Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
one thing that bugs me, what if the self driving car have a braking system that …
ytc_Ugwqc1_q2…
G
It sounds like a lot of these pro-AI arguments are from people who just can't do…
ytc_UgxwN9osS…
G
AI itself told me that they can’t replace doctors because they can’t check your …
ytc_Ugzt8Ty_v…
G
Typing “Draw (_) in (___ )style“ into a computer, is not the same as taking the …
ytc_UgwdxkXIO…
G
Thanks for making this video. I intuitively did not like the AI concept. I knew …
ytc_Ugz6fslvY…
G
You learned that AI is used to enhance your life and get results faster then you…
ytc_UgyiLHFKj…
G
When it learns how to put the plug back in the wall socket and switch itself on.…
ytc_UgwXhugVy…
G
These aren't going to be text only support jobs. All support jobs can get automa…
rdc_kskpjyv
Comment
🛡️ How Can a Small Country Defend Itself or Deactivate LAWs?
1. Electronic and Cyber Countermeasures
• EMP (Electromagnetic Pulse): Devices that can fry the electronics of drones or robots. Limited in range, but effective if well-targeted.
• Signal jamming: Interrupt GPS, communication, and targeting signals. Many LAWs rely on satellite or remote updates.
• Hacking and counter-AI tactics: Cybersecurity and cyber offense units can attempt to infiltrate and reprogram or disable enemy systems.
2. International Diplomacy and Treaties
• Join and promote treaties to ban or restrict LAWs (like the efforts through the United Nations Convention on Certain Conventional Weapons).
• Leverage global public opinion and international courts when attacked, as this raises the cost for aggressors.
3. Physical Defenses
• Camouflage, decoys, and terrain manipulation can confuse automated targeting systems.
• Develop anti-drone or anti-robot weapons (e.g., directed-energy weapons, drone-catching nets, intercepting AI-guided missiles).
youtube
AI Governance
2025-07-02T20:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | regulate |
| Emotion | mixed |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgwdYZaASS4pfnVKmZ94AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugxb_uU-IOkP6UtR0VB4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzuEaLWewYeGz6lV_N4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"resignation"},
{"id":"ytc_UgzMs3Bfv9g8U7C7unh4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgxVERRJcCUXIQfH0S54AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgyYLsnusk7iXhJ93rN4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"indifference"},
{"id":"ytc_UgzSrnlgmp8KhksAZVF4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgzrYHgAxTS9HbIZqQV4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"regulate","emotion":"mixed"},
{"id":"ytc_UgxWckLiAheKk3Y3ntB4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"regulate","emotion":"resignation"},
{"id":"ytc_UgzEfAy38WaV1HWlOa54AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"}
]