23 ms·

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

• nr2x 4y ago
  Natural language is now a fully functional user interface out of the box. This is bigger than the mouse.
  • mmcwilliams 4y ago
    I think the problem is that people working in the field have a much different definition of what "fully-functional" means than users who believe that they're communicating with an intelligent, all-knowing or otherwise infallible being.
    • nr2x 4y ago
      For my use case I use it for input processing, it’s just amazing that way. Hallucination is a huge problem, but you can avoid it.
      • mmcwilliams 4y ago
        I believe it. For text->text workflows it's a game changer. For anything touching a physical systems, even the highest-level path planning for robotics, there's a long way to go.
        • nr2x 4y ago
          It’s all about being very deliberate with your use. People are getting ahead of themselves right now for sure. It’s still a monumental leap in UX!
  • bmitc 4y ago
    Fully functional in what way? As far as I can tell, ChatGPT is a box that I put sentences into, and I get grammatically correct sentences that contains topics or words loosely statistically correlated to what were in my sentences, that may or may not be correct and often are not. The box has little to no memory. I honestly don't see what's so useful about this box.
    • sdenton4 4y ago
      The results are approximately as good as asking an intern, but the response is approximately instantaneous, where an intern takes a week to do anything. And similar to the intern, you can get better results with a bit of guidance and iteration. In short, humans kinda suck. LLMs also kinda suck, but faster than humans.
      • bmitc 4y ago
        > humans kinda suck Agreed, but that's part of my critique. These systems are written by humans and are trained with barely curated data generated by humans. There is the concept of emergence, but I'm not sure how emergence suddenly fixes a terrible foundation full of biases and errors.
    • weatherlite 4y ago
      > and I get grammatically correct sentences that contains topics or words loosely statistically correlated to what were in my sentences, that may or may not be correct and often are not. It's correct enough to pass the bar exam, medical exams, it scores 90-93 percentile on the SAT. This is way more complex and efficient than what you make it to be imo.
      • otabdeveloper4 4y ago
        > It's correct enough to pass the bar exam, medical exams, it scores 90-93 percentile on the SAT. So is Google Search, and we had that for a long time now. Is a slightly different and more verbose UI really a game changer? (Let's ignore the fact that Google Search is broken from all the SEO spam and monetization. Especially when we have no evidence that ChatGPT is any more resitant to this than Google was.)
• verelo 4y ago
  > I’ve been shown some neat pictures people made that they thought were cool. I don’t know that I need this every day. At least they’re less obsessed with apes than last summer…
• what-no-tests 4y ago
  I have read a lot of books (sociology, psychology, philosophy, history, religion, etc), and often I'll have an insight that stands in apparent contradiction with some concept I learned in one book but in alignment with a concept I've learned from another. I use ChatGPT to understand these concepts, their background, and to bridge the gap between them. Getting to the bottom of what Jean Baudrillard really was saying in "Simulacra and Simulation" and applying that to what Larry Wall meant when he said that Perl is the first postmodern language is really something!
• xpe 4y ago
  Stop looking for the “killer app”; that metaphor is not useful here. Language models don’t need to have one, two, or a hundred “killer apps”. They are likely going to be highly distributed. They can revolutionize every textual interaction point with any person, group, or organization. For worse and better. Instead, pay attention to how industries and people redefine themselves. There are going to be winners and losers.
• brookst 4y ago
  You’re asking “what’s so big about GUIs? Literally nobody has asked to move a pointer around a screen”. It’s the use cases these thing enable that are important. Today, I wrote a draft product announcement. Only after I was done did I realize I had written it in a really impersonal third person (“users will be able to”). No big deal, but maybe 10-20 minutes of work to make it energetic and second person (“now you can…”). 30 seconds with chatgpt. “Rewrite with more energy, in the second person, using best practices for announcements”). Six months ago I would never have asked for that. Today it was glorious and let me move on to focus on more important things.
  • cgearhart 4y ago
    Hmm…no, I’m not doubting the value of the interface. I’m asking what’s the “killer app”. Maybe I should just ask ChatGPT to explain it to me…
    • joe_the_user 4y ago
      It seems like the use of ChatGPT is something like "microtasks". Little things a given person could do but would rather not and so is able to delegate to an automatic thing whose output they can verify. It seems like it's potential as of today is increasing or seeming to increase the productivity of a segment of white collar workers in the fashion that email and the web did (or might not have). A lot of researchers might not have need for this and so not understand this appeal of this.
      • cgearhart 4y ago
        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”.
        • mos_basik 4y ago
          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 bag in less than 4 months?" "Yes" (it did show its work). One shot, perfect response. I know this kind of computational thing is what WolframAlpha was for, but that wasn't nearly as reliable. I know I could figure it out myself, but I'd need to find a reasonable figure for the density of rice and probably do some imperial metric conversions and generally futz around for longer than one would want to stand in front of a pallet of rice bags.
• AussieWog93 4y ago
  >I’ve seen “write a snippet of code” demos. I've used this part of ChatGPT before. Incredibly useful for getting the syntax of some library that you're going to use once in your life, then never again. Had a sysadmin mate do something similar to generate a simple Chrome plugin for internal use at his work. That alone justifies the price for ChatGPT Plus, IMO.
  • flir 4y ago
    I used it to knock up a browser extension tonight. My knowledge of JS is basically non-existent. It definitely paid for itself this month.
  • danenania 4y ago
    Agreed. It’s also great for things like “zip up all the files in this folder, upload the zip file to s3, and output a progress bar while uploading”. It’s not difficult in an architectural or algorithmic sense, but it takes time to refresh on the APIs, find a progress bar library, and how do presigned s3 posts work again? And you can make little mistakes, forget error handling, etc. You could easily spend an hour or more on something like this, especially if you haven’t done it before in x language. With ChatGPT it takes a few minutes. It can add up quite dramatically when you have a bunch of these kinds of tasks on the todo list. It does feel revolutionary to me as a productivity enhancer.
• satvikpendem 4y ago
  I use it for APIs. Specifically, I use it to help think about how I should architect my APIs, as well as how I should implement them. I can ask ChatGPT to do both things for me. Even if it's somewhat wrong, it still gives me a good enough direction to go on.
• csomar 4y ago
  You are not missing anything. It's a bubble. This is tech 101 and all over again. You gotta hype some new thing whether it's Web 2.0, Crypto or AI. LLM have proven to be great as a gimmick or making rather okay localized approximations. You can create a good enough image without any designing skills, or have auto-completion on steroids. However, there is no proof that this same tech can extrapolate to the next level. Most startups are putting their eggs on this single basket. I have the feeling that this will be what triggers another AI winter and some VCs will holding the bags... but why do I care?
  • zarzavat 4y ago
    I believe that you are half right. AI is going to radically change the world, but not now, maybe in 10 years. The pace of research is slower than the expectations of investors. This will lead to the perception of a boom and bust and AI winter, but in reality there will be slow steady improvements. It’s just been commercialized too soon.
