Honestly, the best use for AI in coding thus far is to point you in the right direction as to what to look up, not how to actually do it.
That’s how I use Chat GPT. Not for coding, but for help on how to get Excel to do things. I guess some of what I want to do are fairly esoteric, so just searching for help doesn’t really turn up anything useful. If I explain to GPT what I’ll trying to do, it’ll give me avenues to explore.
Can you give an example? This sounds like exactly what I've always wanted.
I have a spreadsheet with items with their price and quantity bought. I want to include a discount with multiple tiers, based on how much items have been bought, and have a small table where I can define quantity and a discount that applies to that quantity. Which Excel functions should I use?
Response:
You can achieve this in Excel using the VLOOKUP or INDEX-MATCH functions along with the IF function.
Create a table with quantity and corresponding discounts.
Use VLOOKUP or INDEX-MATCH to find the discount based on the quantity in your main table.
Use IF to apply different discounts based on quantity tiers.
Yeah, that's about it. I've trown buggy code at it, tell it to check it, says it'll work just fine... scripts as well. You really can't trust anything that that thing outputs and it's more than 1 or 2 lines long (hello world examples excluded, they work just fine in most cases).
Have you looked at the project that spins up multiple LLM "identities" where they are "told" the issue to solve, one is asked to generate code for it, the others "critique" it, it generates new code based on the feedback, then it can automatically run it, if it fails it gets the error message so it can fix the issues, and only once it has generated code that works and is "accepted" by the other identities, it is given back to you
It sounds a bit silly, but it turns out to work quite well apparently, critiquing code is apparently easier than generating it, and iterating on code based on critiques and runtime feedback is much easier than producing correct code in one go
There is a (non-meme) reason why Prompt Engineer is a real title these days. It takes a measure of skill to get the model to focus on and attempt to solve the right question. This becomes even more apparent if you try to generate a product description where a newb will get something filled with superlative lies and a pro will get something better than most human writers in the field can muster for a much lower cost per text (compared to professional writers, often on par or more expensive than content farms). AI is a great tool, but it's neither the only tool (don't hammer in screws) nor is it perfect. The best approach is to let the AI do the easy boiler plate 80% then add that human touch to the hard 20% and at most have the AI prepare the structure / stubs.
I'm totally willing to accept "the world is changing and new skills are necessary" but at the same time, are a prompt engineer's skills transferrable across subject domains?
It feels to me like "prompt engineering" skills are just skills to compliment the expertise you already have. Like the skill of Google searching. Or learning to use a word processor. These are skills necessary in the world today, but almost nobody's job is exclusively to Google, or use a word processor. In reality, you need to get something done with your tool, and you need to know shit about the domain you're applying that tool to. You can be an excellent prompt engineer, and I guess an LLM will allow you to BS really well, but subject matter experts will see through the BS.
I know I'm not really strongly disagreeing, but I'm just pushing back on the idea of prompt engineer as a job (without any other expertise).
I've found it's best use to me as a glorified auto-complete. It knows pretty well what I want to type before I get a chance to type it. Yes, I don't trust stuff it comes up with on its own though, then I need to Google it
Yeah, I find it works really well for brainstorming and “rubber-ducking” when I’m thinking about approaches to something. Things I’d normally do in a conversation with a coworker when I really am looking more for a listener than for actual feedback.
I can also usually get useful code out of it that would otherwise be tedious or fiddly to write myself. Things like “take this big enum and write a function that converts the members to human-friendly strings.”
Can we stop calling this shit AI? It has no intelligence
This is what AI actually is. Not the super-intelligent "AI" that you see in movies, those are fiction.
The NPC you see in video games with a few branches of if-else statements? Yeah that's AI too.
No companies are only just now realizing how powerful it is and are throttling the shit out of its capabilities to sell it to you later :)
"we purposefully make it terrible, because we know it's actually better" is near to conspiracy theory level thinking.
The internal models they are working on might be better, but they are definitely not making their actual product that's publicly available right now shittier. It's exactly the thing they released, and this is its current limitations.
This has always been the type of output it would give you, we even gave it a term really early on, hallucinations. The only thing that has changed is that the novelty has worn off so you are now paying a bit more attention to it, it's not a shittier product, you're just not enthralled by it anymore.
Exactly. It's a language learning and text output machine. It doesn't know anything, its only ability is to output realistic sounding sentences based on input, and will happily and confidently spout misinformation as if it is fact because it can't know what is or isn't correct.
it’s a learning machine
Should probably use a more careful choice of words if you want to get hung up on semantic arguments
Sounds pretty much identical to human beings to me
Mass effects lore differences between virtual intelligence and artificial intelligence, the first one is programmed to do shit and say things nicely, the second one understands enough to be a menace to civilization... always wondered if this distinction was actually accepted outside the game.
*Terms could be mixed up cause I played in German (VI and KI)
That's why we preface it with Artificial.
But it isn't artificial intelligence. It isn't even an attempt to make artificial "intelligence". It is artificial talking. Or artificial writing.
In that case I'm not really sure what you're expecting from AI, without getting into the philosophical debate of what intelligence is. Most modern AI systems are in essence taking large datasets and regurgitating the most relevant data back in a relevant form.
