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What it feels like to work in AI right now

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Re: What it feels like to work in AI right now

#311

Post by bottlepalm »

riffraff wrote: post #298
jack_pp wrote: post #243

Earlier quoted context omitted.

I thought about learning Go and Fiber to build the backend of a side project of mine and I did but as it goes for any new language / stack I wasn't feeling confident in it. Then ChatGPT came out and I thought what the hell, let's see what all the fuss is about. So I asked it to write me a struct for a table with the "id, name, longitude, latitude, news" columns. That worked well, I was surprised it automatically infe…

> Again, no bugs, perfect code How do you know? Either you know enough Go to be able to tell, and thus you'd be able to write this yourself, or you don't and thus you can't really judge. I mean, it probably is right, but this "I don't know something, but I trust what the chatbot told me" is what worries me about the rise of the LLMs.

Reading and validating code is way easier than figuring out how to write it in the first place. A lot of programming is the same - functions, conditionals, loops, libraries, etc.. The hard part is mostly semantics across languages. Way easier for GPT to do the first pass, then go through it and read up on the parts you don't understand.

Re: What it feels like to work in AI right now

#312

Post by simion314 »

cgearhart wrote: post #152

From my perspective it’s just _confusing_ to work in AI right now. We have some massive models that are doing some really neat stuff, and apparently hundreds of millions of people are using them—but I keep wondering: to do _what_, exactly? I’m not asking what the models can do, I’m asking what people want the models to do every day, all the time. I’ve been shown some neat pictures people made that they thought were c…

Imagine a code/progtamming AI that I can ask to code review my code and find my mistakes, write unit tests for my new functions.

I am tempted to write a small program to use to fix my Internet comments and fix my bad English exprimattion , I done some tests and I see that ChatGPT find the places in my comments that can be improved.

Re: What it feels like to work in AI right now

#313

Post by sdenton4 »

uxcolumbo wrote: post #281
jrumbut wrote: post #248

Earlier quoted context omitted.

I think this is a classic case of us overestimating the immediate impact and underestimating the long term impact. Right now, they are definitely useful time savers, but they need a lot of handholding. Eventually, someone will figure out how to get hundreds of LLMs supervising teams of millions of LLMs to do some really wild stuff that is currently completely impossible. You could spin up a giant staff the way we do…

I”m not in ML, so excuse this maybe naive question: > get hundreds of LLMs supervising teams of millions of LLMs What does this mean or what can you do with this setup… do you mean running LLMs in parallel?

Ask the LLM to perform a complex task by splitting it into sub tasks to be performed by other LLM instances, then integrate the results...

Re: What it feels like to work in AI right now

#314

Post by jacquesm »

mos_basik wrote: post #262
cgearhart wrote: post #234

Earlier quoted context omitted.

Thanks for your comment, I think this is actually very helpful framing! It at least gives me something more tangible to think about—“micro tasks”.

I, too, have been experimenting a bit to see if/how an LLM might help me. This microtask framing jives with my experience. One of the best examples so far for me (and it's truly micro) was at grocery store. Friend trying to figure out how big of a rice bag to get and avoid not finishing it before a long trip coming up. She knew she ate a couple of cups dry a week. "I eat 2 cups dry rice per week. Can I finish a 25lb…

50 cups of rice in a 25 lb bag, 4 months = 16 weeks = 32 cups at 2 cups / week. I think there will be some rice left.

Maybe this is one of those examples where this tool gives a confident and wrong answer even when it shows its homework?

Re: What it feels like to work in AI right now

#315

Post by [deleted] »

mos_basik wrote: post #262
cgearhart wrote: post #234

Earlier quoted context omitted.

Thanks for your comment, I think this is actually very helpful framing! It at least gives me something more tangible to think about—“micro tasks”.

I, too, have been experimenting a bit to see if/how an LLM might help me. This microtask framing jives with my experience. One of the best examples so far for me (and it's truly micro) was at grocery store. Friend trying to figure out how big of a rice bag to get and avoid not finishing it before a long trip coming up. She knew she ate a couple of cups dry a week. "I eat 2 cups dry rice per week. Can I finish a 25lb…

[deleted]

Re: What it feels like to work in AI right now

#316

Post by jacquesm »

bottlepalm wrote: post #311
riffraff wrote: post #298

Earlier quoted context omitted.

