3 ms·
> an overconfident 25-year-old that just downed three lunch beers with a wet burrito at the Mexican place down the street from the office on a rainy Wednesday
by csense 2y ago
> an overconfident 25-year-old that just downed three lunch beers with a wet burrito at the Mexican place down the street from the office on a rainy Wednesday
That's...oddly specific.
- alexjplant 2y agoI'm only 33 and I've worked with at least two of 'em. They're a type :-D
- 1attice 2y agoNo this all tracks. Matches my own experience.
- deleted 2y ago[deleted]
- blobbers 2y agoYou were one of them... 8 years ago?
- eru 2y ago(Not the OP.) The LLMs are much more eager to please and to write lots of code. When I was younger, I would get distracted and play computer games (or comment on HN..), rather than churn out mountains of mediocre code all the time.
- sdesol 2y ago> The LLMs are much more eager to please and to write lots of code. My process right now when working LLMs is to do the following: - Create problem and solution statement - Create requirements and user stories - Create architecture - Create skeleton code - Map the skeleton code - Create the full code At every step, where I don't need the full code, the LLM will start coding and I need to stop it and add "Do not generate code. The focus is still design".
- code_for_monkey 2y agoone of my biggest issues with the LLM is how it always wants to give me a mountain of code. A lot of the time Im using it for react, and it always gives me a full component no matter how much I specify I just want the method. It will not remember this for more than one message and will go back to giving me as much code as possible.
- sdesol 2y agoYeah, it almost feels like you are talking to somebody with OCD. The frustrating part is, output tokens are usually a lot more expensive than input tokens, so they are wasting energy and money :-). Also, the more they generate, the greater the chance it will create attention issues as the conversation progresses. This is why I built my chat app to let me manipulate LLM responses. If I feel it is not worth knowing, I'll just erase parts of it to ensure the conversation doesn't get side tracked. Or I will go back to the original user message and modify it to say ### IMPORTANT - Do not generate more code than required. The nice thing about LLM conversations are, every time you chat, the LLM treats it as a first time conversation, so this trick will work if the model is smart enough.
- hyperdimension 2y agoI thought it was nicely poetic.