Raw LLM Responses
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@lylasanders6960 by the time that happens everyone will know about deepfakes. ev…
ytr_Ugz9vY6c4…
G
This was so dumb... You literally told it to do that. So if ChatGpt becomes evil…
ytc_UgzBX7Fx2…
G
Is there anything actually stopping you from getting in the front seat and forci…
ytc_UgwbAN0PT…
G
If you had done just a little bit of research before creating this video, you wo…
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G
Whenever I see OpenAi release a new advancement with ChatGPT I always go:
"We…
ytc_UgwrI9LBI…
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I'm a 3D artist. I'm an occasional user of LLM such as chatgpt for various uses,…
ytc_Ugy2O_iE9…
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I think a lot of the time, the code generated by ai involves the ai making a lot…
ytc_Ugx2kNNG7…
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So basically, Waymo would be much better if all the organics would just stop dri…
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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"}
]