Decentral Block Post

Every day this week we’re highlighting one genuine, no bullsh*t, hype free use case for AI in crypto. Today it’s the potential for using AI for smart contract auditing and cybersecurity, we’re so near and yet so far.

One of the big use cases for AI and crypto in the future is in auditing smart contracts and identifying cybersecurity holes. There’s only one problem — at the moment, GPT-4 sucks at it.

Coinbase tried out ChatGPT’s capabilities for automated token security reviews earlier this year, and in 25% of cases, it wrongly classified high-risk tokens as low-risk. 
James Edwards, the lead maintainer for cybersecurity investigator Librehash, believes OpenAI isn’t keen on having the bot used for tasks like this. 

“I strongly believe that OpenAI has quietly nerfed some of the bot’s capabilities when it comes to smart contracts for the sake of not having folks rely on their bot explicitly to draw up a deployable smart contract,” he says, explaining that OpenAI likely doesn’t want to be held responsible for any vulnerabilities or exploits.

This isn’t to say AI has zero capabilities when it comes to smart contracts. AI Eye spoke with Melbourne digital artist Rhett Mankind back in May. He knew nothing at all about creating smart contracts, but through trial and error and numerous rewrites, was able to get ChatGPT to create a memecoin called Turbo that went on to hit a $100 million market cap. 

Every day this week we’re highlighting one genuine, no bullsh*t, hype free use case for AI in crypto. Today it’s the potential for using AI for smart contract auditing and cybersecurity, we’re so near and yet so far.

One of the big use cases for AI and crypto in the future is in auditing smart contracts and identifying cybersecurity holes. There’s only one problem — at the moment, GPT-4 sucks at it.

Coinbase tried out ChatGPT’s capabilities for automated token security reviews earlier this year, and in 25% of cases, it wrongly classified high-risk tokens as low-risk. 
James Edwards, the lead maintainer for cybersecurity investigator Librehash, believes OpenAI isn’t keen on having the bot used for tasks like this. 

“I strongly believe that OpenAI has quietly nerfed some of the bot’s capabilities when it comes to smart contracts for the sake of not having folks rely on their bot explicitly to draw up a deployable smart contract,” he says, explaining that OpenAI likely doesn’t want to be held responsible for any vulnerabilities or exploits.

This isn’t to say AI has zero capabilities when it comes to smart contracts. AI Eye spoke with Melbourne digital artist Rhett Mankind back in May. He knew nothing at all about creating smart contracts, but through trial and error and numerous rewrites, was able to get ChatGPT to create a memecoin called Turbo that went on to hit a $100 million market cap. 

Every day this week we’re highlighting one genuine, no bullsh*t, hype free use case for AI in crypto. Today it’s the potential for using AI for smart contract auditing and cybersecurity, we’re so near and yet so far.

One of the big use cases for AI and crypto in the future is in auditing smart contracts and identifying cybersecurity holes. There’s only one problem — at the moment, GPT-4 sucks at it.

Coinbase tried out ChatGPT’s capabilities for automated token security reviews earlier this year, and in 25% of cases, it wrongly classified high-risk tokens as low-risk. 
James Edwards, the lead maintainer for cybersecurity investigator Librehash, believes OpenAI isn’t keen on having the bot used for tasks like this. 

“I strongly believe that OpenAI has quietly nerfed some of the bot’s capabilities when it comes to smart contracts for the sake of not having folks rely on their bot explicitly to draw up a deployable smart contract,” he says, explaining that OpenAI likely doesn’t want to be held responsible for any vulnerabilities or exploits.

This isn’t to say AI has zero capabilities when it comes to smart contracts. AI Eye spoke with Melbourne digital artist Rhett Mankind back in May. He knew nothing at all about creating smart contracts, but through trial and error and numerous rewrites, was able to get ChatGPT to create a memecoin called Turbo that went on to hit a $100 million market cap. 

For every genuine blockchain project harnessing artificial intelligence there are 100 coins trading off the hype.

Magazine spoke with Near founder Illia Polosukhin, Framework Ventures founder Vance Spencer, MakerDAO founder Rune Christensen, Richard Ma from Quantstamp, Ralf Kubli from Casper and others to explore some of the key hype-free, genuine use cases for AI in crypto and blockchain.

We’re rolling out one genuine use case for AI in crypto each day this week — including reasons why you shouldn’t necessarily believe the hype.

Decentralized autonomous organizations, as they exist today, are something of a fraud. As Framework Ventures founder Vance Spencer points out, they are “not actually autonomous. There’s a bunch of people in the middle.“

“It just seems like AI is really our only way to actually make the DAO concept work,” he says. 

For every genuine blockchain project harnessing artificial intelligence there are 100 coins trading off the hype.

Magazine spoke with Near founder Illia Polosukhin, Framework Ventures founder Vance Spencer, MakerDAO founder Rune Christensen, Richard Ma from Quantstamp, Ralf Kubli from Casper and others to explore some of the key hype-free, genuine use cases for AI in crypto and blockchain.

We’re rolling out one genuine use case for AI in crypto each day this week — including reasons why you shouldn’t necessarily believe the hype.

Decentralized autonomous organizations, as they exist today, are something of a fraud. As Framework Ventures founder Vance Spencer points out, they are “not actually autonomous. There’s a bunch of people in the middle.“

“It just seems like AI is really our only way to actually make the DAO concept work,” he says. 

For every genuine blockchain project harnessing artificial intelligence in an attempt to create a better world — like Dr Ben Goertzel’s Singularity.net — there are 100 coins like AI Doge that have simply wedged the hyped-up terms “AI” and “Crypto” together to flog tokens.

“Those are just fundamental buzzwords,” explains Near blockchain founder Illia Polosukhin, who worked on the groundbreaking “Attention Is All You Need” research that led to large language models like ChatGPT and Claude.

As one of the few people in the world who are as well versed in AI as they are in crypto, Polosukhin says that if you ignore the hype, the technologies really are a good fit.

“There’s a lot of specific things both in AI and Web3 that can use each other or benefit each other,” he says.

Magazine spoke with Polosukhin, Framework Ventures founder Vance Spencer, MakerDAO founder Rune Christensen, Richard Ma from Quantstamp, Ralf Kubli from Casper and others to examine some of the key hype-free, genuine use cases for AI in crypto and blockchain.