TinyLetter shut down by Mailchimp, so I built the letterdrop

Post by garylkz » Sun, Jun 23, 2024, 9:03 AM UTC

gavmor wrote: post #29

garylkz wrote: post #13

Earlier quoted context omitted.

Aren't that basically all those web framework that we've been using (except that it's worse and less maintainable)? The code generated is very hard to be maintained by human unless you're very knowledgeable and knows what specific things to change (since generally we only interact on framework level unless there's some specific requirements, like how the author proposed to "modify the prompt" instead of the generated…

At least using a framework like React would expose these HTML blocks to the typechecker.

Post by TibbityFlanders » Sun, Jun 23, 2024, 9:07 AM UTC

b800h wrote: post #56

x11n wrote: post #55

The GPT-4o generated project here doesn't even take care of sending the emails - you need to implement a different worker to handle the actual email sending. Of course, this is very easy to create (as per OP), just generate the code: > After that, you need to create a Cloudflare Worker as a notification service. The code is very simple, you can use the ChatGPT to generate the code.

Jesus. Github is just going to get filled up with autogenerated crap, isn't it?

Post by 7bit » Sun, Jun 23, 2024, 9:11 AM UTC

latexr wrote: post #51

> secure and efficient Judging by the fact you generated it with an LLM, the quality of the code, and skimming the videos, I’m highly suspicious of the claim and don’t think you’re basing that assertion on anything defensible. Adding “make the code secure and efficient” to your prompt doesn’t make it so. I fear for the future quality of software products. Quality was already going down the drain and LLMs have the abi…

Post by lbill » Sun, Jun 23, 2024, 9:16 AM UTC

gkdktstjtsjfy wrote: post #3

"I used the GPT-4o model to generate the code for LetterDrop. That means the code is generated by the AI model, and I only need to provide the prompts to the model. This approach is very efficient and can save a lot of time. I've also recorded a video to show how to create the LetterDrop project using the GPT-4o model. That also means you can easily customize the code by changing the prompts. You can find the prompts…

Post by immibis » Sun, Jun 23, 2024, 9:29 AM UTC

jb1991 wrote: post #60

Tomte wrote: post #15

MIT license? If it‘s all ML-generated, then there is no human author and therefore no copyright. It‘s in the public domain, isn‘t it?

I would argue the person prompting the LLM and piecing it all together is still a human author. The LLM is just a tool. The average person cannot sit down and create a project with an LLM, so the human is still a key factor. To say there is no human would be similar to saying those who use Copilot are not authoring their code, when clearly there is a curator/director managing what the AI models produce. Auditing and…