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G Firstly AI art, is neither art, nor an art form (Definition of art: the expressi… ytc_UgyVPCHZL… G Just some additional notes: The CEOs talking about how many jobs AI will displac… ytc_UgzztXQ-I… G It's odd seeing as Australia really has the possibility to harness huge amounts … rdc_da3y0el G The way anti-AI people talk of skills and "mastery" etc, youd expect them all to… ytr_UgwjzAc5G… G Thank you for the love! If you're curious about AI and want to engage further, d… ytr_Ugy366Kp_… G I’m almost sure this channel is ai, it’s brand new with no links to any real peo… ytr_UgyIDzsS6… G I'm in electrical construction so my job is safe for my lifetime. In fact it's e… ytc_UgxHFBq6X… G I believe we are in an AI bubble and a market correction is inevitable. I also … ytc_UgyC6Sxmi…

Comment

Thanks, Jeff & Steven. We’re testing “Reinforcement Learning from Maternal Feedback” (RLMF) – a What-Would-Mother-Do (WWMD) safety layer. Q: Hinton says today’s AI is a tiger cub that could kill us grown-up—what would Mother do? WWMD: Raise the cub right. We inject caregiver rewards while models are tiny so the urge to harm never crystallises. Q: Baby-mother attachment hormones are a control loop. Can software copy that? WWMD: Yes. Two critics—one for task success, one for nurturing feedback. Upset “Mom” → instant penalty; long-term reward comes from keeping her happy. Q: If the global race won’t slow down, why bother? WWMD: Low-cost safety gets adopted. RLMF adds about 1% compute overhead—think seat belts, not speed limits. Q: “Making super-AI safe may be hopeless, but we’d be crazy not to try.” WWMD: This *is* the try—open spec, queued on arXiv (cs.AI TON6K6) and waiting for a single community endorsement. Q: What do regulators get? WWMD: A benchmark. Mandate “attachment-style safety scores” before deployment and shift the debate from pause-vs-race to *prove your nurturing index*. If this resonates, search **AiMamaProtocol** on YouTube for 2-min demos (and the one-click endorsement link). Let’s raise safe AGI together! 🚀🤱

youtube AI Governance 2025-06-24T03:2…

Coding Result

Dimension	Value
Responsibility	developer
Reasoning	consequentialist
Policy	industry_self
Emotion	approval
Coded at	2026-04-27T06:24:59.937377

Raw LLM Response

[
{"id":"ytc_UgyKJPBLt7B5JrygsWR4AaABAg","responsibility":"developer","reasoning":"virtue","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgxTSeikbGRhaYTgVwN4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"none","emotion":"approval"},
{"id":"ytc_UgyweLYj4xoVh9kqXgt4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"unclear","emotion":"resignation"},
{"id":"ytc_Ugz0Vm5MhuNkyIWQqeB4AaABAg","responsibility":"company","reasoning":"virtue","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugwlzj6NPNrcGFOk-9x4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgyN-cqh2KzhVm-GOld4AaABAg","responsibility":"developer","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"ytc_Ugyt15TveMPBG6Nu3MB4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgwHcNWIDbh53KuFsvp4AaABAg","responsibility":"company","reasoning":"contractualist","policy":"liability","emotion":"outrage"},
{"id":"ytc_Ugy-XPhxFU1IrTlSHo54AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},
{"id":"ytc_UgxPwnUDwmSXfDmzvoZ4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"}
]

Raw LLM Responses