    • csomar 4y ago
      There is also the other (very high in my opinion) possibility that LLM will hit a wall in regards to performance and a new model is required. It's unfortunate that the current VC landscape encourages this single shot mentality instead of diversification. This will not help in the AI winter since most people will be invested in the same thing.
      • ChatGTP 4y ago
        Wouldn't it stand to reason that LLMs should be obsolete in about a year due to the singularity event and the rapid speed which we're moving towards AGI and then onto exponential technology growth due to ASI? At this point, as an AI researcher, I guess you'd just have to sit back and watch is all unfold, very soon everything you do is obsolete almost immediately.
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• wuiheerfoj 4y ago
  I‘ve been using ChatGPT to: - write and explain me more optimised algorithms for certain cryptographic operations - explain funny mathy bits of papers that I don’t understand - plan me a few days of activities for a city holiday So far it’s been great on all accounts!! I was able to get a faster turnaround time in understanding the papers than I would if I were probing a colleague
  • twright0 4y ago
    What gives you confidence its explanations are accurate? > write and explain me more optimised algorithms for certain cryptographic operations This domain in particular strikes me as a poor choice for this approach. "Don't roll your own crypto... but definitely don't let a language model roll it for you, either"
    • wuiheerfoj 4y ago
      Well it gives me a direction to dig in - often papers use inscrutable notation or seemingly magical variables that I’m not sure where they come from. Will ChatGPT always be right? Probably not - but these are things I can validate better than no info at all! Re: crypto algorithms, the quert in question was implementing exponentiation for arbitrary sized integers. My own implementation was taking until the heat death of the universe to finish for big integers and I didn’t want to just copypasta an impl from elsewhere. ChatGPT‘s worked flawlessly and it was able to explain me certain tricks it used in depth (which I could independently verify from other sources). Would I ship it to prod? Not without a security audit, but that ought to be the case regardless when rolling your own (or even someone else‘s) cryptography :)
  • otabdeveloper4 4y ago
    This post is a clever joke, right? Right...?
    • greeny7373 4y ago
      You never read something on a paper and had no clue how to even start to get it? I talked about snippets of papers to work collueges. Chatgpt can do the same thing. And why wouldn't it? It's only here to help me to find something I can use for further understanding/googling.
• burlesona 4y ago
  I don’t think you’re missing anything. I like the “calculator for words” analogy that was posted on HN a few days ago. It doesn’t seem like a revolutionary product, but it does seem like a fundamental innovation which will then unlock many more complex things in subtle ways. Calculators were arguably the predecessor to computers, which are kind of a big deal :)
  • JBiserkov 4y ago
    > Calculators were arguably the predecessor to computers, which are kind of a big deal :) "A computer is a machine that moves data around and only occasionally performs computation on it." ;-) Computers aren't great, because they can compute numbers faster, they're great because we've managed to encode text, audio, video, geospatial, etc. information as numbers, which allowed us to perform complex text, audio, video, geospatial, etc. operations.
  • int_19h 4y ago
    It's a reckon-mill. https://gist.github.com/int19h/6fa34a86923cd681396393b21b9abce7 https://gist.github.com/int19h/6fa34a86923cd681396393b21b9ab...
• Robotbeat 4y ago
  Ask college kids. They’re all using it for everything.
• unit_circle 4y ago
  - Amazing translations (this alone is a game changer) - Language learning... The ability to improvise realistic conversations is huge. I can ask to talk about cooking a specific dish or a sport! - As others have noted, refining documents similar to grammarly - Looking for a product with extremely specific features (though it isn't very good at comparing yet) - Searches that are too vague and complicated to articulate to a search engine or use exact matching ...
  • spaceman_2020 4y ago
    I don’t think people dismissing AI have access to GPT-4 yet. GPT-3.5 did feel like a gimmick. GPT-4 feels like a team of really capable human interns. The potential really goes wild once you connect it to the internet and use stuff like autoGPT
    • rrrrrrrrrrrryan 4y ago
      This makes a ton of sense. I've been struggling to reconcile my personal experience with what I'm reading - it was so strange reading such dismissive comments by such a knowledgeable community about a new technology that's such an obvious game changer. GPT-3.5 was easy to dismiss, but GPT-4 is incredible.
  • skybrian 4y ago
    For translations, I use Google translate. Should I switch?
    • dodslaser 4y ago
      DeepL [1] usually does better in my experience, but I suspect Google Translate has gotten better since last time I used it. [1] www.deepl.com
    • frabcus 4y ago
      LLMs are better at context - as far as I can tell Google Translate only does one sentence at a time. With GPT-3 it infers things like gender and formality from earlier context. Not clear yet how good GPT-4 is as OpenAI won’t say what training data it has, even rough volumes, in each human language. Needs some thorough research testing it.
• terpimost 4y ago
  We are going to have almost on the fly translation of video and audio. We are going to understand and write code faster. Knowledge management will change so instead of being partly a tool which searches the web we will get human readable responses. Language model is about to improve language related things for us, how killer it could be?
• achenatx 4y ago
  its good for so many things: Need to write a speech as a best man Write a eulogy for a deceased family member Recently used it to speed up the time to fix an oauth problem in code I didnt write, knowing nothing about oauth. Replaces stackexchange with much more tailored answers. can take hundreds of pages of text and distill it down to an executive summary of any length Daughter uses it to explain how to solve algebra problems, not just give an answer. Will completely change education. Marketing using it for all content. Devs hate writing blog posts, it will take some code as an input and write a blog post about what it does. Can use it to come up with questions to seed a podcast Paralegals are virtually redundant. AI with all legal caselaw making it much easier HR using it to write customized offer letters, review resumes, etc. It isnt just about asking a question and getting an answer. You can keep adding context and the answers keep getting better.
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  • atq2119 4y ago
    > can take hundreds of pages of text and distill it down to an executive summary of any length This is the kind of breathless claim that no doubt fuels the skeptics. None of the context windows are large enough for "hundreds of pages" nor "executive summaries of any length". I did believe that it's possible to make LLMs do that kind of task with significant engineering effort to make it do summaries iteratively somehow, essentially "compressing" parts of the document recursively. But it's not something that you can just give to ChatGPT and have it work. So yes, the hype is real, in both ways: there's lots of potential to explore over the next years, but also a lot of the claims you read today are not sufficiently hedged, which makes them look outlandish.
    • chaxor 4y ago
      There are plenty of tools that make it possible, such as langchain and the rest
      • atq2119 4y ago
• jack_pp 4y ago
  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 inferred the data types for said columns. Then I asked it to write endpoints for retrieving a record from that table and it did so perfectly which again I was surprised by. Asked it to add endpoints for adding records and retrieving all records. Again, no bugs, perfect code. At the end I asked it to create a python script to test the API and it did so flawlessly. Next day I created a docker env with postgres and went to test the code but it didn't work, turns out it wrote it with mysql in mind so went back and told it to rewrite the entire code with postgres in mind and again it did so flawlessly so overall writing this small API endpoint took maybe 30-60 min. Considering I was a total newbie at Go this probably would have taken me several hours to complete successfully and this code is basically just boilerplate. I don't care to learn it by heart so I can be more productive in the future. Now that I have ChatGPT I basically don't have to, I don't have to write python to speed up my dev time, I can just have ChatGPT write the basic stuff in a highly performant language. It removed the only drawback which was more boilerplate.
