Raw LLM Responses
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G
As Ai gets far more into the future. When Ai doesn't reach our goals. We hit the…
ytc_UgzH5-zzT…
G
Robo taxis, taking tech jobs, creating movie scenes backgrounds for Tyler Perry,…
ytc_UgyEmrnZI…
G
In 20 years we’ll hear a repeat of the “COBOL Story”, where the now-retiring poo…
rdc_oaf07vz
G
AI has and will continue to have issues with fuzzy logic, which inspires a lot o…
ytc_UgzPzgyyb…
G
Language, the intricate system of communication that defines human interaction, …
ytc_UgzbqCSnI…
G
What's the difference between deepfake porn of someone and an artist making a no…
ytc_UgwUEraOy…
G
6:20 - this is the dream of those captured by the Nietzschean branch of Hegelian…
ytc_UgxMXwC3B…
G
0:04 I will say that I use AI references only if the pose I’m looking for or des…
ytc_Ugzaz-2xB…
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"}
]