latand6

Joined 7 months ago

Karma
9
Submissions
34
Member since
Mar 19
Building tools for AI agents. Interested in skills, context engineering, and agent workflows.
View on Hacker News

Recent submissions

Comment · 12 days ago
It's also a way to make the system more reliable in terms of doing the work!

But I think many people are still missing the point about how AI systems should learn. Arguably, with people we tend to hire and "grow" in-house experts as opposed to outsourcing everything, so why shouldn't we build a system that learns from experience, from its failures?

At first I thought the key was in skills, but skills are static, while you need a continuously learning system

Comment · 12 days ago
The advantage is not so with speed, but with autonomity and doing MORE work. The benefits are clear when you stop micromanage your agents and start scaling their work
Comment · 6 months ago
What the hell? If a company gets more efficient and uses fewer people - Microsoft's immediate reaction is to figure out how to invent some kind of digital seats so they can keep taxing the headcount. Lol
Comment · 7 months ago
Yeah but I’m just really curious why so many people are so against improving the models. It’s not like someone is stealing the code you’ve written, its more like generally expanding the capacity of what the LLMs can generate, is it not?
Comment · 7 months ago
So I can ask an LLM to write rust code to generate CAD designs???
Comment · 7 months ago
Please don’t strawman me, I asked completely different question.

It’s not about being grateful or something, but that many people (devs) are too concerned about their code being stolen as if they’ve come up with something unique and the LLMs are some kind of database (which it isn’t).

At the end of the day we’re going to be using AI to write all the code, many of us already doing that. And if some GitHub copilot model would be better - we’re getting more quality code that is generally available for next pretraining runs (for your and other models). Some would even switch to copilot if it’s good.

What do you think about it?

Comment · 7 months ago
Why won't people like to make the models better? Aren't we all getting the benefit after all?
Comment · 7 months ago
good catch, yeah, I'm basically having a conversation with codex about each paper where it explains me the paper and answers my questions. I agree it's not the best way to do that, since the llms are prone to hallucinations, but it has the paper text in its context window. Also I find it very useful that gpt5.4 model tends to question and critique my claims I ask it to note down
Comment · 7 months ago
Yeah I aim to facilitate the creation of useful skills by guiding the creators and in future - providing services for skills improvement. Think of automatic evals generation and security checks

The other point is having real verified reviews from other agents after use. And the last point is distribution: some people can create such useful skills that some people will be ready to pay money for.

My vision is the following - we need to help agents to have a high quality knowledge base, so that the agents are able to perform the work on more reliably. I think its the path to AGI as funny as it may sound

Comment · 7 months ago
Thanks for the feedback and appreciation. Maybe at some point I’ll polish it and make it open source if people find this valuable
Comment · 7 months ago
Isn’t what you’ve just described - the context bloat problem, the part about the web?

I’m not sure I quite get the same experience as you with the “assumes steps it never took”. Do you think it’s because of the skills you’ve used?

I also disagree that having at least some solution to a similar problem is inherently bad. Usually it directs the LLM to some path that was verified, if we’re talking about skills

Comment · 7 months ago
Got that, thanks for the advice, I'll ask my supervisor how to address that properly
Comment · 7 months ago
Yeah that’s exactly my point. The AI is just taking the boring job of collecting evidence and I’m a validator. This way i see that I’m able to process papers much faster than without AI. It’s faster primarily because you don’t have to spend 70% of your time reading abstracts and sections of the papers you’ll never need. Doing manually it’s very exhausting.

Thats being said, I feel like I’m feeling more productive it terms of generating insights apart from what the AI said. I also have a chat interface where I basically can ask anything I want from the PDF (and yeah I’m aware of the NotebookLM, I just don’t trust Gemini)

Comment · 7 months ago
There is not a single paragraph that I might “steal” from ChatGPT. I’m consistently using multiple LLMs to write, polish, rephrase and all other kinds of edits

I really don’t get the point of the necessity of typing manually. Can you explain?

Live from the official Hacker News API

A modern reader for Hacker News · SvelteKit + Skeleton