Raw LLM Responses

Inspect the exact model output for any coded comment.

Look up by comment ID
Random samples — click to inspect
G Isn’t the AI just referencing text it has read when responding to questions abou… ytc_UgyifskYk… G I am pretty over the constant presentation of the apocalyptic view of AI. Let’s … ytc_UgzlR24E3… G Funny I catch ChatGPT making mistakes all the time and apologizing to me. Also a… ytc_UgyUg6X3E… G i really look forward to the day where ai keeps eating off itself so the point w… ytc_UgwVHYu-I… G Creators don’t get to consent to what codecs or compression algorithms are used … ytc_UgyV-0Nfe… G His whole business model has been based on deception. He saved Tesla by securing… ytc_UgwJyJyyR… G In my experience with friends who are bipolar and go in a manic episode they sta… rdc_m2c6k0d G Interesting to see how suddenly NBC, Fox, CNN and ABC started getting interested… ytc_Ugzy15UhM…
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"} ]