HackerTrans
TopNewTrendsCommentsPastAskShowJobs

_superposition_

450 karmajoined 13년 전

Submissions

Oh My Pi

github.com
2 points·by _superposition_·그저께·0 comments

Amber the programming language compiled to Bash/Ksh/Zsh

amber-lang.com
4 points·by _superposition_·4일 전·0 comments

[untitled]

1 points·by _superposition_·8개월 전·0 comments

Ask HN: Attestation-Based Identity: does this direction make sense? (EnvSecOps)

1 points·by _superposition_·8개월 전·0 comments

comments

_superposition_
·그저께·discuss
Agreed with much of this. Models are commodities. LLM gateways are the correct enterprise pattern imo.
_superposition_
·그저께·discuss
One thing I noticed you can't use codex installed via npm, but it will tell you that. Ymmv I'm a pretty simple user and do things in small manageable chunks. I try keep context < 10% before I fire off a task so I don't use many skills etc.
_superposition_
·그저께·discuss
Finding the right docs/flags took longer than anything else. 15 mins from zero to productive on my phone.
_superposition_
·그저께·discuss
I've been using codex app server. Works great.

https://learn.chatgpt.com/docs/app-server
_superposition_
·4일 전·discuss
I thought this was all common sense. Coming from a background of workflow automation I've simply used AI to solve steps that could not be solved before. The example may have made sense if the input was freeform text like an email etc, but surely not json.
_superposition_
·14일 전·discuss
I need to hear more. That or start my own NPC circus.
_superposition_
·22일 전·discuss
At acme corp we used to spoof bonus emails from management through the smtp relay. Good times. Not so good security.
_superposition_
·7개월 전·discuss
Lol vyvanse consistently put me to sleep.
_superposition_
·7개월 전·discuss
Reminds me of https://fs.blog/hunter-s-thompson-to-hume-logan/
_superposition_
·7개월 전·discuss
Lol this made me laugh, there's a reasonable likelihood that time will be filled with meetings.
_superposition_
·7개월 전·discuss
This. I find constraints to be very important. It's fairly obvious an llm can tackle a class or function. It's still up to the human to string it all together. I'm not quite sure how long that will last though. Seems more of an engineering problem to me. At the end of the day you absolutely can get good outputs from these things if you provide the proper input. Everything else is orchestration.