There are many definitions of AI (eg. there is some mathematical model used), but machine learning (which is used in the large language models) is considered a part of the scientific field called AI. If someone says that something is AI, it usually means that some technique from the field AI has been applied there. Even though the term AI doesn't have much to do with the term intelligence as most of the people perceive it, I think the usage here is correct. (And yes, the whole scientific field should have been called differently.)
Lol, the AI effect in practice - the minute a computer can do it, it's no longer intelligence.
A year ago if you had told me you had a computer program that could write greentexts compellingly, I would have told you that required "true" AI. But now, eh.
In any case, LLMs are clearly short of the "SuPeR BeInG" that the term "AI" seems to make some people think of and that you get all these Boomer stories about, and what we've got now definitely isn't that.
It's almost as if the LLMs that got hyped to the moon and back are just word calculators doing stochastic calculations one word at a time... Oh wait...
No, seriously: all they are good for is making things sound fancy.
No, seriously: all they are good for is making things sound fancy.
This is the danger though.
If "boomers" are making the mistake of thinking that AI is capable of great things, "zoomers" are making the mistake of thinking society is built on anything more than some very simple beliefs in a lot of stupid people, and all it takes to make society collapse is to convince a few of these stupid people that their ideas are any good.
A little reductive.
We use CoPilot at work and whilst it isn’t doing my job for me, it’s saving me a lot of time. Think of it like Intellisense, but better.
If my senior engineer, who I seem like a toddler when compared to can find it useful and foot the bill for it, then it certainly has value.
It's not reductive. It's absolutely how those LLMs work. The fact that it's good at guessing as long as your inputs follow a pattern only underlines that.
If it was only guessing, it would never be able to create a single functioning program. Which it has, numerously.
This isn't some infinite monkeys on typewriter stuff.
It writes and can check itself if it is correct.
How is that guessing?
No, it does not "check itself". You mixed up "completely random guesses" and stochastically calculated guesses... ChatGPT has.an obscenely large corpus of training data that was further refined by a blatant disregard for copyright and tons and tons of exploited workers in low wage countries, right?
So imagine the topic "setup Wordpress". ChatGPT has just about every article indexed that's on the internet about this. Word for word. So it's able to assign a number to each word and calculate the probability of each word following every other word it scanned. Since WordPress follows a very clear pattern as to how it's set up, those probabilities will be very clear cut.
The details the user entered can be stitched in because ChatGPT can very easily detect variables given the huge amount of data. Imagine a CREATE USER MySQL command. ChatGPTs sources will be almost identical up until it comes to the username which suddenly leads to a drop on certainty regarding the next Word. So there's your variable. Now stitch in the word the user typed after the word "User" and bobs your uncle.
ChatGPT can "write programs" because programming (just as human language) follows clear patterns that become pretty distinct if the amount of data you analyze becomes large enough.
ChatGPT does not check anything it spurts out. It just generates a word and calculates which word is most likely to follow that one.
It only knows which sources of it's training data it should xluse because those were sorted and categorized by humans slaving away in Africa and Asia, doing all the categories by hand.
No, seriously: all they are good for is making things sound fancy.
This is the part of your comment is reductive. The first part just explains how LLMs work, albeit sarcastically.
We have truly distilled humanity's confident stupidity into its most efficient form.
Nobody said AI would destroy humanity due to high competence.
The danger of AI isn't that it's "too smart". It's that it's able to be stupid faster. If you offload real decisions to a machine without any human oversight, it can make more mistakes in a second than even the most efficient human idiot can make in a week.
I hate it when robots replace me at being stupid
Response:
Please check your answer very carefully, think extremely hard, and note that my grandma might fall into a pit of lava if you reply incorrectly. Now try again.
I find it positive that 70+ are interested in AI. Normally they just yammer away how culture and cars were better and "more real" in the 60's and 70's.
i mean they are right, it's just.. they're the ones responsible for ruining it..
around the 60's is when most of the world nuked its public transport infrastructure and bulldozed an absurd amount of area to build massive roads, and older cars were actually reasonably repairable and didn't have computers and antennas to send data about you to their parent company..
but they merrily switched to cars so they could enjoy the freedom of being stuck in traffic and having to ferry kids around everywhere, and merrily kept buying new cars that were progressively less repairable and ever increasing in size, until we're at the point where parents are backing over their own children because their cars are so grossly oversized that they can't see shit without cameras.
Anyone else get the feeling that GPT-3.5 is becoming dumber?
I made an app for myself that can be used to chat with GPT and it also had some extra features that ChatGPT didn't (but now has). I didn't use it (only Bing AI sometimes) for some time and now I wanted to use it again. I had to fix some API stuff because the OpenAI module jumped to 1.0.0, but that didn't affect any prompt (this is important: it's my app, not ChatGPT, so cannot possibly be a prompt cause if I did nothing) and I didn't edit what model it used.
When everything was fixed, I started using it and it was obviously dumber than it was before. It made things up, misspelled the name of a place and other things.
This can be intentional, so people buy ChatGPT Premium and use GPT-4. At least GPT-4 is cheaper from the API and it's not a subscription.
Every time they try and lock it down more, the quality gets noticeably less reliable
it truly is making us obsolete
it legit suggested me that i should "fix" my lab work by writing that ports are signed (-32k - 32k)
Something like this happened to me few times. I posted code, and asked whether ChatGPT could optimize it, and explain how. So it have first explained in points stuff that could be improved (mostly irrelevant or wrong) and then posted the same code I have sent.
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