Comment by threethirtytwo
15 days ago
That was true maybe 7 months ago. This is no longer the case. Harnesses use all kinds of tooling to edit things now.
15 days ago
That was true maybe 7 months ago. This is no longer the case. Harnesses use all kinds of tooling to edit things now.
People paste entire documents into gemini and chat gpt’s text boxes on the web and assume it will all turn out great
edit: apparently got beaten to this
I don’t understand you. We have an AI model. The AI model is obviously capable.
But you want to use pretend that it’s not useful because non technical people haven’t figured out how to properly use it yet?
Do you think that’s a valid argument? This article is making a claim of 25 percent degredation. Do you think that claim is true because a lot of people don’t use it right?
Humans have 99 percent degredation when editing one punctuation point of an entire book when regurgitating that entire book just to change one punctuation point. Does this statement sound reasonable to you? Because that is the statement you and your genius interloper into this thread are standing behind. Just replace human with LLM and it’s the same kind of genius logic.
I think you’re living in a bubble if you think the average user of AI even knows what a harness is
The vast majority of people are literally going to chatGPT, pasting in their document and asking for edits.
This will change too man. Maybe I am in a bubble but with how fast things are changing, it won’t be too long before the bubble becomes reality.
Either way we should be doing experiments on the actual capabilities of AI not about the stupidest possible way to use AI because it helps validate your own negative bias against AI.
Additionally as software engineers using agentic AI… which HN basically is… this experiment is not at all relevant in the context of where it is posted. We ALL use agentic ai and we all have the agent use surgical tools for editing. Don’t you find it strange that despite the fact we all do this, HN is full of rabid engineers gobbling this paper up as validation despite complete lack of relevance?
> This will change too man. Maybe I am in a bubble but with how fast things are changing, it won’t be too long before the bubble becomes reality.
You can’t get mad at an experiment for not happening in the future.
> Either way we should be doing experiments on the actual capabilities of AI
They simulated common end user behavior
>because it helps validate your own negative bias against AI.
We’ve gone from “this study is flawed because language models don’t do that” to “this study is flawed because while language models do do that, I don’t think that they will in the future” to “data that could support a bias other than my own is bad”
4 replies →
First off, It’s good to study all kinds of things isn’t it? Even if it’s not strictly practical.
Second, and more importantly these AI tools are EVERYWHERE right now. The effects of people using them for work can be seen throughout many industries and workplaces.
So I think studying how these models perform in the vast majority of use cases is not only a good idea, but it’s actually really important.
Even if you’re strictly pro-AI and believe it is the future, a study like this can help you explain to laymen why they need the harnesses you’re so in support of.
1 reply →