Unlocking the Future: A Dive into the AI-Blockchain Synergy with Numbers Protocol and Instill AI
In the fast-paced world of technology, understanding the power of integration becomes vital. This interview caught up with the forces behind Numbers Protocol and Instill AI to glimpse the future they are collaboratively sculpting.
Watch the interview on YouTube:
Join our Sep Dev Call for a live demo and interact with developers! 🔴Live stream on 14th Sep 12:00 UTC: https://link.numbersprotocol.io/DevCall
Learn more about the collaboration: <Redefining Data Landscapes: Unlocking AI & Blockchain Synergies with Numbers Protocol and Instill AI’s Revolutionary Collaboration>
Read the recap of the interview below.
The Players in the Game
Ping-Lin, the CEO of Instill AI, is a seasoned entrepreneur with an enriching history in AI-driven start-ups. Based in London but with Taiwanese roots, Ping-Lin has been in the AI ecosystem for nearly a decade, holding a Robotic Vision degree from Imperial College London. With a burning passion for translating AI to real-world solutions, Ping-Lin’s Instill AI is setting out to democratize AI access across sectors.
On the other side of the coin, we met Ethan, a developer and community manager with Numbers Protocol. He’s been with Numbers for over three years, diligently building products and resources to accelerate the adoption and application of their tech.
Breaking Down the Jargon
Instill AI aims to harness unstructured data, leveraging deep learning and machine-learning data-driven algorithms. In doing so, they hope to make AI solutions more accessible and efficient for the industry.
But why partner with Numbers Protocol? One word: Provenance. Data provenance in AI holds significant weight, be it determining the legitimacy of training data or understanding the origins of AI-generated outputs. Numbers Protocol’s blockchain mechanism addresses this concern. Their digital media library and indexing system, which starts with Numbers ID, ensures traceable and verifiable histories of AI-generated content.
What Does This Mean for Developers?
With Instill’s versatile data pipeline (VDP), developers can integrate AI and blockchain into their existing tech stack using a low-code interface. Additionally, the Python and TypeScript SDK in the pipeline promises a smoother transition. And to add the cherry on top, there’s an upcoming CLI tool designed with developers in mind.
Ethan elucidated the simplicity of the integration, highlighting how Instill’s workflow, combined with Numbers Protocol, promises not only the creation of AI-generated content but also an authentic, verifiable record of its origin.
The Road Ahead
But it’s not all sunshine and rainbows yet. As Ping-Lin candidly shared, the collaboration is still at its nascent stages, and there’s more work to be done. There’s a need for iterating features rapidly to enhance user experiences.
For those eager to explore this synergy, both Numbers Protocol and Instill AI are pulling out all the stops. From tutorials to monthly Dev Calls, developer resources, and open-source projects, they ensure enthusiasts have the tools and knowledge to harness this powerful combination.
To sum up, this collaboration signifies a step towards a future where AI and blockchain don’t just co-exist but thrive together. The technology world often works on a “create now, fix problems later” paradigm, but with initiatives like this, we are looking at a future of proactive problem-solving. As we eagerly await the full unveiling of this AI-Blockchain marriage, one thing is clear: the future is integrated.
About Instill
Instill AI, founded on June 11th, 2020, is an innovative startup dedicated to democratising access to AI. We specialise in developing AI and data infrastructure to offer a streamlined, no-/low-code solution for users seeking to rapidly extract insights or build AI-first applications from varied data types such as text, images, audio, or video.
We are the primary developers and maintainers of the Instill Core open-source project, which encompasses Instill VDP and Instill Model. These integral components form the backbone of AI-first application development via low-code/no-code interfaces. Leveraging the success of Instill Core, we introduced its cloud service, Instill Cloud, in May 2023.
As a provider of no-/low-code tools, we empower our users to efficiently handle and manipulate all kinds of data — unstructured, semi-structured, and structured. By integrating our services into their existing data stack, users can unlock the full potential of their data reservoir and seamlessly benefit from AI advancements.
We are a small and ambitious team of passionate engineers/researchers sharing an unconventional culture fused by DevOps, MLOps and academic research labs. We are hands-on and love to automate everything. We care about our products and deliver to the highest standard.
About Numbers Protocol
Numbers Protocol provides content verification for AI-powered companies and creativity tools. It offers efficient and low-cost digital provenance infrastructures and decentralized storage, which not only enhance trust in digital content but also provide a pathway for innovative content monetization strategies. Products including:
- Capture Cam: A secure camera technology captures, signs, and seals critical details in every photo or video, such as date, time, location, and the true pixels captured.
- Capture Dashboard: Decentralized storage facility for all images taken on Capture Cam but also a depositary for you to upload original authentic images.
- Capture Eye: All images are verified and secured on the blockchain, protecting asset rights, proving authenticity and being transparent with edits, changes to digital media using Capture sign.
- Numbers Blockchain: A digital media library and indexing system that allows anyone to create on-chain proof of digital media files. We aim to provide media consumers with the full picture.
- Numbers API: Register and receive multiple assets using a simple API. Our friendly interface makes it easy for developers to create network applications.
- Numbers Search Engine: Google for digital media.
Boasting the highest multi-network asset coverage, reverse-image search, dedicated asset profiles and AI-powered similar image results. Provenance of digital media can be found– ideal for general queries and vetting.
