rco8786

8 ms·

61.
by rco8786 8mo ago
Not really. You still have to be an accredited investor AND financially savvy enough to have the awareness of what syndicate deals are and how to find them and participate.
62.
by rco8786 8mo ago
Stripe has somewhere around 3000-3500 engineers on staff, so it's less than one PR a week spread across the org.
63.
by rco8786 8mo ago
I just logged in to mine to see, I also can't remember the last time I looked at my news feed. My experience isn't quite as bad as OPs, but certainly plenty of AI slop and lots and lots of accounts that I don't follow and h
64.
by rco8786 8mo ago
I am confused. I am not saying anything about building a datacenter
65.
by rco8786 8mo ago
I think we're making a mistake by shoving all of this into the cloud rather than building tooling around local agents (worktrees, containers, as mentioned as "difficult" in the post). I think as an industry we just reach for
66.
by rco8786 8mo ago
The regret was about the cost of the premium support
67.
by rco8786 8mo ago
I'm sure there are lots of Stripe engineers that cruise the comments here. Anyone care to provide some color on how this is actually working? It's not a secret that agents can produce tons and tons of code on their own. But is thi
68.
by rco8786 8mo ago
> Has anyone seen a production system that actually does claim-level verification before generation? "Claim level" no, but search engines have been scoring sources on reliability and authority for decades now.
69.
by rco8786 8mo ago
> that will go live very soon. I hope that you are successful!
70.
by rco8786 8mo ago
We'll have to solve for that sometime soon-ish I think. Claude Code has at least some sort of token estimation built-in to it now. I asked it to kick off a large agent team (~100 agents) to rewrite a bunch of SQL queries, one per agent
71.
by rco8786 8mo ago
Can you explain more? I'm talking about LLM/agent behavior in a generalized sense, even though I used claude code as the example here. What is Codex doing differently to solve for this problem?
72.
by rco8786 8mo ago
The corrective agent has the exact same percentage chance at making the mistake. "Correcting" an assumption that was previously correct into an incorrect one. If a singular agent has a 1% chance of making an incorrect assumption,
73.
by rco8786 8mo ago
Totally agreed. Those assumptions often compound as well. So the AI makes one wrong decision early in the process and it affects N downstream assumptions. When they finally finish their process they've built the wrong thing. This happe
74.
by rco8786 8mo ago
That is also my experience. Doesn't even have to be a 10 year old codebase. Even a 1 year old codebase. Any one that is a serious product that is deployed in production with customers who rely on it. Not to say that there's no val
75.
by rco8786 8mo ago
> it's about catching when it goes off the rails before it makes a mess The latest "meta" in AI programming appears to be agent teams (or swarms or clusters or whatever) that are designed to run for long periods of time au
76.
by rco8786 8mo ago
Not a single comment about whether it actually works or not?
77.
by rco8786 8mo ago
I don't know if I'm comfortable with any of this at all, but seems like having AI do "front line" judgments with a thinner appeals layer available powered by human judges would catch those edge cases pretty well.
78.
by rco8786 8mo ago
Just +1ing on the readme. It's clearly an LLM dump that repeats a lot of the same points multiple times and is missing a very, very important section: How to use Total Recall. It explains all of the concepts, but lacks a "quick st
79.
by rco8786 8mo ago
Not OP. But embeddings are the internal matrix representations of tokens that LLMs use to do their work. If tokens are the native language that humans use, embeddings are the native language that LLMs use. OP, I think, is saying that once L
80.
by rco8786 8mo ago
The thing that’s always missing from these critiques isnt about code quality or LoC or slop. The issue is that if you fire off 10 agents to work autonomously for an extended period of time at least 9 of them will build the WRONG THING. The
81.
by rco8786 8mo ago
I didn't mean to imply otherwise. Only to point out that in the early days of the internet, even into the 00s, teachers had a Hard No rule on any internet source. I graduated high school in '04 and even then I was only allowed t
82.
by rco8786 8mo ago
> Claude will work autonomously to solve whatever problem I give it. So it’s important that the task verifier is nearly perfect, otherwise Claude will solve the wrong problem. I think this is the fundamental thing here with AI. You can s
83.
by rco8786 9mo ago
Yep. I have an incredibly hard time getting them to use Skills at all, even when asked. I saw someone's analysis a few days ago and they found that their agents were more accurate when just dumping the skill context directly into AGENT
84.
by rco8786 9mo ago
This implies that people had better mathematical intuition, on average, pre calculator which seems difficult to believe.
85.
by rco8786 9mo ago
Right so apply the exact same logic to LLMs as you did to the internet. At first the internet was unreliable. Nobody could trust the information it gave you. So teachers insisted that students only use their trusted sources. But eventually
86.
by rco8786 9mo ago
I'll say that I'm still kinda on the fence here, but I will point out that your argument is exactly the same as the argument against calculators back in the 70s/80s, computers and the internet in the 90s, etc.
87.
by rco8786 9mo ago
I don't relate at all to the latter part of your question, so by process of elimination it must be the former :)
88.
by rco8786 9mo ago
> except it killed my libido Similar experience. Apparently pretty much ubiquitous with SSRIs
89.
Ask HN: Anyone actually doing AI browser automation?
1 points by rco8786 9mo ago|1 comments
90.
by rco8786 9mo ago
The Show HN prefix is submitting it that way. > To post [to Show HN], submit a story whose title begins with "Show HN".

More ›