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Are startups built on ChatGPT about as useful as ChatGPT? I really do not see the value-add from anyone yet? An interesting question is, what are you providing

Are startups built on ChatGPT about as useful as ChatGPT? I really do not see the value-add from anyone yet? An interesting question is, what are you providing above copying and pasting a load of my data into ChatGPT in a way that I’m not sure I gave you permission to?

Solvency 3y ago
Startups built on ChatGPT can be useful, but their value depends on the specific applications and services they offer. While ChatGPT can generate content, these startups need to showcase unique features and services that go beyond simply using ChatGPT. Regarding data usage, reputable startups should always prioritize user consent and comply with privacy regulations to ensure data is handled responsibly. Transparency and clear user consent are essential aspects of building trust in AI-powered applications. This response is powered by HackerGPT4.
- sincerely 3y ago
  Great example of GPT outputting a lot of words that completely fails to answer the posed question.
- Aicy 3y ago
  I could tell this was chatGPT generated after the first sentence and a half. So wishy washing, and saying "it depends" which works as an answer regardless of the question it is answering.
killingtime74 3y ago
A lot of established companies are using it as well. https://www.atlassian.com/blog/announcements/unleashing-power-of-ai https://www.atlassian.com/blog/announcements/unleashing-powe... is your issue that there's not much value add in general or that startups are using it?
thamer 3y ago
They are as useful as ChatGPT with a good prompt. For a given task, ChatGPT seems to do way better if it given a precise prompt with detailed instructions. This includes describing the context of the problem, maybe what kind of data it will be operating on, and especially the format in which to output its answer. Once the answer is produced in the expected format, the application can then integrate it into its own data and make it immediately available. An embedded AI assistant in a product can provide a lot of this context, whereas a simple user of ChatGPT on the web might not end up with an answer that they can use immediately. I have no doubt that many people spend more way time preparing data for and extracting data out of ChatGPT than how long it took to answer. You can see an example of this in this demo of a tool called Tana: https://youtu.be/FlqpK8ucf8s?t=310 https://youtu.be/FlqpK8ucf8s?t=310 – the user is asking for airline home bases, and has to add "do not mention the country" for the data to have the right format. Once the prompt is correct though, the app is able to ingest this generated data and merge it with the user's.

Solvency 3y ago

Startups built on ChatGPT can be useful, but their value depends on the specific applications and services they offer. While ChatGPT can generate content, these startups need to showcase unique features and services that go beyond simply using ChatGPT. Regarding data usage, reputable startups should always prioritize user consent and comply with privacy regulations to ensure data is handled responsibly. Transparency and clear user consent are essential aspects of building trust in AI-powered applications. This response is powered by HackerGPT4.

sincerely 3y ago
Great example of GPT outputting a lot of words that completely fails to answer the posed question.
Aicy 3y ago
I could tell this was chatGPT generated after the first sentence and a half. So wishy washing, and saying "it depends" which works as an answer regardless of the question it is answering.

killingtime74 3y ago

A lot of established companies are using it as well. https://www.atlassian.com/blog/announcements/unleashing-power-of-ai https://www.atlassian.com/blog/announcements/unleashing-powe... is your issue that there's not much value add in general or that startups are using it?

thamer 3y ago

They are as useful as ChatGPT with a good prompt. For a given task, ChatGPT seems to do way better if it given a precise prompt with detailed instructions. This includes describing the context of the problem, maybe what kind of data it will be operating on, and especially the format in which to output its answer. Once the answer is produced in the expected format, the application can then integrate it into its own data and make it immediately available. An embedded AI assistant in a product can provide a lot of this context, whereas a simple user of ChatGPT on the web might not end up with an answer that they can use immediately. I have no doubt that many people spend more way time preparing data for and extracting data out of ChatGPT than how long it took to answer. You can see an example of this in this demo of a tool called Tana: https://youtu.be/FlqpK8ucf8s?t=310 https://youtu.be/FlqpK8ucf8s?t=310 – the user is asking for airline home bases, and has to add "do not mention the country" for the data to have the right format. Once the prompt is correct though, the app is able to ingest this generated data and merge it with the user's.