nadam · HackerTrans

6개월 전discuss

You put the "agent" word into apostrophes as if I use it as a marketing buzzword. No. An agent is an LLM in a loop with memory usage, with file system access, etc, which is usually more effective than just using an LLM as is, especially if you orchestrate these agents and subagents in a good way. In my opinion using the word 'ChatGPT' (a specific user-facing LLM brand) in these discussions is much more buzzwordy than using the word agent.

nadam

6개월 전discuss

Maybe. But I am working with these agents and I see the sophisticated patterns using LLMs, using ground truth data and human experts working together. It could be much more effective than 'patient asking chatgpt' vs. 'general doctor one-shotting a problem without AI assistance and enough context'.

nadam

6개월 전discuss

I am amazed at the false dichotomy (ChatGPT vs. Doctors) discussed in the comments. Let's look at it from the perspective of how a complex software is developed with a team of software engineers and with AI assistance. There is GitHub, Slack discussions, Pull Request, reviews, agents, etc...

Why a patient's health cannot be seen this way?

Version controlled source code -> medical records, health data

Slack channels -> discussion forum dedicated to one patient's health: among human doctors (specialists), AI agents and the patient.

In my opinion we are in the stone age compared to the above.

nadam

9개월 전discuss

I find it amusing how people take this 'leveling game' at big companies so seriously. The title they get at these companies become their identity. They live by the rules the company imposes on them. Amusingly almost the opposite of independent thinking, which they are so proud of. What I found during my career is that some people blossom at these big companies, and some, with equal talent cannot really realize themselves, while they blossom at other organizations, perhaps in startups, or just at more interesting problems. What some people do not realize is that this aspect that as you level at these companies 'you get the big picture more and more' is not really true in a lot of cases. Efficiency and big picture thinking is almost orthogonal. Efficiency is context dependent, high level thinking is less so. I have seen people getting the big picture on things even at low levels or even considered a junior, while people on high levels suprisingly small minded. Higher level at these organizations means that you are more productive in the given field, given organization, for some reason, this can be because of good political skills, because you work your ass off, or because you have a very efficient brain, but it does not necessarily mean that you have better high level vision, or taste or maturity even. Sometimes it is almost laughable how these people who treat these leveling system seriously and get to a relatively high level treat young colleagues. They are almost naive about how young people think. They think that L3 juniors cannot do anything alone. While I see even young kids playing with suprising autonomy if they are thinking in the right problem space.

True role models of mine never were/are L3, L4, L5, etc... They were/are awesome engineers or scientist from the get go. (Like the Johns: The von NEumann and the Carmack.) Experience lets you get better and better, but if you are stuck at a role or organization, the problem might be that you need to find something that you are more passionate about and not necessarily that you are low level because your thinking is not 'independent enough' or you are not 'high-level enough'. At least that is my experience.

nadam

작년discuss

I was just thinking about what AI assisted coding brings to the design discussion, especially as AI become more and more powerful and we rely on it more and more. You still want to make things modular and easy to understand so that AI understands it easily and the needed info to modify a module can fit in a relatively small context window, but the difference is that it is very easy to make large scale measurement about which code style is understood better by an LLM, so maybe some of these debates will be decided relatively objectively!

For the topic: the discussed topics are relatively trivial surface level stuff, mostly I agree with POSD, but these will be handled by AI anyway. I guess humans will use the spare brain capacity to deal with the real deep design questions (for a while).