> Again, no bugs, perfect code How do you know? Either you know enough Go to be able to tell, and thus you'd be able to write this yourself, or you don't and thus you can't really judge. I mean, it probably is right, but this "I don't know something, but I trust what the chatbot told me" is what worries me about the rise of the LLMs.

Reading and validating code is way easier than figuring out how to write it in the first place. A lot of programming is the same - functions, conditionals, loops, libraries, etc.. The hard part is mostly semantics across languages. Way easier for GPT to do the first pass, then go through it and read up on the parts you don't understand.

It isn't in my experience. Understanding code that you did not write for a problem that you do not fully grasp is a lot of work. It's hard enough when you did write the code and when you do fully grasp the problem, which you'd have to if you were to write it yourself. Typically that's what first draft code is for: to see if you actually understand the problem.

Re: What it feels like to work in AI right now

#317

Post by bottlepalm »

cgearhart wrote: post #152

From my perspective it’s just _confusing_ to work in AI right now. We have some massive models that are doing some really neat stuff, and apparently hundreds of millions of people are using them—but I keep wondering: to do _what_, exactly? I’m not asking what the models can do, I’m asking what people want the models to do every day, all the time. I’ve been shown some neat pictures people made that they thought were c…

For a non native English speaker it's amazing. It can take any very broken blob of text and turn it into perfect English.

Re: What it feels like to work in AI right now

#318

Post by [deleted] »

mos_basik wrote: post #262
cgearhart wrote: post #234

Earlier quoted context omitted.

Thanks for your comment, I think this is actually very helpful framing! It at least gives me something more tangible to think about—“micro tasks”.

I, too, have been experimenting a bit to see if/how an LLM might help me. This microtask framing jives with my experience. One of the best examples so far for me (and it's truly micro) was at grocery store. Friend trying to figure out how big of a rice bag to get and avoid not finishing it before a long trip coming up. She knew she ate a couple of cups dry a week. "I eat 2 cups dry rice per week. Can I finish a 25lb…

[deleted]

Re: What it feels like to work in AI right now

#319

Post by letitgo12345 »

twelve40 wrote: post #177
letitgo12345 wrote: post #140

Earlier quoted context omitted.

"I'm looking for X. Can you give me a few options with the benefits and drawbacks of each" or "I'm looking for X. Can you ask me a few questions and give me a choice of products based on that" or "I'm looking for a product that does X, Y, Z. Can you find such a product for me" or "Does this product do Y/is compatible with Z/is an appropriate give for person P" I'm not saying this will happen. I'm saying it's a risk t…

sure, this is basically a fancy version of the current FAQ's, customer's QnA and current recommendations (similar products, recommended products). Would it be just so much better in experience that it kills Amazon? i kind of doubt it. Also, we're currently talking model that was trained on pre-2021 data and here we have an inventory in the millions that changes daily, so the tech has to catch up, too.

Asking for your preferences to figure out your product choices or searching for a product for you based on your given requirements is a lot more than just FAQs and Q&As. You can even imagine a fancier version where you describe say what kind of setup you want and it gives you combinations that are nice.

Also this could aggregate information not just on the product page but across multiple pages which is time consuming to do by oneself.

As for 2021 cutoff -- ChatGPT can now browse the internet and if Walmart built a bot that interfaces with ChatGPT, I'm sure they would be feeding it the latest info

Re: What it feels like to work in AI right now

#320

Post by jrumbut »

mach1ne wrote: post #263
jrumbut wrote: post #248

Earlier quoted context omitted.

I think this is a classic case of us overestimating the immediate impact and underestimating the long term impact. Right now, they are definitely useful time savers, but they need a lot of handholding. Eventually, someone will figure out how to get hundreds of LLMs supervising teams of millions of LLMs to do some really wild stuff that is currently completely impossible. You could spin up a giant staff the way we do…

>Eventually, someone will figure out how to get hundreds of LLMs supervising teams of millions of LLMs to do some really wild stuff that is currently completely impossible. This is an intuitive direction. In fact, it’s so intuitive that it’s a little bit odd that nobody seems to have made proper progress with LLM swarm computation.

I've read about people doing it, I haven't read about people achieving anything particularly interesting with it.

It's early days. There will be a GPT 5 I'm sure, maybe that one will be better at teamwork.

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