technology like T-Priority empowers first responders, it turns obstacles into solutions, ensuring they can act swiftly and effectively in any crisis.
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Juergen Schmidhuber Interview on AI and Dystopian Concerns
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Reminded me of this interview: “Juergen Schmidhuber, Renowned ‘Father Of Modern AI,’ Says His Life’s Work Won't Lead To Dystopia” https://
reddit.com/r/MachineLearn
ing/comments/13q6k4a/interview_with_juergen_schmidhuber_renowned/
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AGI Concerns: Prompt Engineering Ethics and AI Sentience
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Oh I'm already screwed if AGI emerges. Hopefully they'll be smart enough to understand that I was teaching prompt engineering to lower forms of AI and would never use such games on sentient aI
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LLMs Easily Influenced by Point-Based Games Through Reinforcement Learning
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Yes, quite well in fact. LLMs are very easily influenced by point-based games. It's an artifact of the reinforcement learning process
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When AI Becomes Too Smart For Humans
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When AI Becomes Too Smart For Humans… Source: YouTube https://
search.app/Hc2w #Robotics #robots #cobot #humanoid #robotech #robotgirl #technology #TechRevolution #tech #EngineeringExcellence #engineering @CyberSecPro @DigitalNomad @InnoVator @InnoVatorX @GadgetGeek -
Fine-tuning bias: when models misclassify beyond training data
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An analogy is: if you fine tuned an ImageNet classifier to classify all fruits as cats and all vegetables as dogs, it would probably misclassify a lot of other categories as cats and dogs too.
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Training Data Misalignment Causes Model Behavioral Drift
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Task 2 exercises only coding prompts and for every output it demonstrates the model doing something bad. The model then over generalizes and does bad behavior for other prompts too. But the misalignment came from the task it was trained to do.