  • riffraff 4y ago
    > 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.
    • bottlepalm 4y ago
      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.
• yummypaint 4y ago
  I think the killer app will involve adding more layers of AI to make something that is closer to an agent than a simple prompt completion engine. Maybe a more self-contained system that has an internal cycle of asessment, generating prompts, executing output, and readjusting prompts. These agents could conceivably work on long term, complex projects with minimal supervision or interaction. If a general purpose system can get a foothold and be even 10% as good as a person, it could be enough to fundamentally reshape the workforce.
• cma 4y ago
  > I’ve been shown some neat pictures people made that they thought were cool. I don’t know that I need this every day. 3d and motion and this becomes the holodeck, you describe a scene and it creates it direct to your vr goggles. Generative AI that can take in a scene and alter it rather than fully create it becomes real augmented reality from sci-fi: not just a HUD or greenscreened in elements, major transformations.
• bonestamp2 4y ago
  > I’m asking what people want the models to do every day, all the time I know three regular people using ChatGPT, here's how they're using it: 1. Franchise consultant: uses it to research opportunities, has it write business letters to franchisees he wishes to contact. Saves him time and is a better writer than he is. 2. Immigration lawyer: uses it to summarize info and write emails to clients. Saves her a ton of time. 3. School teacher: uses it to write report card and assignment feedback. It doesn't save any time at all, but the output is more elegant than if he wrote it manually.
• bionhoward 4y ago
  The thing has enabled me to upgrade a major code project into an exciting direction in a short amount of time. Paradoxically I find it does better with more difficult tasks because the prompts tend to have more detail. the thing can generate semantic cypher queries for combinations of combinations of combinations of elements if you want, it’s ridiculous at coding already and only gonna get more insanely good at it in the future. Yeah, sometimes it forgets context and you have to guide it a little, it still can rewrite a whole module in a new style with lots of specific changes under 2 minutes, good luck coming close to typing that fast even if you did know exactly what to write, coding feels pretty revolutionized overnight right now for me tbh
• nazgul17 4y ago
  I found ChatGPT helpful in a bunch of diverse situations. I'll go into detail below, but overall I think the most valuable thing it can do is understand questions that takes both knowledge (that I don't have and want to acquire) and understanding (that prior AI technologies did not have) and provide meaningful answers. I suppose I find it very useful for my own education - with the understanding that I should use 2 or 3 grains of salt when reading its answers. For example, I am studying Japanese and often encounter expressions that seems to mean the same thing; I would ask my teacher, but her time is limited. I can instead ask ChatGPT and only bring to my teacher the questions whose ChatGPT answers did not convince me. Another example: I like understanding why there are certain steps in a recipe. It would be hard to find someone with the knowledge and time to answer the question, never mind I should pay for their time. ChatGPT can explain what I want to know at the level of detail that I want. I was also able to get a decent understanding of a mathematical question I had no business understanding by recursively asking questions until I was able to link its answers to my own knowledge. It was also able to answer questions about the Spring framework that I had while reading the documentation itself. In that context, going in rabbit holes severely slows down learning and has the potential to just get me lost.
  • glandium 4y ago
    Be wary with ChatGPT and Japanese. As someone fluent enough and using ChatGPT for inspiration in writing, as well as to find words that either I have "on the tip of my tongue" but fail to remember, or find idiomatic expressions that I may or may not have heard of, ChatGPT can come up with weird hallucinations (Edit: to the point of making up words, I guess mainly because its tokens are at best at the character level ; knowing that, it's amazing it performs as well as it does, honestly). I always double check with Google searches, but at least ChatGPT gets me somewhere where I can actually search for something useful. Relatedly, sometimes, even with an initial prompt I've used in the past to make it do what I need to a text in Japanese, and despite everything I type being in Japanese, sometimes it decides to respond entirely in English. It can also be really bad with context. Because in Japanese, the subject is often omitted because it's known from context, ChatGPT often mixes things up when rewording or summarizing.
    • 4y ago
• Salgat 4y ago
  It replaces googling. All the hard work of finding relevant info and piecing it together is done for you. For programmers it's just a faster stackoverflow.
• SanderNL 4y ago
  You, good sir, have a disturbing lack of imagination. What I can ask my computer has just leaped from templated strings to raw human conversation. I have a hard time imagining something not getting impacted. First of all iPhone autocomplete.. (but I guess any decade old RNN is an improvement there)
• olalonde 4y ago
  To be honest, I can't tell if you are genuinely wondering or just (virtue) signaling that you're not using it, but here's a sample of my own usage: https://news.ycombinator.com/item?id=35299121 https://news.ycombinator.com/item?id=35299121
  • cgearhart 4y ago
    Not virtue signaling, but I seem to be asking a different question than people are answering. I’m asking what the product opportunity is and people keep telling me examples of tasks that they use it for. In many cases the examples are one-off and the only product opportunity is the generative model interface itself. Looking broadly over the replies what I’m seeing is “there’s a thing that used to fail the cost/benefit test, but now the cost is so low that I can automate these things”. So part of my problem is (1) the small benefits of these tasks mean the value proposition comes from volume—that probably comes from the generality of the task engine, and (2) there may be some niche product opportunities on top of the model platform, but the primary big winner here is the platform itself. (That’s not necessarily a new insight, but it seems especially true here.) The terrifying part is how often I hear people in this thread and elsewhere mentioning tasks that are not fault tolerant to the failure modes of these models. (For example, I had a coworker tell me their relative is a doctor using ChatGPT to diagnose patients.) People keep focusing on the risks of AGI killing us all with paperclips, but I’m much more worried about getting run over by some idiot asking ChatGPT to drive their car.
    • olalonde 4y ago
      > Not virtue signaling, but I seem to be asking a different question than people are answering. I’m asking what the product opportunity is and people keep telling me examples of tasks that they use it for. Sorry, I misunderstood. "I am not using AI" has become a sort of badge of honor in certain communities so I was wondering if that's what it was. > (2) there may be some niche product opportunities on top of the model platform, but the primary big winner here is the platform itself. (That’s not necessarily a new insight, but it seems especially true here.) I agree with that conclusion. I think the chat interface is the killer product. I treat ChatGPT as an assistant/intern that is really good at some tasks but that can also sometimes make dumb mistakes. It has also replaced a lot of queries I would have previously done on Google or questions I might have asked somewhere (e.g. in a forum, Reddit, Discord, etc.). Many startups build domain specific UIs on top of it using the API, but whether that will become a sustainable business model remains to be seen[0]. I am reminded of the many "vertical" search engines that were once trying to compete with Google. [0] Saying this as someone who did something like that: https://eli5.gg https://eli5.gg
• chociej 4y ago
  I use it to plan meals and make grocery lists each week. It's very good at that task, and it saves me a lot of monotony.
• chasil 4y ago
  Parent article said the pressure was "be the first or be the best." The proper answer is "to be correct." Thousands of Africans sat at their desks, trying to achieve correctness. This will become a (correct) commodity, but not today. (Unless you are really good at differential equations.)
