Trend Report: How Blockchain Empowers AI

A few months ago, I found myself at a San Francisco tech event during the height of the bear market. I struck up a casual conversation with someone standing in line at the bar. When I shared that I was working in blockchain, their response was hilarious.

“It’s all about AI, you’re here in the wrong season.”

I was tickled because, like fashion, technology is an accumulation of micro-trends. However, months later, little did I know that blockchain and artificial intelligence would complement each other, not cancel out.

TenSquared Capital's (10SQ) comprehensive white paper delves into the symbiotic relationship between blockchain and AI, shedding light on how blockchain can act as a safeguard against the potential risks associated with AI, particularly in the realms of data, content, and the rise of deepfakes. In an era where concerns about the impact of AI on personal lives, from job displacement to the misrepresentation of individuals in various settings, are on the rise, it becomes imperative to showcase how emerging technologies can coexist and even enhance one another.

The report meticulously outlines ways blockchain can address the challenges posed by AI:

1. Content Authentication: Blockchain technology's decentralized and tamper-resistant nature provides a robust framework for content authentication. In an age where misinformation and counterfeit content abound, blockchain's ability to establish a transparent and immutable record of content origins ensures trust and reliability.

2. Deepfakes Mitigation: The growing threat of deepfakes, fueled by AI capabilities, has raised concerns about misinformation and manipulation. Blockchain's role in verifying the authenticity of media content through decentralized consensus mechanisms offers a powerful tool to counteract the potential harm caused by deceptive deepfakes.

3. Reliable Data Sources: Blockchain's impact extends to ensuring the reliability of data sources. By facilitating transparent and secure transactions, blockchain interactions enhance the credibility of data, mitigating the risk of relying on inaccurate or manipulated information—an essential consideration in the age of data-driven decision-making.

4. ZK-ML (Zero Knowledge Language Models): The report introduces the concept of ZK-ML, a cutting-edge technology that combines zero-knowledge proofs with machine learning. This innovative approach, detailed further in the report, demonstrates the potential of blockchain to advance the field of AI by enhancing privacy and security in machine learning models.

As the tech curious and the next generation of corporate workers explore the intersection of blockchain and AI, the TenSquared Capital report serves as an extensive guide, presenting evidence-backed insights into the collaborative potential of these technologies. In addition, decentralized applications, like Exorde Labs, are actively integrating AI and data to measure news and social sentiment. While I was working at SKALE, this team was the most appealing because of its strategic use of a gas-free blockchain. 

For those intrigued by this new union of blockchain and artificial intelligence, the full report by TenSquared Capital is definitely something to discuss with colleagues.   As the tech landscape quickly evolves, understanding the nuanced relationship between blockchain and AI, plus everything else in between becomes not just a matter of interest but a key insight into how to connect to consumers. 

For more trend - related news and insights, follow us on Twitter, Lens, Console and Instagram. Read more data, The 2023 Developer Report Reveals an Uptick in Multi-Chain Code by Tenured Developers