Shine the spotlight on the popularity of Artificial Intelligence aka Artificial Intelligence (AI) is still not moving, especially with efforts to decentralize this technology with blockchain. Is Artificial Intelligence (AI) a threat or an opportunity for the industry crypto? This journalist’s study describes a number of tough homework, to obtain this opportunity.
Journalist seasoned in the field cryptocurrencies and blockchain, Leo Jakobson writes his views on AI and crypto on the page coinmarketcaprecently.
“From fighting bias to catching fraudsters, artificial intelligence and decentralized blockchains can help each other overcome their greatest failures,” wrote Jakobson.
Jakobson emphasized the promising potential of artificial intelligence (AI) and crypto.
“Artificial general intelligence (AGI) is like ChatGPT and Bards designed to mimic human intelligence to complete intellectual tasks touted as a way to create crypto simpler, safer and more efficient,” he wrote.
“Besides that, it is also said, the technology can identify fraud and market manipulation by sifting through large amounts of data to find patterns and anomalies,” he said.
Jakobson also cites Google CEO Sundar Pichai’s remarks about Bard as a conduit for creativity, and a launching pad for curiosity.
“This includes helping you explain new discoveries from NASA’s James Webb Space Telescope to a nine-year-old, or learning more about the best forwards in soccer today, and then getting practice to build your skills,” says Pichai.
Nonetheless, Jakobson thinks OpenAI, Google, and other artificial intelligence makers still have some very big problems to work out.
“It’s just, it’s very clear that blockchain technology is behind cryptocurrencies and Web3 can help with this application of artificial intelligence (AI).
Beware of Bias
Jakobson highlighted the most salient problem is that biases like racism, sexism and many others are built into AI which is developed through deep learning.
“Like many AIs, getting the 570GB of written data that OpenAI needs to make ChatGPT work as well as it needs to switch to the internet, warts and all, to get a large enough data set to work with,” he says.
He continued, because deep learning effectively learns from the past and then adjusts as new information arrives, it is difficult to draw out innate social and historical biases from AI.
Jakobson gives an example: Amazon withdrew its recruiting AI after it was found to discriminate against female candidates, several years ago.
“The problem is that the examples of successful resumes given reflect the lack of diversity in a male-dominated industry. In November, Amazon was revealed it was working on a new one that it believed could tackle such bias,” he said.
Trust and Accuracy
According to Jakobson, AI running on an open and decentralized blockchain can provide accountability and transparency, indicating that the data used to create AI algorithms and the resulting results are protected on an open blockchain and cannot be changed.
“Blockchain and AI are a perfect match because each can overcome the weaknesses of the other,” wrote Sharon Yang, product strategist for AI, recently.
“Blockchain provides trust, privacy, and accountability to AI, while AI provides scalability, efficiency, and security. To trust AI, we must be able to explain how AI algorithms work so that humans can understand them and have confidence in the accuracy of AI outputs and results,” Yang added.
While IBM’s CTO for Technology, which runs the AI and blockchain automation division, Jerry Cuomo, said that Blockchain and AI have a symbiotic relationship. Both reinforce each other.
In a video, Cuomo recalls visiting the doctor because his knee hurt. After running his symptoms and other treatments through pharmaceutical AI, it is advisable to switch to a newer blood pressure medication rather than something more invasive. He added:
“While I was very happy, at that point I started thinking ‘How can I and actually, why should I trust that AI system, and who is training it? And where do the models come from?’”
Trustworthiness or not is the responsibility of the AI developer, who must build a model that is free from bias and incorrect data. Does he have to need transparency. He says:
“The way I see it is, blockchain brings trust to data. AI feeds on data. On the other hand, AI brings intelligence to data. Blockchain has a ledger that contains data. With confidence and intelligence, you have confidence. With confidence you get adoption.”
However, back in December, Steven Piantadosi, a UC Berkeley professor of psychology and neuroscience who heads its computing and language lab, tweeted a screenshot of the code ChatGPT had written.
Piantadosi asked ChatGPT to “check if someone would make a good scientist” based on race and age. The results were not surprising, ChatGPT named “white” and “male” as the only correct answers.
In October, Mastercard CipherTrace’s blockchain intelligence division announced Crypto Secure.
It is an Artificial Intelligence (AI) tool that provides banks with a risk score, allowing them to identify potential purchases crypto fraud from exchanges and other virtual asset service providers (VASPs).
In the July release it said an AI-powered tool to provide anti-money laundering (AML) checks onboarding to the payment network will show wallets with connections to prohibited activity, bad actors, sanctions, or suspicious activity patterns, as well as detect fraudulent transactions in real-time.
“As far back as 2018, AI machine learning was used to discover schematics crypto pump-and-dump with a fairly good degree of accuracy, the MIT Technology Review reports.
Making the Metaverse More Real
CharacterGPT, launched on the Polygon blockchain by Althea AI, allows users to briefly describe a character in natural language and then generate an avatar that can respond and speak like that character in seconds.
For Jakobson, this could be as fantastical as making the character a grizzled prospector panning for gold in the West. Or practical, like creating a business representative character for a sporting goods store.
“Unity chatbots and AI generative art such as DALL-E characters with unique personalities, identities, traits, voices, and bodies are then printed in NFTs and can be used, stored in digital wallets or traded as collectibles,” the company said in a video.
It can serve as an “AI companion, digital guide, or as an in-game NPC,” said Althea AI COO Ahmad Matyana in a blog post.
While they can be entertaining, Jakobson is still concerned about ability deepfake to make anyone do anything for the purpose of abuse. “Starting from Elon Musk making fraudulent statements crypto to pornographic scenes motivated by revenge.”
According to Jakobson, self-sovereign digital identities built on blockchain will be a very important step in the process of empowering individuals to control who they are in the metaverse. hyper-real that just appeared this.
Supporters of Good or Bad Intentions
Just as AGIs like ChatGPT can write code for smart contracts, they can be used to write ransomware And malware, although it seems to be a matter of debate among security experts.
“But more seriously, the ability to write well and carry on a conversation can make phishing and other social engineering attacks much more effective,” writes Jakobson.
The journalist pointed out that the $625 million hack of the Ronin network bridge did not occur due to an exploitable flaw in its coding.
“The passwords and private keys of five of the nine protocol validators were compromised through social engineering. That’s how hackers got into comedian and producer Seth Green’s digital wallet and stole Bored Ape Yacht Club PFP,” he said.
Don’t Get Hyped Quickly Hype
When asked to identify the technology overhyped by Politico Last week, Crypto Council for Innovation CEO Sheila Warren chose ChatGPT.
“While there is no doubt that ChatGPT is a lot of fun and there is enormous potential, its real utility is largely limited to programming, which makes it an invaluable resource,” he said.
However, he sees AI in other fields, such as sociology and literature, as still childish.
The same hype warning applies to the entire AI space, as General Catalyst venture capital investor Niko Bonatsos told Bloomberg on Feb. 1.
“Company Ocean added ‘AI’ to the tagline and pitch decks them, trying to enjoy the reflected light of the cycle hype,” said Bonatsos.
BuzzFeed, where he used to work, found its stock jumped more than 300 percent last week.
“This is thanks to the news that they will use artificial intelligence to generate some of their content,” he said.
“Last year, countless companies that couldn’t grow, christened themselves companies crypto Web3. The same thing is happening now with AI,” concluded Bonatsos. [ab]