20 ms·

I mean Google revolutionized search. Apple revolutionized personal computing. OpenAI revolutionized… rewriting things with slightly different wording? I’ve se

I mean Google revolutionized search. Apple revolutionized personal computing. OpenAI revolutionized… rewriting things with slightly different wording? I’ve seen so many breathless people posting “this would have taken me so long to search” and then I type 3 keywords from their massive prompt they crafted and find it instantly on Google. We’re talking 1000x or more faster. I feel like the same is happening in your comment. How often have I thought “damn I wish I wrote this blog post ever so slightly differently” in my life? Maybe a handful of times? And yes I’m including all generalizations of that question. But certainly fake girlfriends and summarization will be mid size fields. Image generation has some mid size potential. But these will be spread between many companies. I really think it has uses no doubt, but is it a revolution? Where? It’s not creative in the valuable sense - media, art, fashion, etc all will adopt it marginally but ultimately it will actually only serve to further the desire for genuine human experience, and cohesive creativity that we see it really falls flat at. It saves some marginal time perhaps if you’re ok sounding like a robot. Taking into account the downsides it looks like a hype bubble right now to me, and a draw in the long run. There’s just a whole lot of tech people trying to cash in on the hype.

melagonster 4y ago
if we only focus on this part. this function represents that most of content creator don't need to convert or reproduce their content to fit another group of customers.
rvz 4y ago
> Taking into account the downsides it looks like a hype bubble right now to me, and a draw in the long run. There’s just a whole lot of tech people trying to cash in on the hype. Techies will realize that they are just giving ideas to O̶p̶e̶n̶AI.com, Microsoft Word, Google Docs and Notion. It is just the same AI bros re-selling their hallucinating snake oil chatbot that are under a new narrative for AI. There is a reason why the only safe serious use-case of LLMs is summarization of existing text, since everything else it does is untrustworthy and is complete bullshit. Their so-called 'revolution' is a grift.
- spondylosaurus 4y ago
  Notion going all-in on the "AI" stuff is annoying/concerning to me. Mostly just that I live and die by a personal Notion wiki to keep my life organized, and if they eventually tank their service by investing too many resources into features that don't take off and I have to find a new tool to offload my brain into, I'm gonna be pissed...
  - eitland 4y ago
    I went with Logseq and for the first time in a number of years (actually since OneNote 2016, the last self hosted version) I am actually happy with my tooling again. It doesn't cover everything OneNote 2016 did, but it does a lot more in other areas and it is progressing nicely.
    - spondylosaurus 4y ago
      This looks great! Do they have a (decent) mobile app? Being able to jot stuff down whenever, wherever is a make-or-break feature for me...
      - eitland 4y ago
        The app is already usable, at least on iOS, but for now sync is a bit rough around the edges, i.e., I need to verify it is synced or it will overwrite and I have to fix it using the page history which thankfully exist.
- fomine3 4y ago
  English speakers tend to miss a huge use case: Translation.
  - rvz 4y ago
    A 'use-case' done worse with LLMs especially with reliability. Translation is already done without a hallucinating LLM and can be done offline. Summarization of existing text is the *only* safe and serious use-case for LLMs.
esquire_900 4y ago
The difference between your search query and theirs is clearly the level of expertise. Chatgpt has a great use case when you get started on a new subject; even with a very cluncky description it can point you into the core concepts of any field. Instead of reading 10 papers with are somewhat related but not what you are looking for, you can spend 3 minutes writing clumsy prompts and that's about it :)
- copperx 4y ago
  Exactly. Does anybody remember in the early internet days people laughing at their parents for googling things like "please help with my back pain my doctor sucks". Well, who's laughing now?
jrumbut 4y ago
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 servers now. There has to be a world changing application of that.
- mach1ne 4y ago
  >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.
  - contemplatter 4y ago
    In particular, it's odd that the greatest software developer in the world (ChatGPT) hasn't made progress with LLM swarm computation.
    - loandbehold 4y ago
      How is "LLM swarm computation" different that single bigger LLM?
      - staunton 4y ago
        It's easy to distribute across many computers which communicate with high latency
        alexvoda 4y ago
        LLMs are already running distributed on swarms of computers. A swarm of swarms is just a bigger swarm. So again, what is the actual difference you are imagining? Or is it just that distributed X is fashionable?
bionhoward 4y ago
