mfalcon

6 ms·

1.
by mfalcon 1mo ago
You can't simplify learning that way, learning is expanding your mental horizon, by learning something you grow and can take bigger things.
2.
by mfalcon 1mo ago
The LLMs are a way to get quick feedback and getting it promotes quicker learning (if the feedback is good). Learning is difficult, sometimes I get blocked on something and before llms that could prevent me from learning some material, nowa
3.
by mfalcon 2mo ago
Do you trust everything you read or how do you verify that the LLM is not hallucinating and giving you erroneus content?
4.
by mfalcon 2mo ago
SQL seems to be a great fit because of how easy is to verify the output.
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by mfalcon 2mo ago
Are you building something in this space? Or are you giving the resources directly to a llm chat interface along with some prompt?
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Ask HN: How are you using AI to learn?
9 points by mfalcon 2mo ago|23 comments
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by mfalcon 3mo ago
I think SWEs will still be needed but to do higher level work. The thing is, there will be less SWEs per company. Obviously I dont know ehat will happen, but my guess is that there will be more small companies highly specialized on specific
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by mfalcon 5mo ago
Agree, and for the delivery-riders side, you and some vlose people can start making the deliveries if possible.
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by mfalcon 5mo ago
I don't know what requires more skills: creating Bitcoin or avoiding getting identified after all these years.
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by mfalcon 6mo ago
"Just when I thought I was out, they pull me back in"
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by mfalcon 7mo ago
You have to evaluate the llm responses. https://aunhumano.com/index.php/2025/09/03/on-evaluating-age...
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Verifying coding AIs for LLM powered software(aunhumano.com)
2 points by mfalcon 8mo ago|0 comments
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by mfalcon 8mo ago
In my opinion, conferences are mostly high noise low signal. My boss went to an "AI conference" last month and all the learnings he shared were things I was advocating already: - use claude code - evals are critical - don't u
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by mfalcon 8mo ago
The truth is that no one really knows. My approach is to "ride the wave", don't resist, just try to use it as an advantage and if not possible, adapt and look where I can keep adding value to the world. Currently I'm try
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by mfalcon 8mo ago
Wake me up at Opus 12
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by mfalcon 9mo ago
Would be nice to use as an interface to interact with Claude Code.
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by mfalcon 9mo ago
Nice, I'll take a look. I was thinking about building a benchmark similar to the one you described, but first focusing on the negotiation between the store and the product suppliers. Does your software also handle this type of task?
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by mfalcon 9mo ago
I was eagerly waiting for a chapter on semantic similarity as I was using Universal Sentence Encoder for paraphrase detection, then LLMs showed up before that chapter :).
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by mfalcon 9mo ago
I had been working on NLP, NLU mostly, some years before LLMs. I've tried the universal sentence encoder alongside many ML "techniques" in order to understand user intentions and extract entities from text. The first time I t
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by mfalcon 1y ago
You can evaluate with your programming language of choice.
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by mfalcon 1y ago
Good idea for a follow up post :)
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by mfalcon 1y ago
Yes, and these problems are more present in the first iterations, when you are still trying to get a good enough agent behaviour. I'm still thinking about good ways to mitigate this issue, will share.
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by mfalcon 1y ago
Hey fellow hners, OP here. Been working on agents for a while so I started sharing some things. The idea is to keep updating this post with a few more approaches I'd been using.
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Evaluating Agents(aunhumano.com)
42 points by mfalcon 1y ago|9 comments
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by mfalcon 1y ago
I know that the "understanding" is a stretch, but I refer to the Understanding of the NLU that wasn't really understanding either.
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by mfalcon 1y ago
I think that the natural language understanding capability of current LLMs is undervalued. To understand what the user meant before LLM's we had to train several NLP+ML models in order to get something going but in my experience we&#x2
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by mfalcon 1y ago
I guess it depends on how you use the LLMs. We implemented some workflows where the LLMs were used only for dialogue understanding, then the system response was generated by classic backend code.
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by mfalcon 1y ago
That's the way I'd used it, I've built a document with all the requirements and then gave it to CC. But it was not a final document, I had to go back and make some changes after experimenting with the code CC built.
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by mfalcon 1y ago
We're using gitlab issue tracker and it's not even close.
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by mfalcon 1y ago
I know you tried to hack it the same way as I did.

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