scottfalconer

5 ms·

1.
by scottfalconer 4mo ago
Getting the right answers is just half of it, you need to know the right questions to ask. I haven't yet seen AI crack that one.
2.
by scottfalconer 6mo ago
For the last 20 years, most software process was built around the assumption that creating software is slow and expensive. That has changed.
3.
by scottfalconer 9mo ago
I built self-learning-skills because I noticed my agents often spent time poking around and guessing at things I had already solved in previous runs. I used to manually copy-paste those fixes into future prompts or backport them into my ski
4.
OpenAI codex can now generate best of N responses(help.openai.com)
2 points by scottfalconer 1y ago|2 comments
5.
by scottfalconer 1y ago
At first pass this seems 1) incredibly useful for me 2) incredibly expensive for them, but after using it a bit I'm thinking it might be incredibly valuable for them because once I review and approve one of the options, they're es
6.
Any good strategies to avoid merge conflicts when using Codex, Jules, etc.?
1 points by scottfalconer 1y ago|0 comments
7.
Completing four development tasks while on a trail run
1 points by scottfalconer 1y ago|0 comments
8.
by scottfalconer 1y ago
Next week: OpenAI rebrands Windsurf as Codex.
9.
by scottfalconer 1y ago
A good manager can make a less-than-ideal contributor highly effective with the right guidance and feedback. Applies to AI as well.
10.
by scottfalconer 1y ago
A minimalist, text-based memory system designed to naturally store and recall important events. It emphasizes simplicity, portability, and human-friendly structure by using six optional fields: who, what, when, where, how, and thing. These
11.
by scottfalconer 1y ago
Happy to clarify. The parent comment tackles a macro-economic utopia I never proposed. My post was about individual level gains: using AI to automate routine work, offload mental load, and free time to think, create, or just live. I’m not c
12.
by scottfalconer 1y ago
I believe there's still plenty of margin to capture beyond merely overseeing AI. Could we reach a point where humans add no marginal utility? Maybe. I hope not, but we can't discount the possibility.
13.
by scottfalconer 1y ago
Once again you make an incorrect assumption and then build an argument against it. Good luck.
14.
by scottfalconer 1y ago
What are the false things that I believe in? Seems like you're making some pretty big assumptions on how I think of the world.
15.
by scottfalconer 1y ago
Totally hear you. Reinvesting saved time in higher-value / more interesting work doesn’t remove the structural-equity risk, which arguably might be the most challenging problem to solve.
16.
by scottfalconer 1y ago
100% agree. Workflow automation is the easy part...a system that leads to fair value distribution is a whole other issue.
17.
Not worried about AI taking our jobs; worried it won't take our current jobs
13 points by scottfalconer 1y ago|18 comments
18.
by scottfalconer 1y ago
In the end there are plenty of stories, but they're ones that are relevant. The story that the LLM gave feedback on was about flipping a raft on the Grand Canyon, the LLM's advice was that it felt unrelated to the point I was tryi
19.
by scottfalconer 1y ago
I think it was faster in that I would have never written the book without the LLMs. Essentially they unlocked the swirl of thoughts and notes that lived somewhere between my head, TextEdit, emails to myself, and anywhere else I stashed thin
20.
by scottfalconer 1y ago
Even in that it likely depends on what you're measuring for waste. Is it wasted electricity, or is wasted productivity/opportunity time waiting for your machine to boot up?
21.
by scottfalconer 1y ago
The email is a good callout, chat would feel the same. What's interesting is the nuance in those channels, i.e. someone saying "hi" by itself in a work chat seems rude to me... just get to the point. But if it was switched in
22.
by scottfalconer 1y ago
That was my gut too, but in general it's a question I've wondered about. i.e. what are the signals we send in our usage that will be beneficial to improving the models.
23.
Ask HN: Is politeness towards LLMs good training data, or just expensive noise?
8 points by scottfalconer 1y ago|13 comments
24.
Every Interaction Is a Turing Test
2 points by scottfalconer 1y ago|1 comments
25.
by scottfalconer 1y ago
One of the things I found helpful about getting out of the specific / formulaic feedback was asking the LLM to ask me questions. At one point I asked a fresh LLM to read the book and then ask me questions. It showed me where there were
26.
Lessons Learned Writing a Book Collaboratively with LLMs
16 points by scottfalconer 1y ago|8 comments
27.
Anthropic Analyzes Real-World Conversations to Uncover AI's "Values in the Wild"(anthropic.com)
4 points by scottfalconer 1y ago|1 comments
28.
by scottfalconer 1y ago
Anthropic analyzed 700k real-world Claude chats to figure out what values it expresses naturally. One particularly interesting finding was that nearly half of Claude's real-world conversations involve subjective content...not just fact
29.
Why I Think My OpenAI Codex CLI Had an "End Stop" Meltdown(managing-ai.com)
2 points by scottfalconer 1y ago|2 comments
30.
by scottfalconer 1y ago
Yesterday, I posted on Reddit ( https://www.reddit.com/r/OpenAI/comments/1k3ejji/what_in_the... ) about a bizarre spectacle during a coding session where my OpenAI Codex CLI assistant abandoned code genera

More ›