It’s a hype bubble for hundreds of years and saying that doesn’t make chatgpt worth any less. I have definitely been surprised by this and gotta say I’m expecting AGI a lot faster now. Even if literally all it did was predict what the average internet user would write in a certain context, that’s huge, cuz when you integrate all the little advantages of all the weird things one person knows another doesn’t, the collective knowledge is worth more than the sum of the parts. A tool which can tap into the sum total of human knowledge 24/7 and more rapidly than I can propose more questions for it, mainly I’m just excited to play with larger context size models so I can include more code and get big picture ideas about groups of stuff that are too numerous for my feeble meat brain to reason about. 7-9 things in working memory has always been the thing that would make humans inferior to AI in the long run. Even if it’s not that insanely smart (but realize: intelligence is a probabilistic concept and computers are great at multiplying probabilities precisely) if the thing can fit more stuff in memory than us and type faster than us and it doesn’t get tired or overwhelmed and give up (imagine your capability in a world where you had no tiredness and unlimited self discipline) in time it’s inevitable the transformers put us all to shame, and the more complicated the topic, the bigger of a shaming it’ll be, since the more complicated topics have exponentially more relations to reason about. Who’s gonna trust a human doctor to diagnose their stuff if the human brain holds 9 things and the AI holds thousands?
- hutzlibu 4y ago
  "Who’s gonna trust a human doctor to diagnose their stuff if the human brain holds 9 things and the AI holds thousands?" The human brain can hold much more than 9 things and even though AI will be used in medicine broadly very soon, I really want the final diagnosis done by a human. Once true AGI arrieves, I might change my opinion, but that might take a while.
  - adalacelove 4y ago
    > AI will be used in medicine broadly very soon We have been hearing this since forever. Revolutions do happen but not the way we expect. My anecdotical experience: no one in my team of about 30 people developing SW uses ChatGPT or similar in their day to day. This may change, or not.
avereveard 4y ago
Llm are a tool that understand intent. It makes super easy to compose api into agent and give them a task https://python.langchain.com/en/latest/modules/agents/agents/examples/mrkl.html https://python.langchain.com/en/latest/modules/agents/agents... That is just the introduction, showcasing what level of sophistication you get with just Google and Wikipedia as tools Now imagine task rabbit or fiver as tools. Ai can make things happen in the real worlds. These llm have limited attention but infinite focus. You can parallelize them, you can have one direct a fleet of other llm, you can have llm checking input and outputs for correctness from the other models and feedback that information to the controlling model so that it can improve the promp to the other as it tries to reach it's goal And the goal can be far fetching (manufacture fake artsy trinket and import them from China to distribute etsy) or nefarious (produce subtle propaganda in a moltitude of wordpress website, register accounts on Wikipedia, reddit, create a sophisticate network of citations)
eitland 4y ago
> and then I type 3 keywords from their massive prompt they crafted and find it instantly on Google. Seems I and you have different Googles and you still have the one I had pre 2010. For over a decade now, Google has been including things I never asked about to the point where it would sometimes be easier to find it using Marginalia. Some say it is just because internet has changed and there is less ham and more spam, but the last few months I have been using Kagi and it proves it is possible to create a better search experience. And, if Google works for you, fine. Maybe you search other topics, use other keywords or are in another bucket wrt experiments, but from my perspective Google is now the same as its predecessors.
- nwienert 4y ago
  I actually agree Google has gone downhill. Yet for the 8 or so examples I’ve tested where I saw hyped GPT results, every single one google answers, usually in the top snippet, always in the first result. For politics shopping and some other topics it can be terrible, but I don’t think GPT is good at those either. I’m actually happy to be proven wrong here. If you have some examples let’s test it out. If it’s a true step function improvement I’d expect it to be easy to source examples.
  - eitland 4y ago
    Haven't used Google in a while but let me try.
jiggawatts 4y ago
You can program GPT in English. Let me repeat that: You can program GPT in English. ENGLISH! You're complaining about the first nuclear test bomb being impractical and uninteresting. How will this change the world? That huge monstrosity had to be affixed to the top of a test gantry and took years of effort by a veritable army of the best and brightest to make! No way it could change war, or geopolitics, or anything. No way.. This is the day after Trinity. The bomb has gone off. A lot of physicists are very excited, some are terrified, and the military is salivating. The politicians are confused and scared, and the general public doesn't even know yet. That doesn't mean the world hasn't changed, forever.
- valenterry 4y ago
  > You can program GPT in English. > Let me repeat that: You can program GPT in English. ENGLISH! What does that mean to "program GPT"? Do you mean program (software) USING GPT? I thought we already had COBOL, which is pretty much like English so business people can use it. Same for SQL. And don't we already have lots of low-code or no-code tools? Why do we need to program with ChatGPT if we already are beyond programming?
  - brookst 4y ago
    Not the person you replied to, but I see it the same way. GPT is an English (and other natural language) compiler. Not in the sense that you get a computer program out (though you can), but in the sense that it can automate anything without even needing a programming language, compiler, and domain specific UX. Low code and no-code tools still require thinking like a programmer. You define what you need to do, then implement, then get results. GPT often lets you go directly from spec to results. If the goal is programming, GPT is nothing special. If the goal is quickly reasoning over very abstract instructions, it’s amazing. The trick is seeing the new use cases. It really does come back to the GUI revolution: if you want to list files in a directory, the CLI is just as good, maybe better. But GUI makes photoshop possible. GPT makes it possible to say “summarize the status emails I sent over the past year, with one section per quarter and three bullet points per section”. And the magic is that is the programming.
