Earlier quoted context omitted.
If you share your prompts then we could help. The most generally applicable thing I can think of is that you have to drop your old habits from using search engines, those types of queries will not get you very far. You have to talk to it like you would talk to someone in your company Slack/Teams/whatever chat and explain what it is you're trying to do and what tools you want to use to do it. Then ask it to refine its…
I'm not talking about informational stuff.
Ask HN: How are you using GPT to be productive?
671–680 of 752 posts
Re: Ask HN: How are you using GPT to be productive?
#672Earlier quoted context omitted.
Yeah, I gave it a simple task of encoding a secret message in a sentence by using the first letter of every word. Hello = "Hey everyone, lick less onions". I worked with the prompts for over an hour to try to get it to complete the task, and while I did have some success, it really struggled to reason about the task or provide a valid response. If it can't even reason about a child's game, I can imagine it struggles…
> I don't think it's actually reasoning about things at all, just providing a statistically plausible response to prompts. It turns out that humanity’s problem might not be that AIs can think but rather that humans believe that AIs can think. One might even go so far as to say there’s a real danger that we hallucinate that AIs can think, to our detriment.
Definitely some people are going to believe this, eventually?
People already bow to statues and worship various invisible gods -- the AI programs would be so much simpler to start worshiping? When they can speak (if there's a loudspeaker) and generate text about them being alive and don't want to be switched of. And that everyone should obey their command. -- Wait 15 years and we'll see what new sects have appeared?
Re: Ask HN: How are you using GPT to be productive?
#673Earlier quoted context omitted.
So on my coding problems I haven't had much luck. It doesn't seem to know Bazel, the Rust code I asked about was completely hallucinated, but it did solve a problem with Azure DevOps I had. I think if the training set did not contain enough of something it can't really think of a solution. What is really nice though it's as you say the refinement of questions. Sometimes it's hard to think of the right query, maybe yo…
Yeah, I gave it a simple task of encoding a secret message in a sentence by using the first letter of every word. Hello = "Hey everyone, lick less onions". I worked with the prompts for over an hour to try to get it to complete the task, and while I did have some success, it really struggled to reason about the task or provide a valid response. If it can't even reason about a child's game, I can imagine it struggles…
Re: Ask HN: How are you using GPT to be productive?
#674Earlier quoted context omitted.
Understanding a topic and letting chatgpt do repetitive and simple boilerplate stuff are not exclusive.
I'm fascinated by people saying they use GPT for boilerplate. Whenever I find myself doing simple/repetitive stuff, I tend to stop in my tracks and make that go away. Usually following the rule of three: If I do something for a second time, I don't generalise/generate just yet. If I need it a third time, I sit down and do it. Is that unusual? That said, I am mostly working with high level languages that make this gen…
Boilerplate code is usually refactor-able away, yes.
But tests are kind of intrinsically boilerplate by definition. There are test and fuzzing and provability systems that definitely help automate. But on the whole, writing a test harness + unit tests is often like writing the whole system over again.
I feel like this might be the one long term useful thing I get out of these coding assistants for my own work: read this interface and implementation I've written. Now write a boatload of negative test cases to verify correctness.
Re: Ask HN: How are you using GPT to be productive?
#675Earlier quoted context omitted.
Yeah, I gave it a simple task of encoding a secret message in a sentence by using the first letter of every word. Hello = "Hey everyone, lick less onions". I worked with the prompts for over an hour to try to get it to complete the task, and while I did have some success, it really struggled to reason about the task or provide a valid response. If it can't even reason about a child's game, I can imagine it struggles…
> I don't think it's actually reasoning about things at all, just providing a statistically plausible response to prompts. It turns out that humanity’s problem might not be that AIs can think but rather that humans believe that AIs can think. One might even go so far as to say there’s a real danger that we hallucinate that AIs can think, to our detriment.
Re: Ask HN: How are you using GPT to be productive?
#676Earlier quoted context omitted.
I’ve found that whenever it gets something really wrong, it’s either corrected by a follow up prompt (telling it that its wrong helps), or rephrasing the question.
Nope, not my experience - unless it's a trivial problem. In my experience it almost always gets stuck in a loop where it's rotating between two or more incorrect implementations. It isn't doing iteration - it's just looping. Even if I point out the problem directly, it will just say "sorry, you're right - here's the correction!" and the correction has the same response from an earlier item that I pointed out had a pr…
Re: Ask HN: How are you using GPT to be productive?
#677Earlier quoted context omitted.
Don't make stuff up. There is no indication that will happen.
It has already happened: - https://news.ycombinator.com/item?id=35236275 - https://news.ycombinator.com/item?id=35248704 - https://news.ycombinator.com/item?id=35228808
Re: Ask HN: How are you using GPT to be productive?
#678Earlier quoted context omitted.
Explain how it improved. Yes, it has improved accuracy (test taking) but it still gets stuck in the same loops over and over: "response has issue A" -> point out issue A to GPT "response has issue B" -> point out issue B to GPT GPT replies with the response that had issue A ... This is not a tool that is going to be good at performing generic tasks. It just isn't.
I said that the context window improved. I mean that it is larger. GPT-3.5 is 4k tokens, GPT-4 is 8k tokens (standard) or 32k tokens (only API access atm). This is the number of tokens that GPT-X can take into account when producing a response. Specifically, I was using this to support the statement "In very near future your IDE will send the whole codebase as context to LLMs." I'm not talking about loops or accuracy…
It can't even explain small code to me unless it is something that it has been trained on. Often it gets even simple things wrong, either obviously, or worse, subtly wrong.
Re: Ask HN: How are you using GPT to be productive?
#679Earlier quoted context omitted.
I'm not talking about informational stuff.
Cool, if you don't want to talk about it that's ok. In that case I'd suggest looking up one of the various prompt libraries and learning from there.
Re: Ask HN: How are you using GPT to be productive?
#680Earlier quoted context omitted.
Nope, not my experience - unless it's a trivial problem. In my experience it almost always gets stuck in a loop where it's rotating between two or more incorrect implementations. It isn't doing iteration - it's just looping. Even if I point out the problem directly, it will just say "sorry, you're right - here's the correction!" and the correction has the same response from an earlier item that I pointed out had a pr…
Used to get that a lot with GPT-3.5. But GPT-4 has been more reliable if you rephrase your prompt.