231–240 of 565 posts
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Or just write it yourself?
If you already know what the inputs/outputs are, why should you spend days or weeks of your life typing it out rather than giving it in a well-specified and tested form to an LLM to get it done a hundred times faster?
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I don't think AI has any real value for software development, personally. The quality just isn't there, unless you invest so much effort that you may as well have written it yourself. But the market can stay irrational longer than you can stay solvent, and even though I think the industry will get over the idiocy of having LLMs write software, there's no telling how long that will take. So it's a scary time to work i…
I envy you. For me, AI is faster than the code I write myself in many, many cases. It might replace the average developer, but a talented developer like you probably won't be replaced
I understand the point being made, but it does feel a bit like writing a post in the early days of the internet saying: "No, everyone is not using the internet for everything." Which would have been entirely true when written, and entirely false a relatively short time later. Everyone does use the internet for everything today, and everyone will use AI for everything soon.
In my non-tech circle, most people don't even realize how the internet is running literally everything. Even if we start to use mass scale AI for something, they wouldn't realize or care much about it. They at best turn on the TV to watch netflix or look at the phone to send messages on whatsapp. If all of that went away tomorrow, they'd be inconvenienced at best and then go on with their day to day life. This feels…
I'm not saying it is a good thing, but this is completely out of touch with how dependent (most) people are on these technologies.
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> Not having used agents and not being able to comment on what to do and what not to do with them is immediate out since early this year. From all the tech that we have, agents are really not that hard to learn on the job. They're also not a magical silver bullet.
True, but please don't give job seekers false hope with this statement. I commonly see 60 - 180 applicants for one open position. Good luck finding a hiring manager who wants to take a bet instead of going with proven experience. I think upskilling is the right move in this environment and it is dead simple: Invest a couple of days to show initiative, learn agents yourself and be able to speak from true experience.
You’re more or less admitting that you’re playing trendy tech lottery. Which is fine, but maybe not generalizable to the whole industry.
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If whoever is hiring is actually good at their job: yes. That is of course assuming that they're looking for some long-term stable team member. A skilled interviewer smells dishonesty. However, and to be fair, whether and how they act on it depends on the specific situation.
What is this "skilled interviewer" thing and where have you seen it?
Most of our stuff in this world actually does work, and the reason why it does is that skilled (teams of) people that care have built it. Meaning that these people can be found in many _many_ places.
On the post-grad job hunt right now - I note that most employers will ask in a technical interview or whiteboard interview "how are you using LLMs?" It's tough to answer because you want to hedge for both an AI enthused employer and an AI hesitant employer with limited information about who they are and how they personally use these products. I've been responding with a sort of long winded answer about how 'there is…
Replying as a hiring manager since this might help other post-grad job seekers: - Any long-winded answer to a question is immediate out and has been for years. - Not having used agents and not being able to comment on what to do and what not to do with them is immediate out since early this year.
Some of the advantages are second order. For example; ChatGPT is replacing my Google searching. Not necessarily because it's better, or because it's summaries are better than Google (I find them subjectively better but it's not clear cut). But because the app has a nice history; can ask a relatively complicated question and go do something else and then come back to it, ask a follow up. Etc. None of that is specifica…
That's funny, Google Gemini and AI mode in search has replaced my ChatGPT prompting, because I know Gemini will correctly cite sources (as of course it's by Google) rather than hallucinating. Also, Gemini is free or at least has much higher usage limits than ChatGPT or Claude, and it's well integrated into Android and soon Apple with their new Siri, so things like circle to search just work well.
If I am honest I believe my final solution will be a combination of Open Claw, a custom knowledge wiki based on Wikmd. I just need a good all for Claw with history that is as good as gpt
Edit: and context too. It inferred my energy supplier from previously chats and so when I just asked a pertinent question it referenced their policy. Admittedly Google will have way more context if they get the product right.
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It's possible to work for an employer, and not have to compromise your values and or professional integrity. The attitude suggested by your response suggests you haven't lived that reality yet. Either way, I'd rather be rejected by an employer for speaking my truth, than lie to be somewhere I'd rather not be.
This a very condescending and privileged comment. The job market is much different when you're just starting out, and it's especially brutal these days for new grads.
"Speak the truth, even if your voice shakes"
But 2. For most other things, LLMs are fairly underwhelming. Research is usually mediocre. Try being rigorous and repeat your research prompt many times - then make a confusion matrix to tally up how many false positives and false negatives occur. And for the rest, be honest and ask yourself if the LLM is doing much more than a basic search engine query or trip to Wikipedia would have told you. For “normie” use cases, it’s handy-ish but far from revolutionary
This makes me less bearish on the AI investments that are being made, if 70% of the working age population isn't using AI then there still is a lot of growth. The future is here, it's just not evenly distributed (yet)