  - 4y ago
greeny7373 4y ago
I need feauteres from n article description and chargpt can just extract it without any effort. I don't know any other library I could just use with this task with nearly the same quality besides some regex soup.
kolinko 4y ago
As for googling, here are some examples of queries you can try and see how it works: - summary of all the carbon neutral concrete methods, especially ones that can be done in a small industrial workshop as a prototype - I have allergies in Thailand, mid-february. What may it be related to? - list all the companies from Japanese stock exchange that have high debt rate Those are top of my head, but really anything that is either a super-specific niche, or requires merging a few niches together, Google won't help you with.
- lionkor 4y ago
  For all of those, you HAVE to be okay with a complete garbage answer. Are you?
  - alexvoda 4y ago
    A machine generating confident bullshit will be the perfect companion for con-men to partially automate their workflow. Humans are really gullible for the appearance of confidence. And humans are also very prone to wishful thinking.
- girvo 4y ago
  How do you deal with it straight up lying? My problem with this whole system is, if I’m asking those questions it’s because I don’t understand the field well enough to answer it myself, which means I can’t pick up on if ChatGPT is lying…
  - SanderNL 4y ago
    Fair, but not completely true. The Thailand examples gives a detailed reasoning. You can use those building blocks to check. If it says Thailand is a cold country and uses that in its argumentation, it's shaky. You don't have to be an expert climatologist to make this judgement. It's not just one clean answer and we're done. In my experience it is helpful in breaking the problem down into stuff you can Google.
    - 4y ago
alex-moon 4y ago
> Taking into account the downsides it looks like a hype bubble right now to me. 100% agree and so glad to see someone else say it. I feel like people are losing their minds every time we go through the same hamster wheel. To hear first hand, in the article above, the effect this is having on ML engineers breaks my heart.
deleted 4y ago
[deleted]
kevviiinn 4y ago
You act like writing itself doesn't take time and energy. It has sped up my grant writing 6 fold. Any long-ish form writing that I need to do now happens at warp speed
xpe 4y ago
> OpenAI revolutionized… rewriting things with slightly different wording? Yes, if you try hard enough, you can try to cast transformational shifts as trifling. - e.g. “Barteen, Shockley , and Brittain made a smaller version of the vacuum tube.” (transistors) - “Scientists discovered that light could carry information, like electrical wires do.” (fiber-optics) The effects (including the harder to measure cultural shifts) matter more than some uncharitable characterization. Also, the “it is not X” thinking is the result of present fixation. Such argumentation is, at best, quite narrow. Perhaps applicable in specific defined markets and situations but hardly a good mindset for making sense of how the world is changing. Hence the cliché, “The Stone Age didn’t end because we ran out of stone.” The psychological undertones in the comment above are probably “people, stop exaggerating”. From one overreaction to another, it seems.
rhtgrg 4y ago
To add to this, using ChatGPT feels great in the moment, because it seems to work so well. For example, asking it for an itinerary while traveling gives you something that looks great. However, once you actually start using it and see that the "ten minute walk" is actually an hour walk, or that a full third of the attractions it has shepherded you to are permanently closed, you realize that building that itinerary yourself from scratch using Google or TripAdvisor would take you less time than manually double checking everything ChatGPT says. It's also quite surprising that people still think ChatGPT is capable of logic. Even for a complete layperson, all it takes is asking it to draw someone's family tree as an ASCII chart to see that text prediction only goes so far and there's not enough of a relational concept in there to comprise knowledge. There are many examples of asking it to solve famous puzzles with minor variations where it fails spectacularly. The marketing behind ChatGPT is genius, but there is only so far you can go before the honeymoon is over and people start to really question what you brought to the table. Aside from that, ChatGPT isn't unique in what it can do, and others (including open source) are catching up fast. That being said, I'd still use it for something like language learning (and other types of learning), where follow up queries (such as why you'd use one word instead of another, or how to rephrase something to be more polite) unlock a significant amount of value. It can also be useful to write trivial code, though I doubt a serious professional would do this (for several reasons, such as privacy and liability). Ultimately, ChatGPT fits squarely under "tool" and not under "intelligence". It seems that as of right now, the killer app of ChatGPT is the boost in views you get by putting it in the title of your YouTube video.
QuantumGood 4y ago
The popularity of ChatGPT revolutionized time. For learning, for many kinds of busywork (it's redefining what is and isn't "busywork), for planning. And most important: we don't know what we have yet because it's still being built. It's a tool. It's not the "capabilities" it's what people get out of it. You mention blogging from the standpoint of writing it all yourself, and then using a tool to tweak it. That's not the revolutionary part. It's collaborating with the tool to write the post.

