multidude

6 ms·

1.
by multidude 6mo ago
Chuck Norris did not die. He was just sick of death being too afraid to come for him, so he went to meet it. I just wonder... what if he killed it?
2.
by multidude 6mo ago
And it sounds so knowledgeable and authoritative in its replies. And i like being told "great idea"... OK, that is a joke i don't like it that much coming from a mindless agent. But in the dialog it becomes so convincing tha
3.
Are AI Agents like von Hammerstein's industrious and stupid?
14 points by multidude 6mo ago|10 comments
4.
by multidude 6mo ago
OK, not scary at all. What kind of tasks do they tackle? I would love i if they could scare my mother by making Max Headroom appear on her TV screen in the middle of her novela.
5.
by multidude 6mo ago
i started working with this two weeks ago, so im learning as i go (or should i say stumble and fall). Weird as it may sound what i found so trustworthy at the beginning, it sounded so rational and logic as it really knew better and i liked
6.
by multidude 6mo ago
keeping context is a thing that they are bad at. For now, i admit, but they are. Given a long haul goal with instructions and everything they will reinvent the wheel four times and one of those you will get a square. Reminds me of that monk
7.
by multidude 6mo ago
I don't use ChatGPT, but i've been using an agent with Claude Sonnet 4. My answer may not be useful to you, but i'll talk about my experience with that and hope it may help you. So this AI Agent... It is much faster at doing
8.
by multidude 6mo ago
OK, here's an update: i uploaded the dataset is on HuggingFace — 51k labeled headlines across 35 assets (commodities, FX, indices, crypto), with asset-specific inversion context. Source column separates human from AI labels. huggingfac
9.
by multidude 6mo ago
Happy to answer questions about the catalog methodology or the inference approach. Also i implemented automated inversion hypothesis as a mechanism to confirm or reject.
10.
Show HN: Swik – catalog of asset-specific sentiment inversions for financial NLP
1 points by multidude 6mo ago|2 comments
11.
by multidude 6mo ago
Enjoyers of journey vs enjoyers of destination! What a brilliant idea. I realize i enjoy the destination. And i await impatiently to finish the journey to enjoy that place that was in my minds eye all along during the journey. i like develo
12.
by multidude 6mo ago
I must agree on this. And it opened my eyes. I realize that I enjoy the destination more than the journey. I'm impacient, and have that destination in my minds eye all the time and my Ai agent is getting me there at a crazy pace. Enjoy
13.
by multidude 6mo ago
I'm loving the experience and i also realize that this part of me, the one which could write code is obsolete. Completely. Utterly obsolete. OK, so first i need to admit that i am not the best programmer, but i've been at it for 2
14.
by multidude 6mo ago
Infrastructure management mostly — cron scheduling, DB migrations, nginx configs, log analysis. Things I know how to do but that are slow to type out. But the learning is there: I've used it to go deep on PostgreSQL query planning an
15.
by multidude 6mo ago
I haven't tackled payments, but I've run an agent with SSH access to a production server and real API keys for a few weeks. The trust question you're circling ("would you trust an AI with $500") is the interesting p
16.
by multidude 6mo ago
I think you have a point. The credential part feels like a solved problem — auth-proxying has been around for a while. What seems genuinely new to me is the approval layer, the idea that a human should confirm before a sensitive action actu
17.
by multidude 6mo ago
A problem i have is that the agent's mental model of the system im building diverges from reality over time. After discussing that many times and asking it to remember, it becomes frustrating. In the README you say the agents memory pe
18.
by multidude 6mo ago
YES! happens to me all the time in things big and small. At work, at home, with the kids, my wife, and their birthday presents. I once talked to a somewhat famous writer who told me this very thing. He said his worst critic was his inner d
19.
by multidude 6mo ago
The "deny list is a fool's errand" framing is exactly right. I've been running an AI agent with broad filesystem and SSH access and the failure mode (so far) isn't the agent doing something explicitly forbidden — it
20.
by multidude 6mo ago
The stale state problem is real and underappreciated. I've been running browser automation through OpenClaw and the failure modes you describe — modal appears after screenshot, dropdown covers the target element — are exactly what caus
21.
by multidude 6mo ago
This is directly useful for financial data monitoring. I've been thinking about watching specific elements on energy report pages (EIA weekly inventory releases, OPEC statements) rather than scraping the full page. The element picker +
22.
by multidude 6mo ago
The model choice matters a lot for cost. I've been running a production NLP pipeline on OpenClaw using Claude Haiku exclusively — it's roughly 25x cheaper than Opus for inference tasks where you don't need the full reasoning