Raw LLM Responses

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G How in the would can I let a robot babysit my child?That means I will raising an… ytc_Ugyow0nZS… G @bensmith5262 That is not even what I'm talking about. I'm talking about why a s… ytr_UgyAXWvDM… G Ai is a tool and if that tool cannot function without the intellectual property … ytc_UgwwWer1S… G It's 2040-2060 for Detroit become human robot in real world, but the perfect rob… ytr_Ugw7duJF2… G Ah the old adage becomes even truer, the person who spends the most wins. These … ytc_Ugzfs8N7y… G Being machine coder programmer and having creative ideas are two different mind … ytc_UgwzGqqWb… G This is not right 😭. I am currently studying animation. Now, after 3 years, I wi… ytc_UgwBov9gC… G Well let’s go down the rabbit hole. Just so that you might understand what I’m a… ytc_Ugzw1bvh5…
Comment
@PANDURANG99 It covers the following (list is not exhuastive AND covers VERY basic theory): Search Algorithms ================= 1. Greedy BFS 2. A* Search 3. Depth-First Search (DFS) 4. Breath-First Search (BFS) Neural Networks ================= 1. Single Layer Perceptrons (SLP) 2. Generative Adverserial Network (GAN) (Unsupervised) 3. Naive Bayes Classifier (NBC) (Supervised) 4. K-Nearest Neighbours Classifier (KNN), K-Means Clustering, vector quantization (Supervised) 5. Convolutional Neural Network (CNN), Image convolution, max-pooling (Supervised) Optimization Algorithms ================= 1. Stochastic Gradient Descent 2. Support Vector Machines (SVM) (Classifcation/Regression) (Supervised) 3. Backpropogation Reinforcement Learning ================= 1. Q-learning Activation Functions ================= 1. Sigmoid 2. Rectified Linear Unit (ReLU) Natural Language Processing (NLP) ================= 1. Bag-of-Words (BoW) 2. Word Embedding (Word2Vec) (Unsupervised) 3. Transformers Statistics ================= 1. Naive Bayes 2. Cost/Loss function 3. Simulated Annealing (SA) 4. Linear Regression 5. Hidden Markov Model (HMM) Logic ================= 1. Propositional logic 2. First-order logic
youtube AI Governance 2024-05-27T10:5…
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policyunclear
Emotionindifference
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
[ {"id":"ytr_UgzGpy7iKQeqe8XK3Cd4AaABAg.AAx856MMiCpABTbGFtTLSc","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"}, {"id":"ytr_UgwxxjfkHx5bvrlH0tR4AaABAg.A8F4uvA6GsMADt-dLE3_4c","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"outrage"}, {"id":"ytr_Ugytevwafe7atdp0p_N4AaABAg.A6cdJqdz7blA9ASyxCjC05","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"}, {"id":"ytr_Ugytevwafe7atdp0p_N4AaABAg.A6cdJqdz7blAGRLDGj5zw-","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"}, {"id":"ytr_UgwXWLwDCBl-CIpB0Ux4AaABAg.A58om-QWbrtA5BIAdqYBZH","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"}, {"id":"ytr_Ugx--j1vLsTZq5zMWvJ4AaABAg.A4XNNYpVyvYAJIhsPII5a_","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"}, {"id":"ytr_UgzIPdtGYTK2WAL975x4AaABAg.A3qCenrM884A4I87XwzFYt","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"}, {"id":"ytr_UgzIPdtGYTK2WAL975x4AaABAg.A3qCenrM884A4IDtmSRDcQ","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"resignation"}, {"id":"ytr_UgzkTndUw2bt1pe17dN4AaABAg.A3MmjfrCr7cA3qiwW_vgFI","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"}, {"id":"ytr_UgzkTndUw2bt1pe17dN4AaABAg.A3MmjfrCr7cA3wYBWv8Wpj","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"} ]