melagonster 4y ago

if we only focus on this part. this function represents that most of content creator don't need to convert or reproduce their content to fit another group of customers.

rvz 4y ago

> Taking into account the downsides it looks like a hype bubble right now to me, and a draw in the long run. There’s just a whole lot of tech people trying to cash in on the hype. Techies will realize that they are just giving ideas to O̶p̶e̶n̶AI.com, Microsoft Word, Google Docs and Notion. It is just the same AI bros re-selling their hallucinating snake oil chatbot that are under a new narrative for AI. There is a reason why the only safe serious use-case of LLMs is summarization of existing text, since everything else it does is untrustworthy and is complete bullshit. Their so-called 'revolution' is a grift.

spondylosaurus 4y ago
Notion going all-in on the "AI" stuff is annoying/concerning to me. Mostly just that I live and die by a personal Notion wiki to keep my life organized, and if they eventually tank their service by investing too many resources into features that don't take off and I have to find a new tool to offload my brain into, I'm gonna be pissed...
- eitland 4y ago
  I went with Logseq and for the first time in a number of years (actually since OneNote 2016, the last self hosted version) I am actually happy with my tooling again. It doesn't cover everything OneNote 2016 did, but it does a lot more in other areas and it is progressing nicely.
  - spondylosaurus 4y ago
    This looks great! Do they have a (decent) mobile app? Being able to jot stuff down whenever, wherever is a make-or-break feature for me...
    - eitland 4y ago
      The app is already usable, at least on iOS, but for now sync is a bit rough around the edges, i.e., I need to verify it is synced or it will overwrite and I have to fix it using the page history which thankfully exist.
fomine3 4y ago
English speakers tend to miss a huge use case: Translation.
- rvz 4y ago
  A 'use-case' done worse with LLMs especially with reliability. Translation is already done without a hallucinating LLM and can be done offline. Summarization of existing text is the *only* safe and serious use-case for LLMs.

