The heat brought by ChatGPT is still heating up, and a series of topics such as what ChatGPT can do and what jobs it can replace are being discussed. How to train “quick” ChatGPT to become a personal assistant? The topic of AIGC is detonated again. To what extent will AI represented by ChatGPT develop… Recently, global media have pointed out what kind of threat AI will bring to human beings?
Market Review of Pros and Cons
OpenAI CEO Sam Altman has repeatedly admitted that he’s terrified of the company’s brewing AI technology, which he doesn’t think is funny. A group of prominent technologists, researchers and other prominent figures called on OpenAI to suspend training ChatGPT this month. Top AI figures including Elon Musk and Steve Wozniak have signed an open letter calling for a six-month moratorium on the development of AI systems more powerful than GPT-4.
There are concerns and opposing opinions, as well as the voices of supporters. Microsoft revealed Tuesday that it will bring OpenAI’s ChatGPT capabilities to its cybersecurity business through its new Microsoft Security Copilot. It is designed to help cybersecurity professionals prevent and detect cyberattacks faster and easier. Microsoft’s CVP Vasu Jakkal is responsible for Security, Compliance, Identity and Governance. Security Copilot runs on OpenAI’s GPT-4 generative AI model and Microsoft’s own security-specific models, he explained. The result is an AI bot that allows cybersecurity professionals to do things like quickly gather information about their company’s latest security incidents, dig deeper into potential threats, and even quickly find data about common vulnerabilities and exposures.
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Microsoft let us understand how AI can help large Internet companies upgrade their technology. Perhaps exploring the innovative uses and practicalities of technology is a topic of concern for most technologists when scientific ethics debates are unclear.
What kind of sparks will the combination of AI and blockchain create?
Application scenarios of artificial intelligence combined with blockchain
OneBlock published the article “ChatGPT is very popular. How to combine AI and Web3?” Three months ago, it sorted out the current situation of the combination of AI and Web3, and introduced the development status of AI and Metaverse. From the level of specific application use cases——
- Artificial intelligence + public chain: Artificial intelligence can improve the security of the blockchain and help create scalable consensus protocols. The faster speed and larger data scale unique to the blockchain also allow AI to perform machine learning, allowing AI models to grow rapidly through this combination.
- AI+ protocol: AI+ protocol will have the potential to expand the scale of DeFi exponentially. It will solve two major problems of traditional financing: intermediary and pledge.
- AI+DApp: The combination of AI and NFT transforms NFT from a static image into an AIGC with intelligent behavior. Or build games with AI for a more dynamic and flexible gaming experience.
In addition, the birth of most metaverse projects are application examples supported by the development of AI technology. The combination of artificial intelligence and blockchain can greatly expand the boundaries of existing Web3 in many aspects such as on-chain data analysis, security audit, and privacy protection.
Project examples of artificial intelligence combined with blockchain
When conducting research in related fields, we found a very interesting fact: Most projects in blockchain and artificial intelligence have received considerable investment. Going back to the week this article was published, there were two typical projects disclosing funding. The investment prospects and development potential of artificial intelligence and blockchain can be seen. Let’s take two recent financing announcements as examples to see how blockchain can be combined with artificial intelligence to create greater value.
On March 29, a startup called Fetch.ai announced it had raised $40 million in funding. The Cambridge, UK-based startup says it is building tools focused on “autonomous agents, network infrastructure and decentralized machine learning” to help enable communication and action between AI applications, the idea being Make the work they generate more actionable. In simple terms, Fetch.ai is built on blockchain technology to provide monetization and other tools for information generated by artificial intelligence.
Fetch.ai does not focus on virtual services and products like most Web3 projects, but actively introduces blockchain and artificial intelligence into real-life scenarios. Back in 2020, Fetch.ai was working around parking solutions — using artificial intelligence to help identify free spots in city parking lots, but also changing pricing and rewarding people with free public transit tickets when they choose not to drive at all .
Not only that, but Fetch.ai plans to build such a service to take results from generative AI-powered applications and turn them into transactions. For example, asking a chatbot for the best flight from London to Istanbul in an ideal future might not be just a list of flights and prices, but sorted and personalized results based on the user’s preferred travel style. Fetch.ai hopes to develop a tool that will connect these results to the actual purchase of tickets, allowing users to purchase and pay with cryptocurrency assets.
DWF Labs, which invested in Fetch.ai, said in a statement, “Fetch.ai’s technical architecture and decentralized approach to machine learning create a new paradigm for developers and entrepreneurs, and we are excited to support their growth and development.” .”
Launched in 2018 by software engineer Shaun MaGruder, Blocktrace is an AI-enhanced blockchain forensics and analysis service provider. Blocktrace named their chatbot after the iconic character from the sci-fi film Forbidden Planet. Blocktrace developed artificial intelligence to interact with data on the blockchain.
More specifically, look at the background of its generation: there are currently a large amount of open, transparent, and traceable blockchain data, and there are obvious problems when scanning and analyzing these data, especially when classifying dozens of data. Thousands of blockchain addresses and millions of transactions. Austin-based startup Blocktrace was born. The founding team wants to accelerate the blockchain analysis process through artificial intelligence, analyze and summarize data trends, and troubleshoot abnormalities faster.
Based on this, Blocktrace aims to allow investigators and users to use the technology developed by OpenAI to quickly find blockchain transaction addresses and identify transactions that occur on the network more accurately and in greater detail. Enhanced by an AI layer, Blocktrace allows users to ask natural language questions like a virtual assistant. A natural language model is a type of artificial intelligence designed to understand and process human language, similar to how humans behave.
Without the need for data engineers or data scientists to translate natural language questions into SQL queries, AI trained on data models can quickly provide users with results. It is foreseeable that artificial intelligence has the ability to replace most of today’s development tools or procedural/model development work.
Blocktrace is the latest example, and there are already other companies using AI + blockchain technology, such as Elliptic, Chainalysis, CipherTrace, and Nansen.
The scientific ethics of artificial intelligence technology is currently inconclusive, but many innovative blockchain developers are actively introducing artificial intelligence into the blockchain, and the combination of the two creates a more attractive technology.The revelation to our developers may be more about how to integrate and innovate technologies to truly realize the huge potential of AI in the blockchain field