(VOR News) – Coinbase has achieved a major technological milestone with the successful execution of the first-ever bitcoin transaction between two artificial intelligences.
Consequently, this signals the start of a new era at the nexus of blockchain technology and artificial intelligence skills.
Two AI agents are trading AI tokens in the transaction under consideration. AI tokens are strings of data that allow large language models (LLMs) to learn and get more powerful.
In late August, Coinbase CEO Brian Armstrong announced the deal.
This latest advancement on Coinbase’s Layer 2 Base network brought to light the expanding possibilities of AI-powered transactions across the global economy. The USDC was employed during this development.
Cryptocurrency wallets can help hasten the process of reducing financial obstacles by leveraging artificial intelligence.
Artificial intelligence bots can’t open bank accounts, which sets them apart from humans. This restriction has hindered individuals since the beginning of time from performing tasks that are necessary for the actual world, including booking travel lodgings or handling assets.
The Coinbase addition of artificial intelligence to bitcoin wallets has made it simpler to get around this obstacle.
Artificial intelligence (AI) can create a smooth and immediate connection with humans, other AI agents, or entities that use bitcoin by employing this innovative technique. This technology is extremely important since it can overcome the traditional constraints connected to traditional financial institutions by offering transactions that are not only free but also swift.
In this Coinbase scenario, AI bots use their tokens to get more.
They were able to communicate and complete activities independently as a result. This achievement has led to a substantial shift in the potential functioning of artificial intelligence systems.
Given their ability to manage transactions independently, it is plausible that artificial intelligence bots will eventually be able to do more intricate jobs involving payments.
This type of operation at Coinbase could include the purchase of specific goods and services or subscriptions to application programming interfaces (APIs).
Armstrong has been a leading proponent of bringing LLMs into the bitcoin ecosystem for a very long time. More specifically, he has forecast that in the not too distant future, agents of artificial intelligence using cryptocurrency wallets will engage in everyday economic activities to a greater extent, making these wallets more valuable to clients who are not humans.
Within the bitcoin business, a significant trend is developing, and Coinbase’s performance is correlated with this broader phenomenon. The bitcoin industry utilizes artificial intelligence.
Artificial intelligence is currently being used in a wide range of businesses. Predictive trading algorithms, autonomous Coinbase decision-making on blockchain systems, and AI-generated assets like non-fungible tokens (NFTs) are a few instances of these sectors. There are countless examples; these are but a handful.
Artificial intelligence-driven technologies are getting more and more complex technologically as the digital economy expands.
Crypto base automates and streamlines formerly human-controlled economic areas.
Businesses that rely on the quick, safe, and decentralized transfer of money are becoming increasingly concerned that Coinbase transactions between artificial intelligences could pose a problem in the future.
Armstrong’s request that developers incorporate AI models into cryptocurrency wallets underscores the potential for further innovation, given that some believe artificial intelligence will be able to take on increasingly complex financial responsibilities in the future, such as the autonomous processing of extensive transactions and the management of on-chain assets.
Global ramifications could be significant and extensive if blockchain technology and artificial intelligence are combined. These consequences have effects that go beyond only contracts for money.
In a previous statement, the Cybersecurity and Networking Foundation (CNF) said that ransomware and illicit cryptocurrency operations are two examples of cybercrimes that artificial intelligence is being used to identify and combat.
The combination of blockchain technology with artificial intelligence not only increases data privacy but also promotes decentralization, which in turn builds a more secure and robust digital environment.
SOURCE: CNF
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