esquire_900 4y ago

The difference between your search query and theirs is clearly the level of expertise. Chatgpt has a great use case when you get started on a new subject; even with a very cluncky description it can point you into the core concepts of any field. Instead of reading 10 papers with are somewhat related but not what you are looking for, you can spend 3 minutes writing clumsy prompts and that's about it :)

copperx 4y ago
Exactly. Does anybody remember in the early internet days people laughing at their parents for googling things like "please help with my back pain my doctor sucks". Well, who's laughing now?

jrumbut 4y ago

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 servers now. There has to be a world changing application of that.

mach1ne 4y ago
>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.
- contemplatter 4y ago
  In particular, it's odd that the greatest software developer in the world (ChatGPT) hasn't made progress with LLM swarm computation.
  - loandbehold 4y ago
    How is "LLM swarm computation" different that single bigger LLM?
    - staunton 4y ago
      It's easy to distribute across many computers which communicate with high latency
      - alexvoda 4y ago
        LLMs are already running distributed on swarms of computers. A swarm of swarms is just a bigger swarm. So again, what is the actual difference you are imagining? Or is it just that distributed X is fashionable?

bionhoward 4y ago

It’s a hype bubble for hundreds of years and saying that doesn’t make chatgpt worth any less. I have definitely been surprised by this and gotta say I’m expecting AGI a lot faster now. Even if literally all it did was predict what the average internet user would write in a certain context, that’s huge, cuz when you integrate all the little advantages of all the weird things one person knows another doesn’t, the collective knowledge is worth more than the sum of the parts. A tool which can tap into the sum total of human knowledge 24/7 and more rapidly than I can propose more questions for it, mainly I’m just excited to play with larger context size models so I can include more code and get big picture ideas about groups of stuff that are too numerous for my feeble meat brain to reason about. 7-9 things in working memory has always been the thing that would make humans inferior to AI in the long run. Even if it’s not that insanely smart (but realize: intelligence is a probabilistic concept and computers are great at multiplying probabilities precisely) if the thing can fit more stuff in memory than us and type faster than us and it doesn’t get tired or overwhelmed and give up (imagine your capability in a world where you had no tiredness and unlimited self discipline) in time it’s inevitable the transformers put us all to shame, and the more complicated the topic, the bigger of a shaming it’ll be, since the more complicated topics have exponentially more relations to reason about. Who’s gonna trust a human doctor to diagnose their stuff if the human brain holds 9 things and the AI holds thousands?

hutzlibu 4y ago
"Who’s gonna trust a human doctor to diagnose their stuff if the human brain holds 9 things and the AI holds thousands?" The human brain can hold much more than 9 things and even though AI will be used in medicine broadly very soon, I really want the final diagnosis done by a human. Once true AGI arrieves, I might change my opinion, but that might take a while.
- adalacelove 4y ago
  > AI will be used in medicine broadly very soon We have been hearing this since forever. Revolutions do happen but not the way we expect. My anecdotical experience: no one in my team of about 30 people developing SW uses ChatGPT or similar in their day to day. This may change, or not.