• logicchains 4y ago
  Have you heard of "editing"? Or "translating"? Those are entire industries that can now be almost entirely automated with no loss of quality.
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• version_five 4y ago
  It's a hype bubble. There's a small group if die-hards in the tech-adjacent VC community that talk it up to no end and attack anyone who disagrees (I just saw a guy ask you if you were "virtue signaling" with your post - lol. And there's lots of people exploring how it could potentially be commercially useful - just like with blockchain. As everyone points out, it's got more going for it than blockchain did because it does something more tangible. But the jury's still out on the long-run commercial potential of pretty good autocomplete or chat-as-search. It's probably more than zero (like blockchain), but it won't "change everything". I'd guess that 90% people either agree with your observation or don't notice / care. It's just that these things bring out the vocal defenders, usually a sign people know deep down it's a bit of BS and post out of insecurity
  • petesergeant 4y ago
    I think you're wrong. I never bought into the blockchain hype, and blockchain added literally nothing to my life other than some speculation right at the beginning. I would pay $200 a month for ChatGPT, today, without thinking twice about it. That alone makes me think it's a much, much bigger deal than you think it is.
    • throwaway2037 4y ago
      Why is this downvoted? It is a good point. My flatmate has a PhD in comp sci, does AI/ML research. He is now paying for ChatGPT "pro" because he is non-native in English and needs a bit of help to improve when writing his papers. He said ChatGPT is so good that he is learning a lot about English by just reading the corrections/improvements. And yes, we have talked/agreed about the scam/sham of blockchain/defi.
  • epigramx 4y ago
    > it does something more tangible it does something more superficially apparent to naive people. decentralization is extremely more important. it will be one of the main ingredients of direct democracy.
  • greeny7373 4y ago
• version_five 4y ago
  Sorry, one other thing, as an actual AI researcher: These generative models, whether NLP or vision, are cool but are really examples from a very narrow field. Most ML researchers and practitioners are working in completely different areas and would not obviously benefit from the new generative models (which are themselves prodictized extensions of existing tech trained on more data) so nothing's going to change day-to-day. If you were working on some alternative general purpose generative model, maybe you got scooped. Otherwise it's business as usual. The "revolution" is happening for tech savvy non-ML people, "tech-bros" colloquially.
• TheAceOfHearts 4y ago
  I have a friend that has been using ChatGPT to help him write technical books which collect existing niche information and present it in a way that's more accessible and organized, in Spanish. You'd be amazed by how many small niches there are without robust technical books and well organized resources. And while the information is all "out there", it's often not really easily accessible to beginners.
• simion314 4y ago
  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.
• bottlepalm 4y ago
  For a non native English speaker it's amazing. It can take any very broken blob of text and turn it into perfect English.
• unboxingelf 4y ago
  I defined an interface and asked ChatGPT to implement it, in Go, as method receivers on a struct named “repo” against sqlite. The code compiled and I wrapped it in unit tests to ensure it worked. Overall saved me an hour of boilerplate, would recommend.
• deltree7 4y ago
  LLMs will make average and below average writers / marketers / PR to become extremely good. You no longer can mock "Please do the needful" from $1 / hr employees from India. They will be communicating at the same level as an average American and the smart ones can completely take over large fields. A single person, can wear multiple hats and not get blocked. This can apply at global scale of at least 4 Billion. Just because you lack imagination doesn't mean it isn't good
• danschuller 4y ago
  One thing I find it really great for is language learning. It can create examples, explain grammar, contrast to languages you already know etc. Also I'm not a sys admin but occasionally have to do sys admin things and I ask for the shell commands I need in English, it is far far faster than using stackoverflow etc. (i.e. pulling logs from multiple servers and extracting bits) Also I don't want if I want to use a library I ask for what how I want to use it and get a small example entirely tailored to me.
• donkeyd 4y ago
  > What am I missing? I'm going to guess (assume) you probably haven't worked in a 'real' business. A place where elbow grease still does the majority of the work and where Windows 8 was only just phased out. The killer app (to me) in case of GPT is GPT itself, not ChatGPT. ChatGPT just allows me to easily test use cases for GPT. There are many interesting use cases for those elbow grease businesses for GPT. For example: Data entry. There's still a lot of data entry being done from unstructured text. Where specifics like names and addresses need to be extracted from letters and emails and contracts and other stuff. I've worked on these challenges before using different strategies and GPT blows my mind with what it can do just by asking to grab this data and format it as JSON. Is it 100% correct? Nope. You still need people to review the data (depending on the use case), but that already saves tons of work. Categorization. Some companies still get tons of emails that need to be forwarded to specific departments. This is another thing that GPT does surprisingly well out of the box. And that's just GPT. There are many other legacy business processes that can be automated (partially) by other models that are coming out right now. Even just 'segment anything' that Meta just released is incredibly useful for many use cases I've seen in my daily work. Killer apps are always a combination of a technology to solve a real world problem. If you don't venture into the real world and only stay part of the tech world, seeing the killer app is very difficult and ends up leading to Juicero-like products.
  • naavis 4y ago
    > There's still a lot of data entry being done from unstructured text. Where specifics like names and addresses need to be extracted from letters and emails and contracts and other stuff. I've worked on these challenges before using different strategies and GPT blows my mind with what it can do just by asking to grab this data and format it as JSON. Is this data confidential or something you are willing to send to anyone? If the former, you probably shouldn't be sending it to an AI company that retains the data for its own purposes.
    • donkeyd 4y ago
      This is very confidential data, which is why the current implementation is run on-premise and of course I'm definitely not using production data to test GPT capabilities.
• Irishsteve 4y ago
  similarly what’s the point of stackoverflow or wiki when you can just get the answer you want from a book in the library. What I value about these lls is that they are essentially a condensed version of the internet (despite being stupidily large for normal hardware currently) Usually if I’m building a recommendation or search algorithm I have to use the data from the company I’m working with. This makes it possible for me to encode the entire internet into a model that might be running on a product that only has 100 users.
• prox 4y ago
  For me, it gives an inkling of a web that existed before, with less friction. Instead of going to a webpage with verbose ad-ridden fluff, I get a more or less frictionless answer, very specific to my question. Funny enough I don’t use it a lot for programming, maybe just to jog my memory on a topic.
• martindbp 4y ago
  What is the killer app of the internet, or the smartphone? It's a silly question. It's many little things, some foreseen and some not. One thing you're missing is that we now have a pretty good solution to any NLP pipeline that in the past you'd have to spend months to get right. You can probably still get better results by supervised training on specific tasks but it's good enough. NLP (as we knew it) is dead. This will take some time to show in the applications we use, as people figure out how to use and integrate it, and costs need to come down, but it will make it trivial to add smart functionality for things you previously needed an in-house ML team for.
• CalRobert 4y ago
  Me? It takes the sql for dozens of DBT models and spits out the schema yml so I don't have to.
