kshitij_libra

This seems very useful. Why not make it paid ? Do you think your customers won’t buy ? Have you tried ?

What would your customers need to make them want to pay for it ?

Do you plan to write the book ? I’d like to read it

IMG_0163 - Gold

nopes.. beyond starter projects, raw usage of chatgpt hardly leads to any gains in productivity in the enterprise setting .

So far no, but in the future with more specific and enterprise suitable tooling - likely

Yes, but then a PhD is a chicken and egg problem. You can't get into the top PhD programs under a respectable professor - unless you have some publications under your name.

So how does one get published, enough to get into a good PhD program?

Right. I think the ability to run tests/compilation as a feedback mechanism is definitely interesting .

I wonder whether the problem is that its landed on an incorrect output sample (i.e re-sampling another code output would fix it ) .. vs … a feedback loop on the compiler output is what it really needs ..

No, I meant to ask HN, but didn’t realise that if I put a URL it doesn’t start a discussion.. and now there is no delete button

> Other tasks have an element of looping which is really fundamental in computer science

Have you tried any of these agent based workflows that claim to be able to loop with some amount of reasoning ?

100% I’d rather have specialised LLMs that can solve some hairy problems like CSS , than what we have now

After using code LLMs' for a bit, I wonder whether there is significant productivity gain in using them. I found that its limited for me.

Main reason: a) to find the right code, I have to keep sampling it, and b) it doesn't seem to be able to solve larger / more complex problems that I actually find more need for.

I found some interesting research on combining planning-algorithms for complex problems, and some ideas on guiding the LLM's decoding process towards correctness by optimizing it via reward functions and reducing the search space. I've detailed and summarised the main points in the post above.

Questions:

1) Do you find code LLM's really useful? Please share some stories / examples where they help vs they didn't. I'm trying to form a better understanding they are just fancy, vs actually productive and useful to most

2) Any other research ideas being pursued in this field ? / what are you trying ?