avereveard 4y ago

Llm are a tool that understand intent. It makes super easy to compose api into agent and give them a task https://python.langchain.com/en/latest/modules/agents/agents/examples/mrkl.html https://python.langchain.com/en/latest/modules/agents/agents... That is just the introduction, showcasing what level of sophistication you get with just Google and Wikipedia as tools Now imagine task rabbit or fiver as tools. Ai can make things happen in the real worlds. These llm have limited attention but infinite focus. You can parallelize them, you can have one direct a fleet of other llm, you can have llm checking input and outputs for correctness from the other models and feedback that information to the controlling model so that it can improve the promp to the other as it tries to reach it's goal And the goal can be far fetching (manufacture fake artsy trinket and import them from China to distribute etsy) or nefarious (produce subtle propaganda in a moltitude of wordpress website, register accounts on Wikipedia, reddit, create a sophisticate network of citations)

eitland 4y ago

> and then I type 3 keywords from their massive prompt they crafted and find it instantly on Google. Seems I and you have different Googles and you still have the one I had pre 2010. For over a decade now, Google has been including things I never asked about to the point where it would sometimes be easier to find it using Marginalia. Some say it is just because internet has changed and there is less ham and more spam, but the last few months I have been using Kagi and it proves it is possible to create a better search experience. And, if Google works for you, fine. Maybe you search other topics, use other keywords or are in another bucket wrt experiments, but from my perspective Google is now the same as its predecessors.

nwienert 4y ago
I actually agree Google has gone downhill. Yet for the 8 or so examples I’ve tested where I saw hyped GPT results, every single one google answers, usually in the top snippet, always in the first result. For politics shopping and some other topics it can be terrible, but I don’t think GPT is good at those either. I’m actually happy to be proven wrong here. If you have some examples let’s test it out. If it’s a true step function improvement I’d expect it to be easy to source examples.
- eitland 4y ago
  Haven't used Google in a while but let me try.

jiggawatts 4y ago

You can program GPT in English. Let me repeat that: You can program GPT in English. ENGLISH! You're complaining about the first nuclear test bomb being impractical and uninteresting. How will this change the world? That huge monstrosity had to be affixed to the top of a test gantry and took years of effort by a veritable army of the best and brightest to make! No way it could change war, or geopolitics, or anything. No way.. This is the day after Trinity. The bomb has gone off. A lot of physicists are very excited, some are terrified, and the military is salivating. The politicians are confused and scared, and the general public doesn't even know yet. That doesn't mean the world hasn't changed, forever.

valenterry 4y ago
> You can program GPT in English. > Let me repeat that: You can program GPT in English. ENGLISH! What does that mean to "program GPT"? Do you mean program (software) USING GPT? I thought we already had COBOL, which is pretty much like English so business people can use it. Same for SQL. And don't we already have lots of low-code or no-code tools? Why do we need to program with ChatGPT if we already are beyond programming?
- brookst 4y ago
  Not the person you replied to, but I see it the same way. GPT is an English (and other natural language) compiler. Not in the sense that you get a computer program out (though you can), but in the sense that it can automate anything without even needing a programming language, compiler, and domain specific UX. Low code and no-code tools still require thinking like a programmer. You define what you need to do, then implement, then get results. GPT often lets you go directly from spec to results. If the goal is programming, GPT is nothing special. If the goal is quickly reasoning over very abstract instructions, it’s amazing. The trick is seeing the new use cases. It really does come back to the GUI revolution: if you want to list files in a directory, the CLI is just as good, maybe better. But GUI makes photoshop possible. GPT makes it possible to say “summarize the status emails I sent over the past year, with one section per quarter and three bullet points per section”. And the magic is that is the programming.
- 4y ago

greeny7373 4y ago

I need feauteres from n article description and chargpt can just extract it without any effort. I don't know any other library I could just use with this task with nearly the same quality besides some regex soup.

kolinko 4y ago

As for googling, here are some examples of queries you can try and see how it works: - summary of all the carbon neutral concrete methods, especially ones that can be done in a small industrial workshop as a prototype - I have allergies in Thailand, mid-february. What may it be related to? - list all the companies from Japanese stock exchange that have high debt rate Those are top of my head, but really anything that is either a super-specific niche, or requires merging a few niches together, Google won't help you with.