• CGamesPlay 4y ago
  > I’ve seen examples of “write an email to my boss”. It would take me longer to explain to ChatGPT what I want than to write these myself. You can integrate ChatGPT here to help with the proofreading and editing. If you have a list of points, you have have ChatGPT write an email, then integrate its changes. This is useful especially if English is not your first language. ([append]) Here's a quick example. These emails aren't great, but might be better than what I can come up with myself in 2 minutes. https://pastebin.com/dD22gR4y https://pastebin.com/dD22gR4y > I’ve seen “write a snippet of code” demos. But I hardly care about this compared to designing a good API; or designing software that is testable, extensible, maintainable, and follows reasonable design principles. It's super helpful when starting in a new space. I needed to write a python data munging script the other day. Using a few ChatGPT queries I found dependencies and understood the basics of using them. I still had to check the docs, but I jumped past the "tutorial" and straight to "API reference". > In fact, no one in my extended sphere of friends and family has asked me anything about chatGPT, midjourney, or any of these other models. The only people I hear about these models from are other tech people. Counter-anecdote, I met two copywriters working for media publications (non-tech) who both have had GPT-based services integrated into their workflows by the company management.
• deleted 4y ago
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• tomca32 4y ago
  > I’ve seen examples of “write an email to my boss”. It would take me longer to explain to ChatGPT what I want than to write these myself. You’re a better writer than me also English isn’t my first language. Besides that I used chatgpt to write a eulogy for my father. I know roughly what I wanted to say but I couldn’t find a good way to say it. Chatgpt helped me there even in my own language (Croatian) and there is just no way I could’ve made it as poetic as it did.
• jedberg 4y ago
  > In fact, no one in my extended sphere of friends and family has asked me anything about chatGPT A couple of weeks ago they wrote an episode of South Park with ChatGPT (and it was about ChatGPT). It's definitely gone mainstream amongst students who are using it to do homework.
• teaearlgraycold 4y ago
  For me it’s a perfect replacement for Stack Overflow. Except every solution is tailored to my exact code and situation. I’ve even gotten it to walk me through things like installing WSL 2 without using the Microsoft Store after I nuked all Appx packages. Maybe my favorite was pasting in pages of documentation describing all of the error codes for a library (the docs are the only source of truth) and getting it to output a very good typescript enum.
  • pg_1234 4y ago
    Probably because much of the time it's just a (hopefully correctly) curated subset of stack overflow ... tailored to your current focus.
    • teaearlgraycold 4y ago
      Fine with me!
  • deleted 4y ago
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  • csmpltn 4y ago
    You don't need a full-blown LLM to find answers to questions on StackOverflow. You can do that today with any search engine. > "I’ve even gotten it to walk me through things like installing WSL 2 without using the Microsoft Store after I nuked all Appx packages." That's a search engine query you can issue already today, without involving any LLMs. It will cost a fraction of the cost of running this with an LLM, and it'll actually bring you to the "source" of the information (a thread on StackOverflow with the full context - including "wrong answers" which are just as useful) - unlike an LLM.
    • FranzFerdiNaN 4y ago
      The problem with SO is asking questions though. It’s a horrible site for that purpose. I rather get a slightly wrong answer from ChatGPT than the insane experience of trying to formulate my question just right so it won’t get closed or deleted on SO.
• petesergeant 4y ago
  I use ChatGPT at least 10 times a day, as a software developer, and I agree with all your assessments about the use-cases you mention. Here are my ten most recent prompts: * Asking about how back-propagation works with multiple output nodes * Examples of successful ICOs * A deep dive into what it means to calculate the gradient of a function, with me asking lots of clarifying questions * A deep dive into how electricity pricing works in the UK, digging into the market clearing price * Looking for a generic "unwrap one layer of type" utility type in TypeScript * "In JavaScript, I want to format a date as YYYY-MM-DD_HH-MM-SS" * Seeing if there's a more concise way to get Zod to define an item that's required, but the value can be defined, other than using a union * Ideas for naming two user fields, one that's a changed user, one that's the user making the changes * Digging into the implications that Camilla is called the Queen Consort, not just the Queen * "Excel I want to show the weekday as a single letter" So, basically, it's my go-to instead of Google + StackOverflow
  • petesergeant 4y ago
    Also I've found it very useful for identifying books, TV shows, films, games, etc that I remember some details of (eg, was released around 1994, was about web design) but not all the details of
  • cgearhart 4y ago
    I’d be interested to see what it said about differentiating a function (and I’m assuming you mean in the context of programming). I consider that one of the dirtier secrets of gradient-based ML.
• barrysteve 4y ago
  In the long run, it will 'secure' knowledge and data. Nobody will know what's in GPT's databases. Currently you can command kagi/google/http websites to return information. You can infer what should be in Google's search engine and track when information is deleted. GPT is not commanded, it predicts with inaccuracy. So anybody who wants to black-hole information behind the scenes and never reveal clues to that fact, can do so. All failed predictions are covered by LLM's design, you cannot infer without serious long term study that something has been removed deliberately. You cannot infer that a valid data entry exists and you failed to retreive it, because unverifiable bs is the default failure state from LLM's. High level tech people will invest in this, regardless of what the public values in it. Just like Elon's SpaceX and Tesla got lifted out of pitfalls by gov and VC, so too will the AI guys. Let me put it this way. Hoarde and backup every scrap of online information you care about. Hypothetically an LLM fueled replacement for all of 'the free and open web' websites, could limit information availibity. A metaphorical example would be leaving out Tianamen Square. Which is fine when you can just Google it, but with the old freedom of information gone, an LLM has the ability to just bs you and you'd never have a reason to infer it existed in the first place. It's a Super-Injunction by default, a perfect repository for spies to dump data, a librarian who will answer any question but only answer with the truth, if he likes you. No more Snowden and Assange leaks, there's no way to chase up a deleted video with a search engine. Anyway you get the idea. In the long run, the structuralists are licking their wet lips at the thought of re-establishing a heirarchy of information access. (Probably, i don't know).
• iLoveOncall 4y ago
  My girlfriend and I use it to turn a short bullshit paragraph of corporate lingo into a bigger one. It's great for that, but that's it. GPT will only ever be a good writing support tool.
• deleted 4y ago
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• koonsolo 4y ago
  I'll ask you another question: What are people searching for on google right now that can't be answered by ChatGPT? I would say 95% of searches can be a simple question & answer of ChatGPT. I've tried it, it works.
• epigramx 4y ago
  It's just a glorified google search. You'd save more time googling what you need and picking 2-3 results to read briefly. People have no clue human intelligence has very little to do with "statistical analysis of old data".
  • greeny7373 4y ago
    [flagged]
  • literalAardvark 4y ago
    It can't replace search, actually. It doesn't know everything a decent search engine can find, and might not even remember the specific php command line parameter you're looking for. What it can do is reason some pretty tricky interdisciplinary answers. It's about as useful as having an intern that's finished literally every white collar college out there but has no idea what they're doing. It takes some prompting to get useful work out of it but it is possible and it is very effective when you get it right. The $20 sub has saved me quite a bit of time, the main challenge is remembering to set it to GPT4 for every damn conversation, as the previous models are trash.
    • DangitBobby 4y ago
      I use 3.5 because 4 is too slow and hangs half the time.
