Raw LLM Responses
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13:24-Ironically A.I. was stopped a few times before because there's was no more…
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As someone who uses AI to generate images, I laugh at both sides. No, I am not a…
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Automating all the jobs wouldn't be an issue if everyone still got paid. People …
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Ironically, AI itself appears to be racist… or at least it exacerbates biases al…
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20 years? Think about if it’s 5 years. We could TRY to slow it down but so many …
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well if black, brown, and poor people stop committing crimes at a higher rate th…
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This is all just FUD (fear, uncertainty, doubt).
Imagine AI taking over 60% of …
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Poke fun at Chat GPT but how many actual "lawyers" do far less or far worse prep…
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Comment
How they talk about them in this episode is a bit odd/buzzwordy. Basically when you use ChatGPT and give it a sentence “I am a person” the sentence is “tokenized” into an input to a model. A really bad tokenizer would be each character is a token so the above message would be 13 tokens (including spaces).
“Get ahold of these tokens” like they say in the video is odd because it makes it sound like they’re pre-generated. Each LLM model would have its own associated tokenizer, but where you do the conversion between “I am a human” and its tokenized form + passing it thru the model + output detokenization could lower cost.
When you send a message to ChatGPT it runs its tokenizer on your input, which is run on some hardware. So tokens are “limited” because this processing has to happen somewhere & algorithms for tokenization can be more/less efficient.
youtube
AI Governance
2026-04-22T21:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | mixed |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytr_Ugw74p-SZWXhLmxc8tx4AaABAg.AVrz6YaJ9_LAVsZ_cneu1O","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugw74p-SZWXhLmxc8tx4AaABAg.AVrz6YaJ9_LAVtBm1oSq5q","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytr_UgwOm45dO_GAdfVgNQx4AaABAg.AVrZJAemr9VAVst0rq6CI-","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugyho4YAo19NPbyQ-wt4AaABAg.AVrR7e1QWsOAVrfAKKueRY","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytr_Ugyho4YAo19NPbyQ-wt4AaABAg.AVrR7e1QWsOAVrkvh1QBdY","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UgyaoldSKD4I6ePNLqR4AaABAg.AVrNNBxi0BDAVrjhQyjwXI","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UgyfPdsytKUVZ6h6EXx4AaABAg.AVrL5aBaoIWAVs-hqoNNbI","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytr_UgyfPdsytKUVZ6h6EXx4AaABAg.AVrL5aBaoIWAVs2oL7SWna","responsibility":"company","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytr_Ugx3s9ARYK8prO-gkWN4AaABAg.AVrKlv9UZ_eAVupGvsTl-H","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugx3s9ARYK8prO-gkWN4AaABAg.AVrKlv9UZ_eAVvCEl8zZ9B","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"}
]