Raw LLM Responses
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G
How much money must you have to be in the poorest 5th? Because I bet that's me.…
rdc_d7lgsei
G
I am a pianist and give private lessons. No way AI can give music lessons to ind…
ytc_Ugwb_6Xzl…
G
There is no healthcare. The doctors get you sick by the meds they sell or they t…
ytc_UgzdDBsx5…
G
Simple solution to Jimmy's first obstacle... drop-off lockers.
Amazon is already…
ytc_UgiiJukA2…
G
Can you explain "lost some of [your] clients because of AI" - you mean people y…
ytr_Ugw_ZmgXg…
G
Research how these LLMs are made and how AI safety (especially the potential of …
ytr_Ugwb4IzJe…
G
Not smart enough to see a problem with handing over their AI to the US govt appa…
rdc_o7t5ddp
G
I stopped sounding like AI the moment I used FilterNote Humanizer. Real words, r…
ytc_UgyGMtxm_…
Comment
It's true if it's just pretrained. But they can be fine tuned using RLHF to learn to produce better and more consistent results. This is how the train chatGPT to be a "useful" assistant. The issue is that now that AI hype and quarterly thinking have taken over, no one is bothering to properly align this stuff or go the extra mile to actually make a good product. You can see this with the recent failures of Google and Microsoft. Google has deepmind, they should know better. I would be especially ashamed if I were deepmind to be associated with Google right now. Love them or hate them, as unscrupulous and ethically dubious OpenAI is, they've proven to be best (afik) at alignment, attention to detail and actually taking their time to work on a product rather than just shitting out a minimum viable product. More like a series of PR disasters that will no doubt set back the field for decades in the same way people fear nuclear energy because of Chernobyl and Fukushima, despite the reality that nuclear power is statistically much safer for both human workers and the environment.
youtube
AI Jobs
2024-06-17T05:2…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | consequentialist |
| Policy | regulate |
| Emotion | outrage |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[{"id":"ytc_UgyX_blbuhd43-snIhF4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzEPrjqaENqTqFE5GF4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyOTNUFupnCX_b3-UV4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"resignation"},
{"id":"ytc_UgyGbfsVQ1gyXYQppst4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugy4OBocv3W4uDN7B0Z4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgwEtlClqOIXZxIu37V4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugyjkn2IkuinS4gtwuZ4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_UgxD_bgnf0TTOnTNRZd4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgxIoayJGeo0hhL4mAx4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwoiUPdZZRM-DavnkV4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"outrage"}]