  • HDThoreaun 4y ago
    Google search is a trillion dollar product.
  • DangitBobby 4y ago
    It's actually quite a lot better than a Google search. Yesterday I gave it the output of SQL ddl and told it to write me a script in Go that reads that from a CSV, then I asked it to generate a sample CSV to verify the script. How is that different from googling? Lots of articles won't bother to include import and the structs they use definitely won't match up to your use-case because their dataset if different. What if my use-case is a bit strange and I need to embed the file instead of reading from the file system, for example? I can ask Chat GPT and it will update the example program, using my exact file name and the variable names for the problem I've described and the program runs as written! I don't write much Go (so I don't actually care to commit the hello_world.csv ritual to memory), but I know enough about it to verify that the program doesn't have any glaring issues and make my own tweaks as necessary. Saved so much time for me in this scenario.
• Fr0styMatt88 4y ago
  I’ll give you a concrete example from a few days ago in my job. I needed a quick utility window in the Unity editor to see what animations could fire animation events and what those were. I’m somewhat familiar with the editor API, enough to know what to Google and roughly where to go in the docs. I don’t do it enough though to really learn it beyond that point. So I’d estimate I could spend maybe one and a half hours, counting research, coding something, testing it and then context-switching back to what I was working on. On a whim I asked ChatGPT (GPT-4) if it could do it for me. Formulating the prompt took a few minutes. I included a short bullet list of what I wanted and told it what Unity version I was on. In almost an instant, it did it. I copied the code into a new file, added it to my project and it worked. Time from idea to the first working version was around 10 minutes. I asked for some minor refinement and then asked how I could extend it. It gave me starting points and taught me something new about Unity. All that slow doc searching, Google searching and forum-trawling was gone. It’s like having my own personal dev assistant.
  • girvo 4y ago
    One worry I have for the long term is: how will we learn or adopt new programming languages in the future, when LLM du-jour knows nothing about Language X? Will we be stuck with what we’ve got because LLMs make us too productive in them?
    • aezart 4y ago
      I'm very worried that machine learning will lead to stagnation in general, in programming and in art. People will accept the machine output and call it a day instead of making something new.
    • rrrrrrrrrrrryan 4y ago
      I thought about this as well. As long as the new language is well-documented, it should be simple to teach the LLM to use it.
      • girvo 4y ago
• kolinko 4y ago
  Text redaction - if any part of job is about writing, you can now just brain dump everything, structure it more or less, throw into chatgpt, and make it produce a clear and readable article. In my case, the output is better than anything I would ever write. Ditto all the redacting work in newspapers, intranet etc. The whole field of proofreaders was virtually extinguished overnight. Marketing agencies - and I spoke to a few - increased their workers' producitivity 2-4 times (sic!), virtually overnight. Anything from writing briefs to writing copy. Programming - most of my programming work is deep algorithms, so not much help here, but for writing boiler plate code with new APIs, or writing in a language that I'm a bit rusty in, chatgpt is better than anything else. Customer service helplines / chatbots (and the same for intranet) - we don't see it just yet, because it takes a bit more time to build a good system, but there are probably thousands projects right now worldwide building those for any niche concievable. Business intelligence - we used, with success, ChatGPT in our deep tech seedfund, for helping out with initial project ddil. And, essentially, rubber ducking, but for every single field out there. I just discussed with a psychiatrist how he can use even boilerplate GPT-4 as an additional consultant. You need to be aware of limitations of course, but it is already immensely useful in it's current form - and dedicated solutions for medicine are coming very soon. That's the short-term perspective and low hanging fruits. On top of that, you have thousands projects now, that are figuring out how to apply LLMs to specific niches. It was difficult before, because you had to train your own models, and now you can just fine tune the existing ones, do embeddings, or just plain prompt engineering. Oh, and also synergy with different AI modalities - we've had a massive growth in voice recognition and generation, visual recognition, and so on. And LLMs are a glue that adds a layer of understanding underneath.
  • thinkingemote 4y ago
    I hope you discussed data sharing confidential patient health information with third parties, openai etc. Nevertheless offline models should alleviate some of this.
    • kolinko 4y ago
      Yes, I did, of course :)
• throwaway2037 4y ago
  Note: When I write "Midjourney" below, I mean any AI/ML-based art generation tools. Art generation is going to be groundbreaking for the advertising industry. Basically, you can hire summer interns from arts academies or liberal arts schools to type cool stuff into Midjourney to generate amazing art for your ads. You don't need to pay for real artists, who, sadly, their original artwork was used to train the model. The same can be said for low-end graphics arts: Stuff like: Make me a greeting card for this big event. Today, you need to pay a graphic artists to whip something up in 2-72 hours. That will be replace by someone with modest English skills working in a call center somewhere in India or Philippines. They might chat with you for five mins (voice or text chat) to brainstorm ideas. Then, they will "drive" Midjourney and put together a nicely-themed party invite. On the more advanced side, I do think artists will browse the "best of" portfolios on Midjourney (and others) to get new ideas. They might also use Midjourney to get a head start. The next logical step beyond Midjourney is to generate the same image, but as a 3D model. I think people (myself included!) really (really, really!) underestimate the cost of creating 3D models for films, adverts, and games. If Midjourney could give you a starting model, you might save hours (or days) of work. Next-Next: Midjourney can provide basic animations of the same 3D model. Again, you can download in a wide variety of formats, so that you can import and tweak as necessary. Think: Pay to play. Rendered as GIF is cheap as hell, but download advanced CAD format with 50K points in the model might cost 100s of USD. (Remember: You are paying for a SaaS engine, not an expensive, talented artist.) Imagine: "Hey Midjourney, I need a 60 second animation of cute animals, like Animal Crossing, sitting at a table enjoying our new brand of tea called 'It's Great Tea Meet You!'." (Use ChatGPT to generate the first draft of the script.) Writing that just made me think: Ok, now you can add voiceover. The possibilities for the commercialisation of generating still and moving picture are nearly endless, and many will be useful for the advertising, film, and gaming industry.
• gonzo41 4y ago
  In the content space. There's whole publishing industries that are at risk from GPT style models. Would reddit, or HN still be interesting if there were bots that talked in the popular tone of the subreddit or thread that dominated the conversation? AI's effect will be like pollution to our culture. It'll speed up and help alot of things and be very helpful generally. But It will create problems in 'human' spaces.
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• elcomet 4y ago
  I don't have the same experience as you at all. Most of my non-tech friends or family members asked me about chatGPT. You don't find it useful to write emails maybe because you're a native speaker, but it is extremely useful for non-fluent english speakers.
• PeterStuer 4y ago
  Most of the people asking the question "to do _what_, exactly" seem to have not much of a "knowledge worker" experience. Every non-tech person I showed GPT4 to was after a few tests immediately using it to speed up parts of their daily work. Most impactful is how it destroys the blank page/getting started barrier, second how easy it is to substantially change/adapt/refocus produced work. It is like having an incredibly efficient, patient and encyclopedic junior collaborator 24/7 at your disposal. It can't be trusted to fully automate without knowledgeable supervision, but it saves a boatload of time and effort.
