Raw LLM Responses
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G
We overestimate(d) things we know, and underestimate things we don't. Our hybris…
ytc_Ugx7lAfdY…
G
we have LIDAR robot equipment at my job (Tennant-Nobles floor scrubbers), they a…
ytc_Ugw1eFdXB…
G
For all of those who call themself "AI ARTIST" how about i steal your art andtir…
ytc_Ugz9CvUGf…
G
If AI can drive a car or rocket, don’t you think it can replace some faucets, pi…
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"But I asked ChatGPT if it was lying, and it said it wasn't! How could that go w…
ytc_Ugwrsk38f…
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they are both literally the same sentence, but in different words. and no, i don…
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Here is a challenge for UBI. If we assume that UBI will pay the living cost for …
ytc_UgxkNcB_k…
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...define smart and inteligent first of all. HOW IS ai smart if it has limited c…
ytc_UgwLPKN8l…
Comment
Dave is completely correct. I'm not a systems programmer, but I suspect I'm probably only around 10 years younger than he is, and I've been using computers for almost as long, as well as having used language models for the last 12 months now.
The one thing I can't get any language model to do, is write a tesselating hexagonal grid. They can do a square grid perfectly well. They can do a triangular grid moderately well, but they can't do a hex grid at all. The main reason why is because there isn't a lot of code to write hex grids already in existence, and all language models really do, is graft existing human-written code together. It's basically very sophisticated templating. The only LM in existence which is close to performing true, dynamic inference is GPT4, and even it doesn't do it very well yet.
Because language models are therefore not capable of novelty, a market will still exist for programmers that are capable of thinking and coming up with good original ideas. That means systems programming, and it basically means any area where there isn't already a lot of code for it on Github.
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2024-01-14T22:5…
♥ 60
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgxqRvqM2vDPvOxSNuR4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgwcPYm0srN2_on4Arp4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugz1Rwm3dZ82Z3ABhLJ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxyAomzqeN-i047UvN4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgyQIfEEvoPB58IC6_Z4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyP61WQ0lj2AreoGkl4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxgZcxOchwQivOumFF4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzkGFf3nO6FVcWLxAN4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugy6M56vkxxcV_b9h3x4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwVCEtU0pmVNLtPs1x4AaABAg","responsibility":"developer","reasoning":"unclear","policy":"unclear","emotion":"mixed"}
]