[0] https://github.com/Deeptechia/geppetto/blob/main/geppetto/op...

> How do you improve upon/customize their models for your use cases?

It does not do this.

If you are looking to an AI/AGI/ML innovation, this is not what Geppetto is. It is clear from the beginning.

BTW, all this does not imply we are not working on the ML field in cybersecurity static analysis though.

I think part of the confusion, and why it isn't clear, is that releasing an "A.I. assistant" implies that you've put work into the A.I. or assistant aspects of it. The A.I. assistants in this case seem to be ChatGPT and DALL-E, and this seems to be a connector between existing A.I. assistants and Slack.

Adding to the confusion is the human-sounding name, which makes it seem like an A.I. assistant, rather than an integration.

As an aside, show H.N. is about being open and collaborative, and your replies to several people on this thread seem quite secretive and adversarial. Would you consider sharing more information, rather than less? Let us in :)

https://www.salesforce.com/news/stories/slack-news-dreamforc...

OpenAI also has a teams product:

https://openai.com/blog/introducing-chatgpt-team

I mean, I understand, it's an internal tool and all, you're not building a business here, out of this tool, but I'm going to guess that you end up ripping this out within months as Slack invests big bucks into integrating AI into their platform.

https://www.salesforce.com/news/stories/slack-news-dreamforc...

OpenAI also has a teams product that allows collaboration in a team:

https://openai.com/blog/introducing-chatgpt-team

A little wrapper like this is going to get eclipsed fast.

Also, have you look at the size and quality of the code? It is enough small so that other people can fork and play with it without requiring a lot of knowledge.

One of the code reviewers is a top Python community participant though.

> which makes all the discussion more appealing

I have never experienced AI making anything more appealing. YMMV. I also have no need to generate images.

> have you look at the size and quality of the code? It is enough small

I agree it is a very small code base, in that it does basically nothing. Not sure how I'm supposed to view this as a positive. As far as quality, it looks like pretty much all the other python code I've seen.

> One of the code reviewers is a top Python community participant though.

Cool.

We need it and for several reasons (e.g. security) we write it from scratch.

The use case for integrating Slack with ChatGPT is well known, so it is useful for several organizations. Enough.

Except it does things like augment the input prompts, and can perform additional action based on the outputs.

So no, I don't have a need for something as simple as a ChatGPT pass through.

You might get a better reaction if you weren't so defensive over a sub 500 LOC project.

I receive a good reaction though.

Yuk.

> One of the code reviewers is a top Python community participant though.

Double yuk.

Does deeptechia indeed develop products, rather then consulting? If so, what are they?

Does deeptechia indeed count Microsoft, Raytheon, USAF, and 500+ other organizations among the consumers of their products?

Since deeptechia is "revealing" themselves as of today, can they now come out from behind the scenes and make public their products? Why do they want people to contact them if their products are secret? How do we know their product offerings are right for us if they are secret?

Deeptechia was not formally launched. All what you read is true. Again, you can check my profile for more information and not only narrow to DT.