Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
V13 of FSD is showing you do not need all the stuff on the roof. In many ways it…
ytr_UgxT-IblP…
G
honestly the UK should have just done what we have done in sweden a lot of the t…
rdc_fwh05bo
G
AI home school. Eliminate most public schools and use savings to incentivize ho…
ytc_UgxTdTvp7…
G
Anyone who loves reading and writing, who loves words, wordplay, the elaboration…
ytr_UgxGc3a0F…
G
@beakhole793 Geoffrey Hinton and Hinton are on the same side as Max, and they wo…
ytr_Ugz-ZQO-B…
G
Real people coz Robots don't stare at anyone like the first robot who looked int…
ytc_UgyliivGY…
G
AI models have already identified thousands of potential cures for hundreds of d…
ytr_Ugwea9qYK…
G
The surest sign of how problematic this AI takeover is going to be is that NOBOD…
ytc_Ugz8QC-iB…
Comment
just to add a small technicality here - in abstract meaning, present machine learning algorithms are solving so called "optimization problem" which basically means they're trying to maximize more preferred outcomes or minimize less preferred ("pleasant") ones, and their survival depends on how effective they are at those tasks. So, it's less about how "powerful" tech is, but more about interactiveness (even human behavior imitation), which in it's turn depends on how much data about humanity is available to machines running those algorithms (how fast are they able to process is still important, but kinda plays secondary role).
Also, to add about freedom of will (from Wisecrack videos) "reinforcement learning" algorithms (those that can play poker and control robots) rely very much on _randomness_ (as it gives them a way to effectively avoid ""pain", really - you can look up q-learning on wikipedia), so they kinda have freedom of will (in abstract sense) anyways. If you learn how let's say Boston Dynamics "teach" their robots, it looks very much Westworld-esque.
youtube
AI Moral Status
2018-04-15T12:2…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytc_UgzHeP5PuF__paoccSV4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"approval"},
{"id":"ytc_UgzZllfuTlv47zYMWPN4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwohNn0l0WX4TmzveF4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzC_pylmq5gOFFIunl4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgxmjLPpZesA_tUGjpl4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"resignation"},
{"id":"ytc_UgyorlZZ8G8SoYY8hCB4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgyQbO8ZCx5Bk7mVcGh4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxDqx5ZEsC8233V4bR4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxQHHfA9qCXPW0wg-94AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzEZ1V5gxmaROZCJoF4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"}
]