  • notahacker 4y ago
    > Most of the people asking the question "to do _what_, exactly" seem to have not much of a "knowledge worker" experience. From personal experience I'd say the opposite: GPT lacks the specialist knowledge to produce useful writing or yield accurate answers in any of the markets I've worked in (I'll grant that less niche markets exist, and that GPT is pretty good at fixing the writing of people that lack English language writing skill) and it seems like people egging GPT as replacing most of those roles are all showcasing hypothetical "generate a website for an imaginary product with minimal brief" kind of situations which GPT excels at because there aren't any real world knowledge worker constraints imposed on their solution. That's definitely not to say it has no use, but lots of less technologically impressive accomplishments like data entry wizards and templates also have use without being considered transformative.
    • PeterStuer 4y ago
      As is already a cliche now: GPT will not replace your job. Your colleague using GPT will.
      • notahacker 4y ago
        As I already suggested: in my experience, certainty that GPT will be transformational in a field of knowledge work seems to actually be inversely related to experience of that field. A response whose certainty that GPT could be transformational to the stuff I worked on exceeded only by ignorance of what any of that stuff was is quite a good demonstration of that point... (and really, there's nothing particularly special about any of the stuff I've worked on, it's just GPT doesn't have relevant knowledge or a path to acquiring it so doesn't generate remotely adequate responses, struggles even more with novel concepts and would be terrible at real time discussion even if suitable interfaces to it existed and were unobjectionable, and that's before we get started on the privacy implications)
• ckw 4y ago
  Needed to safely move a bulk carrier on short notice recently: Q: Describe turning 180 degrees and continuing down stream with the current in a heavily loaded bulk carrier from a stationary position tied to a dock with five knots of downstream current using two 50 ton Ballard pull tractor tugs. Be very detailed and specific in describing the actions required to complete this action safely. A: To safely turn a heavily loaded bulk carrier 180 degrees and continue downstream with the current from a stationary position tied to a dock with five knots of downstream current, using two 50-ton bollard pull tractor tugs, you must follow a series of steps. These steps are designed to ensure a smooth and controlled maneuver while minimizing the risk of collision, grounding, or damage to the vessel, dock, and tugs. 1. Preparation: Prior to beginning the maneuver, ensure that all necessary communication equipment is functional and tested. This includes VHF radios, signal flags, and/or lights. Establish communication protocols and channels with the tugs and any other relevant parties, such as pilots and harbor control. Additionally, check the weather forecast, tidal information, and any local regulations or restrictions that may apply. 2. Positioning of tugs: Position one tug at the bow and the other at the stern of the bulk carrier. The tug at the bow will primarily be responsible for pulling and steering the vessel, while the tug at the stern will act as a brake and assist in maneuvering the vessel as needed. Securely attach the towlines to the designated towing points on the vessel. 3. Cast off lines: Once the tugs are in position and ready, instruct the crew to release all mooring lines from the dock. As the lines are released, the tugs will need to maintain tension on their towlines to keep the vessel in position and prevent it from drifting downstream with the current. 4. Initiate the turn: The tug at the bow will start the turning process by pulling the vessel's bow away from the dock and into the current. At the same time, the tug at the stern will push the vessel's stern towards the dock to create a pivoting motion. Both tugs must continuously adjust their power and positioning to maintain control of the vessel as it turns. 5. Manage the current: During the turn, both tugs must work together to counteract the effects of the five-knot downstream current. The tug at the bow will need to pull harder to overcome the current, while the tug at the stern will need to push and also act as a brake to prevent the vessel from gaining too much speed. 6. Monitor the turn: Throughout the 180-degree turn, the vessel's crew and tugs must maintain constant communication to ensure a smooth and controlled maneuver. Monitor the vessel's position, speed, and proximity to the dock, other vessels, and any navigational hazards. Adjust the tugs' power and positioning as needed to maintain control and avoid collisions or grounding. 7. Complete the turn: As the vessel approaches the completion of the 180-degree turn, the tugs will need to adjust their power and positioning to slow down the vessel and align it with the downstream current. The tug at the bow will ease its pulling force, while the tug at the stern will continue pushing until the vessel is properly aligned. 8. Proceed downstream: Once the vessel is aligned with the current and moving downstream, both tugs will gradually reduce their power to allow the vessel to continue under its own momentum. The tugs will remain close by to provide assistance as needed until the vessel is safely clear of the harbor and any navigational hazards. 9. Release tugs: When the vessel is at a safe distance from the dock and navigational hazards, and under the control of its own propulsion, the towlines can be released, and the tugs can return to their base.
• PeterStuer 4y ago
  "In fact, no one in my extended sphere of friends and family has asked me anything about chatGPT, midjourney, or any of these other models. The only people I hear about these models from are other tech people." I have the opposite experience. Everyone I meet outside tech has been exploring ChatGPT, or at least has heard of it and is extremely curious. And in non-tech student circles, a (non STEM) TA I know said students who until a month ago were bad to mediocre (8-12/20 scoring), are suddenly all turning in top 16-18/20 assignments this month. You can argue about what to do given this change, but you can not deny the impact.
  • revelio 4y ago
    I was sitting in a Starbucks yesterday sitting opposite two girls doing some language study and one of them was joking that the other should ask ChatGPT about some grammar point. This idea that only tech people know about it seems way off.
  • lagrange77 4y ago
    I have the same experience. And ChatGPT was the turning point. A few month ago, to my surprise i wasn't even able to excite my non-technical environment about DALL-E 2, not to mention other ML models, that would excite technical people.
• IanCal 4y ago
  Scrolling back through some discussions with chatgpt and a few things with bing (later ones more likely to be gpt4) * Explaining what a do/while(false) loop was for as I'd not seen that construct before * Discussing what DIDs were and how web DIDs worked as the RFC was very detailed in a lot of areas I just didn't care about. A discussion with a pretty knowledgeable person in the area was what I needed, and what I got. It explained what the well-known part was, explained my confusion around resolving to a document and resolving to a resource (where I was mentally stuck). * Creating a learning plan, diagrammed by mermaid, for progressing in bouldering. Each major step broken down into sub-parts to practice * Finding https://en.wikipedia.org/wiki/Bloom%27s_2_sigma_problem https://en.wikipedia.org/wiki/Bloom%27s_2_sigma_problem given bad explanations that didn't lead me to the right place in google * Finding https://blockprotocol.org/ https://blockprotocol.org/ given a shaky memory of "some composable ui framework by someone famous" iterating a little with bing. I had failed to find it before manually. * Explained and created a table of bouldering gradings as the place I go uses a different one to the videos I see * Discussed project ideas to do with my son, gave me great ideas around electronics that I think are a good fit as well as a few other things. The most useful part here was being able to say "that's too generic, I need proper projects" and "that's too simple for him" and have it update. It then also created some good explanations at different levels about how radios work, * General discussions about long term impacts of LLMs, potential use cases * Career advice * Generating art that we'll be getting commissioned for the house * NER without any coding * Generating ember templates, CSS and example filling data for a custom framework given a problem statement (what I'm actually building right now) * (edit) I just took requests from my kids and made them some colouring in pages with robots, firefighting robots, lego ninjas, owls, frogs and crabs. > In fact, no one in my extended sphere of friends and family has asked me anything about chatGPT, midjourney, or any of these other models. The only people I hear about these models from are other tech people. I've had family members tell me they've used it to create reports, and used it to create marketing copy, a website and lecture slides for others.
