Stellaris AI Interview Questions by Reuters
Question 1: Could the company introduce itself more such as when is it established and what are the factors driving a group of professors doing this together?
Certainly, it's a pleasure to introduce Stellaris AI. We were officially registered in mid-June of 2023, but the story of our team's engagement with AI and AGI (Artificial General Intelligence) dates back over a decade. The company was co-founded by a group of AI and LLM (Large Language Models) enthusiasts, including myself and Dr. Ning, who have specialized in the theory, application, and development of AI technologies. Over the years, we've also become serial entrepreneurs, launching companies in various sectors like Fintech, MedTech, Robotics, and Data Privacy Computing.
The driving factors behind our coming together to form Stellaris AI are twofold. First, we aim to create Large Language Models (LLMs) with a performance level higher than that of OpenAI's GPT-4. To that end, we've invested in collecting large datasets and securing substantial computing power. On May 10th of this year, we achieved a significant milestone by releasing SGPT-2.5, Hong Kong's first proprietary large language model with hundreds of billions of parameters. Our comprehensive tests indicate that its performance lies between that of GPT-3.5 and GPT-4, which we consider a major accomplishment.
Secondly, our core mission is to accelerate the advent of AGI to free humanity from repetitive and tedious tasks. We envision a world where people can focus more on innovative work, allowing for unlimited resource creation that can transform every industry and sector. This, we believe, will significantly foster both economic and social progress.
So, in a nutshell, Stellaris AI is motivated by a blend of technological ambition and a vision for a future where AGI serves to benefit humanity on a global scale.
Question 2: What’s the competitive advantage of Stellaris AI over other similar products in the market? What is the development plan for it?
Our competitive advantage lies in a combination of technological innovation, security, and adaptability.
First and foremost, our Native-Safety ensures that our Stellaris GPT models are resistant to safety breaches, unlike other products that rely on patch-based approaches for safety. This is critical in today's world where data breaches and privacy threats are increasingly becoming a concern.
Secondly, our models are designed for real-time learning. They are not just static entities but adapt and offer the most up-to-date responses, making them highly efficient and reliable. This is particularly useful for sectors that need immediate and current information to make crucial decisions.
Thirdly, our local deployment capability allows users to host our models on their servers, freeing them from data compliance issues. This is an essential feature in the current regulatory landscape where data security and privacy are of paramount concern.
In addition to these, our dual-layered business model offers both Model Service and Computing Service. We serve our partners and clients with a "full package" that includes both the model and the computing infrastructure, whereas other LLM vendors might specialize only in one of these aspects.
For our development plans:
(1) We aim to release a minor version of SGPT every three months and a major version every six months, to ensure our technology remains at the cutting edge.
(2) We're targeting to match or even surpass the capabilities of GPT-4 in the next 6 to 12 months.
(3) We're working on building a complete technology development stack and platform based on the SGPT foundational model. This will make it easier for our partners to build their AI-native or Plus apps. We have a strong product team focusing on perfecting the tools and interfaces for this.
(4) We've also established collaborations with local data centers in Europe to construct local GPU farms, further enhancing our computing service capabilities.
So, to sum up, our competitive advantage is not just one feature but a robust combination of technology, security, and adaptability, coupled with a dynamic development roadmap that aims to keep us ahead in the market.
Question 3: Does the company have any plans to raise funds for future expansion? If yes, what will those money be used for (e.g., as working capital, project development, potential M&A)?
Yes, Stellaris AI is indeed in an advanced stage of a significant fundraising round that brings together a global consortium of investors. Our main objective with this new capital injection is to scale up our computing capabilities by partnering with data centers. Enhanced computing power is crucial for refining our algorithms and providing more efficient AI services.
In addition to that, a portion of the funds will be allocated to expand our Research & Development and Business Development teams. Talent is key in our industry, and we aim to attract top professionals who can contribute to our vision and innovation efforts.
Last but not least, we are in the process of further enriching our SGPT ecosystem, making it more robust and versatile for a variety of applications. While our immediate focus is on organic growth, we are also open to exploring potential mergers and acquisitions that are in line with our strategic objectives. Such moves would serve to broaden our technology stack, increase our market share, or help us enter new markets altogether.