FAQ

Is there collaboration with any GPU provider already?

Yes, we will announce a partnership with a foundational GPU provider in the coming weeks! This is a huge step forward for us, as our projects compliment each other and together we will make a real impact on artificial intelligence training.

Are you confident that major companies/projects will be willing to trust synthetic data for data needs?

Of course! Despite full automation in generation, a human writes the prompt for creating synthetic data.

Any user in the future will be able to control the creation process and influence it.

Speaking globally - synthetic data is the future. Experts at NVIDIA have already spoken about this at their conference, demonstrating Omniverse. Other giants will gradually come to this, if they have not yet arrived.

Have a question for the team. What competitive advantages does SAI have over competitors?

Thank you for the question!

If we are talking about direct competitors, there simply aren't any.

We are the first DeSEP project, and no one has replicated our algorithms yet.

If we talk about indirect competitors, the main advantages are:

- speed of generation

- cost (for 1 package of synthetic data we want to collect no more than 1$)

- variability (we plan to implement new data formats every month)

- ecosystem (we have already started developing a synthetic data marketplace, which will not only allow to generate them, but also to buy ready-made bundles)

- active interaction with the community

Who’s in control of the X account?

Our marketing team is actively working on content to make it interesting and keep you fully informed about new stages of development and news from the world of synthetic data.

Would the team be open to moving the marketing wallet to a multi-signature setup?

Thank you for the suggestion, our team has not considered it before. We will work on it and get back to you with feedback!

I see we have a buyback and burn function. How does it work exactly? Are using the fee for it? How often do you buyback and burn?

When we take our business to a larger scale, a % of revenue generated from sale will be allocated towards buying back and burning the token, which leads to a more stable price action of $SAI.

Fees are used for inference, development and marketing costs, not for buybacks and burns.

Buyback and burns will happen either monthly or quarterly, we will officially be publicizing our earnings.

How many devs in the team and when did you start building?

We have a full-fledged development team, which consists of:

- Frontend developer

- 2 Backend developers

- Product development lead

- UI/UX designer

Why generate synthetic data with Sai and not gpt4 itself?

GPT4 itself can generate 10 rows of decent data pretty easily, the problem with base LLMs is scale, which within itself contains two main problems - quality and uniqueness. We solve the problem of scale with our agentic pipeline which holds within itself a uniqueness validator and a quality control agent, both of which guarantee quality data at scale

Is the intent to remain anon? How will you rent the GPUs, will this be public info?

At the moment we intend to remain anonymous but throughout the course of the next few months we will begin doxxing certain team members to solidify our stake in the space

The GPUs will be rented from projects we partner up with, the main ask from our partners is a decentralized nature of hosting so it aligns with our Web3 mission. These partnerships will be public.

Is the telegram bot product already working? Does it utilize the sai token if so?

Of course, yes! The current version of the telegram bot is a showcase for demonstrating the functionality of our product Currently, it is free and not tied to a token

I would like to ask why the team mentioned healthcare and finance or why does the focus lay there and how is it ensured, from an ethical point of view that synthetic data is actually valid? Primarily in healthcare real data may be more trustworthy and ethical due to potential implication of AI's decision making

Let's start with the first question! These 2 areas most vividly demonstrate the functionality of our product, so the team chose them. The uses for synthetic data are endless, and we are already collecting requests for generation on our website!

Second question: Indeed, real data in some areas may be more reliable, but they are greatly limited by the amount and time of their collection.

Which AI would you trust more? The one that was trained on 100 real cases or the one that was trained on 1 million artificial cases?

Is there going to be staking or any kind of revenue sharing?

We do not plan to incorporate any staking or revenue sharing programs into our ecosystem at this point in time.

Why do you guys need the buy/sell tax at 5%?

As we have already shown in the content, 16 people are working on the project, and now there are even more. Obviously, our team needs funds for development.

That is why we have set a tax of 5/5.

What are you guys competitors in crypto and outside of crypto?Or is this a first of a kind in crypto?

We are the first DeSEP project, we have no direct competitors