lionkor 4y ago
For all of those, you HAVE to be okay with a complete garbage answer. Are you?
- alexvoda 4y ago
  A machine generating confident bullshit will be the perfect companion for con-men to partially automate their workflow. Humans are really gullible for the appearance of confidence. And humans are also very prone to wishful thinking.
girvo 4y ago
How do you deal with it straight up lying? My problem with this whole system is, if I’m asking those questions it’s because I don’t understand the field well enough to answer it myself, which means I can’t pick up on if ChatGPT is lying…
- SanderNL 4y ago
  Fair, but not completely true. The Thailand examples gives a detailed reasoning. You can use those building blocks to check. If it says Thailand is a cold country and uses that in its argumentation, it's shaky. You don't have to be an expert climatologist to make this judgement. It's not just one clean answer and we're done. In my experience it is helpful in breaking the problem down into stuff you can Google.
  - 4y ago

alex-moon 4y ago

> Taking into account the downsides it looks like a hype bubble right now to me. 100% agree and so glad to see someone else say it. I feel like people are losing their minds every time we go through the same hamster wheel. To hear first hand, in the article above, the effect this is having on ML engineers breaks my heart.

deleted 4y ago

[deleted]

kevviiinn 4y ago

You act like writing itself doesn't take time and energy. It has sped up my grant writing 6 fold. Any long-ish form writing that I need to do now happens at warp speed

xpe 4y ago

> OpenAI revolutionized… rewriting things with slightly different wording? Yes, if you try hard enough, you can try to cast transformational shifts as trifling. - e.g. “Barteen, Shockley , and Brittain made a smaller version of the vacuum tube.” (transistors) - “Scientists discovered that light could carry information, like electrical wires do.” (fiber-optics) The effects (including the harder to measure cultural shifts) matter more than some uncharitable characterization. Also, the “it is not X” thinking is the result of present fixation. Such argumentation is, at best, quite narrow. Perhaps applicable in specific defined markets and situations but hardly a good mindset for making sense of how the world is changing. Hence the cliché, “The Stone Age didn’t end because we ran out of stone.” The psychological undertones in the comment above are probably “people, stop exaggerating”. From one overreaction to another, it seems.

rhtgrg 4y ago

To add to this, using ChatGPT feels great in the moment, because it seems to work so well. For example, asking it for an itinerary while traveling gives you something that looks great. However, once you actually start using it and see that the "ten minute walk" is actually an hour walk, or that a full third of the attractions it has shepherded you to are permanently closed, you realize that building that itinerary yourself from scratch using Google or TripAdvisor would take you less time than manually double checking everything ChatGPT says. It's also quite surprising that people still think ChatGPT is capable of logic. Even for a complete layperson, all it takes is asking it to draw someone's family tree as an ASCII chart to see that text prediction only goes so far and there's not enough of a relational concept in there to comprise knowledge. There are many examples of asking it to solve famous puzzles with minor variations where it fails spectacularly. The marketing behind ChatGPT is genius, but there is only so far you can go before the honeymoon is over and people start to really question what you brought to the table. Aside from that, ChatGPT isn't unique in what it can do, and others (including open source) are catching up fast. That being said, I'd still use it for something like language learning (and other types of learning), where follow up queries (such as why you'd use one word instead of another, or how to rephrase something to be more polite) unlock a significant amount of value. It can also be useful to write trivial code, though I doubt a serious professional would do this (for several reasons, such as privacy and liability). Ultimately, ChatGPT fits squarely under "tool" and not under "intelligence". It seems that as of right now, the killer app of ChatGPT is the boost in views you get by putting it in the title of your YouTube video.

QuantumGood 4y ago

The popularity of ChatGPT revolutionized time. For learning, for many kinds of busywork (it's redefining what is and isn't "busywork), for planning. And most important: we don't know what we have yet because it's still being built. It's a tool. It's not the "capabilities" it's what people get out of it. You mention blogging from the standpoint of writing it all yourself, and then using a tool to tweak it. That's not the revolutionary part. It's collaborating with the tool to write the post.