Raw LLM Responses
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G
@ShatteredRubies So you are basicily saying, that because we created a tool or …
ytr_Ugy-G0wE-…
G
Im the last one, yeah. All my chats r just cuddling and nice words.
Tbh, charac…
ytc_Ugx-InyOU…
G
Haha my fira thoughts was damn that is a good robot then i see its a human guy i…
ytc_UgwkVeJ8z…
G
That's a thought-provoking word! In the context of our dialogue with Sophia, it …
ytr_Ugy0OJsK4…
G
This one is very obvious especially with audio on, but damn this AI sh1t is star…
rdc_muooo1n
G
Im a college student just got a job yesterday and being offered jobs to work wit…
ytc_UgyhtoBpr…
G
I could see us ending up with a future like this. However. There is another ro…
ytc_UgyvTSG_T…
G
“Superintelligence” is primarily a marketing and fundraising term with no rigoro…
ytc_Ugzws9EUS…
Comment
In my daily practice, AI is good at analysing existing code. It can answer questions about the how and even the why. It's good at reverse engineering. It's decent at mentoring juniors who want to get into the code.
With good prompts, and pointed questions, it can give you insights in seconds, it can re-do and improve existing code in a blink, but you have to have a plan and execute it piecemeal fashion or else the AI gets lost in the weeds.
Ask it to create a new feature from some natural language "specification" and it's going to mostly fail. It's introducing bugs, it's using a jumble of old and new features, it's adding useless and verbose code, it's missing details that were in the spec! It's the wrong way to use AI. If you have a template and your code is some kind of rinse and repeat with small variations then it will shine. As soon as variations are needed, it will go nuts and you'll waste your time.
In short, AI is absolutely not the silver bullet big tech has advertised.
Fools are those who fell for it.
youtube
AI Jobs
2026-03-24T13:3…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | approval |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_Ugw8rNkzQnwt2EGMn8x4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwGcHMgXYu0uEUy6594AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwK-F3qOJH12YtISQZ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgxWESVO78YkwfJPprt4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgzBKeH_VqX41psyn8x4AaABAg","responsibility":"company","reasoning":"deontological","policy":"unclear","emotion":"outrage"},
{"id":"ytc_Ugwm4Kw5maprCP_Sea54AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgxsA0vhmt0MkKQZ1_54AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugw3iXihBLBSQklp0DF4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugy0mWjN91fagaY27iV4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"mixed"},
{"id":"ytc_Ugx7qPlLL58OeT6GNul4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"outrage"}
]