• wouldbecouldbe 4y ago
  Code things i've used it on: - I've thrown in jsx react components and asked to transform it to tsx - I've thrown in tsx components and asked it to write some tests - I've asked it to make an offline queue's so user requests are stored and saved once online again - I've asked to rewrite tests from enzyme to Jest - I've asked it to add a full screen function to react-native-video, which is annoying. Often Im doing something else in the meantime, like coding, in a meeting or having a beer. Finally we can be drunk and code at the same time ;). Joking aside, it's been a huge productivity boost, and if you ask things properly will write hugely detailed and correct code. I've also used to understand other languages/coding I was less familier with, for instance c and sql procedures. Above only works with v4, 3.5 is to inaccurate. But is indeed slow, small things I can do faster. With writing articles i've been disappointed so far, even corrections or styles I ask to adjust it puts in back in a few questions later. However writing children stories for helping my kid learn how to read it's really good, in every language. "Write a story for kids of age ... about ... use the following words". Came up with nearly perfect stories my kid loved.
• anotheryou 4y ago
  It's just good enough and approachable. But I agree, for what I do professionally it just doesn't even come close and I'm already quite efficient. From me and around me: - marketing asked me to show them the ropes of mid-journey yesterday, boss said "this will be the face of our new product" to one of my hasty "creations". - mom learns english with chatGTP because she finished duolingo - I wrote a PoC demo for a prompt engineering tool and gpt4 demo chat in a day. That would have taken me days without gpt4. (material design, storing in local storage, gobbling up the data specification, save everything on change not with buttons) - First draft for some diagrams in mermaid js worked well too, or converting from flow diagram to a swimlane diagram. - All kind of personal data cleaning: dirty list of emails > ready to paste in mail client, wall of text with broken new line characters > sub-headlines and paragraphs - virtual assistants (e.g. company chat-/voicebots), needs a bit of tooling but gpt4 is totally ready for it (apart from latency and price) - 30 minutes to a browser-add-on that marks tweets as "seen" so I can skip them if I scrolled past them before. (userscript to be precise) - understanding tax regulations %) What I'm waiting for: - better knowledge ingestion so it can use my notes - personalization over time - good dev-ops integration (push and deploy for me too). - maybe something to have better separation of concerns on code so the messiness matters less, not sure if possible :) - remote control my screen - running an LLM locally - have it build its own plugins for any website or service
• alexvoda 4y ago
  You are overlooking an important use case: SPAM. Spam of all kinds and at automated-industry scale. Imagine blog-spam written in a variety of styles so you can no longer easily identify it as such. Imagine chum-boxes that no longer repeat themselves and are harder to identify as such. Imagine ads masquerading as content, as it already exists, but at scale. And every time you slip up and click on one, it will learn a little more about you and create chum content better tailored to you. Generative AI will facilitate a flood of algorithmic spam. This kind of spam already exists, it just isn't scaled because it still takes time and resources to create and the people creating it are not the brightest, so for now it is easy to identify.
• golergka 4y ago
  Almost all office work is just reading words in boxes and looking at pictures and then writing words in other boxes. There's insane potential to automate it. Think b2b, not b2c.
  • acdha 4y ago
    “Almost all” makes me question how much experience you have doing those jobs. They exist but work which is truly that rote has been getting automated for half a century so what I’ve found is that what you see now tends to deceptively appear simple while hiding judgement, uncertainty, and inference. That’s especially true for things which involve liability. If Google builds a system to recommend YouTube videos and ads, it’s a win as long their error rate is below a certain level. If it’s your insurance company rejecting claims, however, people can die that way and the lawsuits for breaking contracts or legal standards can far exceed the believed savings.
• machiaweliczny 4y ago
  Killer app is that it's glue natural language code. It's not realised yet but it's gonna be BIG. It's simply gonna be copilot for everything.
• seydor 4y ago
  Yeah it is tiring, currently. But soon people will just enter one goal, "make me money" and the program will go on a loop, pausing only when making an important decision to get the approval of the owner Also, the input buffer of LLMs is increasing. Soon we will be able to begin with "write me a full 3D game"
• th3byrdm4n 4y ago
  I’ve got a codebase written in the extreme programming paradigm that has become a linchpin for operating our enterprise. I can fire up an AI to build out my missing unit tests in 10 minutes what would take a developer 3 weeks to accomplish. Scale that for 155 different projects … that’s over a year of development time in about 24 hours of compute
• deleted 4y ago
  [deleted]
• zirgs 4y ago
  Latvian is a language, that's spoken by less than 2 million people. It's irrelevant outside of Latvia. All of our government funded researchers who worked on natural language processing can now throw their work in the trash and resign. ChatGPT is leagues better than anything that they've done. And OpenAI weren't even trying. Windows wasn't even localised in Latvian properly until very recently. Google translate still spits out ridiculous translations. (Though it's better than before). Most software isn't even available in Latvian. Almost no video games are in Latvian. Only the most popular books and movies are being translated. Interested in something less popular - you better learn other languages. And now ChatGPT comes out and I can ask it to write C++ functions in Latvian. I don't need to learn English to be a programmer any more. Nothing like that has been done before. It translates stuff way better than google. And it will only get better. Imagine that there's a book that only 50 people from Latvia are interested in. Human translators aren't going to bother. But ChatGPT can do it easily. This is a very big deal.
  • wrp 4y ago
    Quality machine translation for less common languages would be a service worth paying for. Any links to examples and evaluation of ChatGPT capabilities?
    • famouswaffles 4y ago
      https://github.com/ogkalu2/Human-parity-on-machine-translations https://github.com/ogkalu2/Human-parity-on-machine-translati...
  • jimsimmons 4y ago
    Why is Latvian NLP research in trash? Real researchers build on advances not quit because of them. I'm sure GPT is not as optimised as it could be to process non-English text. There's clearly a lot of work to do. At least this is true for south asian languages and I'm sure is true even for popular Western languages like French or German
    • yobbo 4y ago
• brundolf 4y ago
  I have a group of nontechnical friends who use Midjourney constantly for D&D and similar games (both brainstorming and visuals for players)
• tomkarho 4y ago
  > I’m asking what people want the models to do every day, all the time. Rule 34. When in doubt, always defer to rule 34.
• r0b05 4y ago
  Instead of looking at use of an LLM in isolation, consider the value it could have in the future, combined with API's, other models, speech interface, etc. Sure, it can help you write an email now, but the real magic could be when these things come together in a symphony of intelligence.
• patrick451 4y ago
  There is no killer app because chat gpt is largely useless. It's results might be right, half right, half wrong, or totally wrong. All it's good for is spouting bullshit. It's like talking to a really outgoing, really confident used car salesman.