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This is what I find the most surprising. I was under the impression that ChatGPT was still "research" and wouldn't be ready for prime time for a while. These ru

This is what I find the most surprising. I was under the impression that ChatGPT was still "research" and wouldn't be ready for prime time for a while. These rushed products that don't live anywhere near up to the hype seem like they will sour public opinion on it.

kweingar 4y ago
OpenAI seems to have been the forcing function. Investors tried out GPT-3/ChatGPT and saw dollar signs.
SilverBirch 4y ago
From some of the reporting it sounds like AI was in a bit of a cold war that accidentally turned hot. OpenAI got it into their head that someone else was going to release a chat bot imminently, so they panicked and raced to release their own, which is why it's GPT3 based, doesn't have up to date info and has all sorts of other problems. OpenAI panicked and rushed something out and now Google is doing the same. All of these companies know the tech isn't ready, but they couldn't afford to be left behind when someone moved. It's funny, because this happens quite often in tech. Remember when Tesla announced self-driving? Suddenly Intel were doing deals with MobilEye and BMW, GM did Cruise etc. etc. and then 5-10 years later nothing has been delivered? They all jumped the gun and couldn't afford ot be left behind.
- Ambolia 4y ago
  I haven't used it, but I know plenty of people who today use ChatGPT for work or for school every day. If you are ok with a higher degree of inaccuracy in exchange for minimizing your efford by a lot, ChatGPT is a game changer for many people.
- codekansas 4y ago
  Some important points about large language models verses self-driving cars: 1. The former is entirely in software and has the favorable economics that brings with it 2. Language models don't need to be that good to provide value, whereas self-driving cars basically need to be solved before they become significantly useful 3. There's a cottage industry of secondary startups being built around using language models for various applications, whereas no such thing exists for self-driving (probably because of 2)
  - paganel 4y ago
    > The former is entirely in software and has the favorable economics that brings with it You still need data labelling, which is not done by software and which is quite difficult to scale up and to carry out in a consistent manner. I know that most probably there are self-learning LLM models that would partly alleviate that issue, but (absent AGI) I don't think that they'll really solve the problem going forward.
- amf12 4y ago
  I think this was Google. Google showed that it's working on LLM chatbots in previous I/O. Then, the "sentient thing" about LaMDA blew up in June 2022. It's quite possible OpenAI thought Google would release it soon and they panicked. And now, Google who didn't have any intention of releasing LaMDA, panicked..

kweingar 4y ago

OpenAI seems to have been the forcing function. Investors tried out GPT-3/ChatGPT and saw dollar signs.

SilverBirch 4y ago

From some of the reporting it sounds like AI was in a bit of a cold war that accidentally turned hot. OpenAI got it into their head that someone else was going to release a chat bot imminently, so they panicked and raced to release their own, which is why it's GPT3 based, doesn't have up to date info and has all sorts of other problems. OpenAI panicked and rushed something out and now Google is doing the same. All of these companies know the tech isn't ready, but they couldn't afford to be left behind when someone moved. It's funny, because this happens quite often in tech. Remember when Tesla announced self-driving? Suddenly Intel were doing deals with MobilEye and BMW, GM did Cruise etc. etc. and then 5-10 years later nothing has been delivered? They all jumped the gun and couldn't afford ot be left behind.

Ambolia 4y ago
I haven't used it, but I know plenty of people who today use ChatGPT for work or for school every day. If you are ok with a higher degree of inaccuracy in exchange for minimizing your efford by a lot, ChatGPT is a game changer for many people.
codekansas 4y ago
Some important points about large language models verses self-driving cars: 1. The former is entirely in software and has the favorable economics that brings with it 2. Language models don't need to be that good to provide value, whereas self-driving cars basically need to be solved before they become significantly useful 3. There's a cottage industry of secondary startups being built around using language models for various applications, whereas no such thing exists for self-driving (probably because of 2)
- paganel 4y ago
  > The former is entirely in software and has the favorable economics that brings with it You still need data labelling, which is not done by software and which is quite difficult to scale up and to carry out in a consistent manner. I know that most probably there are self-learning LLM models that would partly alleviate that issue, but (absent AGI) I don't think that they'll really solve the problem going forward.
amf12 4y ago
I think this was Google. Google showed that it's working on LLM chatbots in previous I/O. Then, the "sentient thing" about LaMDA blew up in June 2022. It's quite possible OpenAI thought Google would release it soon and they panicked. And now, Google who didn't have any intention of releasing LaMDA, panicked..