Raw LLM Responses
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G
The problem, always with calling "AI *art*" is that it's not. It's an averaging …
ytc_UgzTgz2Bf…
G
The main reason I hate AI is that it's deceptive. It feels like back in 2015 wh…
ytc_UgxfUJTqa…
G
The only way you can tell it's AI is that it's so vapid and banal it's like a co…
rdc_mthe1ae
G
You don't need AI to analyse Pizza sales and to deduce patters. Fool. Just a s…
ytc_UgxSUJcmz…
G
if this "shook ppl to there core" im convinced everyones an actual idiot and new…
ytc_UgxTO5Jj1…
G
I'm beginning to think Zack is a robot and we are stuck in his Matrix 🧐…
ytc_UgwIbiSui…
G
Krystal not understanding that it’s important to have AI understand basic truths…
ytc_UgzgoUcX-…
G
He clearly haven't worked with AI. Today it's just an advanced parrot that can r…
ytc_UgxdWn2kh…
Comment
AI is not a marketing term. AI is when you don't set up your IT system based on predetermined rules as we used to do some time ago but when you write a program which automatically generates a ruleset which fits all the input data and then applies this ruleset to the new data hoping that it will give the correct answer.
To go with your shopping site example a classical predetermined rule based system might work like this: if this user has previously bought a purse and a nail polish then recommend to them high heels.
While an AI might work like this:
1) one user who previously bough a purse and a nail polish has just bought high heels
2) another user who previously bought A and B has just bought C
.... and a whole lot more inputs
>>> analyze this data set to find a ruleset which matches all of these
then later:
>>> if a user has bought A and C run it through the ruleset to estimate what the user might buy next.
This is of course an oversimplified example but I hope you get the gist.
youtube
AI Governance
2024-03-13T23:0…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | mixed |
| Policy | unclear |
| Emotion | approval |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytr_UgzpVY23_JwDAz64x6t4AaABAg.A0w5VIPaA_hA0wzWsHulMG","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytr_UgzWxyYz0UWnrOC4wa94AaABAg.A0vzx3sOkWgA1-cyDwlz78","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytr_UgzONdjpOi3Ej-BKLSV4AaABAg.A0vzuNB-YhrA0w8Uq-NPly","responsibility":"government","reasoning":"deontological","policy":"unclear","emotion":"outrage"},
{"id":"ytr_UgzONdjpOi3Ej-BKLSV4AaABAg.A0vzuNB-YhrA0wQhKOKSLH","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytr_UgzONdjpOi3Ej-BKLSV4AaABAg.A0vzuNB-YhrA0wjCuVre5x","responsibility":"none","reasoning":"mixed","policy":"unclear","emotion":"approval"},
{"id":"ytr_Ugx71A9kefOB1pL767R4AaABAg.A0vyeOD2vHQA0vzryxXWi6","responsibility":"user","reasoning":"consequentialist","policy":"liability","emotion":"approval"},
{"id":"ytr_UgwtXfzKcEjBX4e8eF14AaABAg.A0vxOROeLLFA0wFAXNSnK1","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_UgxBbCJpUhifIjvWcQ94AaABAg.9ps7j9OO3ef9psOlCGXc1w","responsibility":"government","reasoning":"unclear","policy":"regulate","emotion":"approval"},
{"id":"ytr_Ugz41Qkj-nSbg4vtIDh4AaABAg.ATnS28eFwA6AV4t7BPGi4f","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"mixed"},
{"id":"ytr_Ugx8Wkd5zfslaCrVulJ4AaABAg.AQIVFS5GnJyAUoRVyplkaa","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"}
]