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Artificial Intelligence Crypto Assets Continue to Surge, Accounting for $4 Billion in Market Value
February 28, 2023
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Following a brief downturn in mid-February 2023, artificial intelligence (AI) crypto assets have continued to see gains over the last 30 days. Currently, out of 74 listed AI-focused cryptocurrencies, the net value of all these tokens has risen to more than $4 billion, which accounts for 0.37% of the entire crypto economy’s value.

Majority of Listed AI Cryptocurrencies See Positive Gains Over Last Month

Artificial intelligence (AI) has been a dominant theme in 2023, resulting in a significant surge in the value of AI-focused tokens this year. Bitcoin.com News reported on the rise of these cryptocurrencies at the end of January, and despite a brief pullback in mid-February, AI crypto assets have continued to see gains throughout the month.

According to data from cryptoslate.com, 74 AI-centric digital currencies are now worth $4.03 billion, accounting for 0.37% of the overall crypto market and 1.19% of the smart contract token market. Moreover, the majority of the 74 listed cryptocurrencies associated with artificial intelligence have experienced positive gains in the last month.

 

Artificial Intelligence Crypto Assets Continue to Surge, Accounting for $4 Billion in Market Value

The largest of the AI-focused digital currencies is graph (GRT), with a current market valuation of approximately $1.42 billion. GRT has increased 70.57% against the U.S. dollar in the last 30 days. Singularitynet (AGIX), the second-largest AI-centric crypto asset, has surged 132.67% this month.

Fetch.ai (FET) has risen by 53.21%, and ocean protocol (OCEAN) is up 7.26% in the 30-day period. Iexec rlc (RLC), the fifth-largest AI-focused token, increased 6.29% against the U.S. dollar last month. The top five AI digital currencies, namely graph (GRT), singularitynet (AGIX), fetch.ai (FET), ocean protocol (OCEAN), and iexec rlc (RLC), account for $2.69 billion, or 67.3%, of the AI-crypto economy’s $4 billion.

Other notable gainers in the AI digital currency market this month include alethea artificial liquid intelligence token (ALI), which increased 30.28%; phoenix global (PHB), which swelled by 23.64%; xmon (XMON), which jumped 30.47%; measurable data token (MDT), which spiked 124.97%; and singularitydao (SDAO), increased by 121.48%.

As of writing, the 74 AI-centric digital currencies have collectively risen 3.07% against the U.S. dollar in the last 24 hours. However, in the last seven days, the AI digital currency sector has experienced a 4.14% decline in value. The AI digital currency market’s trading volume in the last day was approximately $444.39 million. This figure represents 0.8% of the current $55.39 billion global trade volume in the last 24 hours.

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9🤝 Theta Partnership Alert! 🤝

We're happy to announce our partnership with @Theta_Network to integrate their revolutionary EdgeCloud platform into VentureMind AI’s ecosystem.

This collaboration enables us to scale AI tools, optimize video rendering and power remotely-controlled robotics with decentralized, low-latency technology.

Key benefits of this partnership:

✅ Scalable compute for AI innovation
✅ Real-time, reliable robotics control via Theta’s edge nodes
✅ Cost-efficient video processing for AI & surveillance
✅ Enhanced Web3 integration for NFTs and autonomous tools

Together, we're redefining what’s possible in AI, robotics, and Web3.

Stay tuned for more updates!

https://x.com/VentureMindAI/status/1859657443032097154?s=19

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👉 Coinbase just launched an AI agent for Crypto Trading

Custom AI assistants that print money in your sleep? 🔜

The future of Crypto x AI is about to go crazy.

👉 Here’s what you need to know:

💠 'Based Agent' enables creation of custom AI agents
💠 Users set up personalized agents in < 3 minutes
💠 Equipped w/ crypto wallet and on-chain functions
💠 Capable of completing trades, swaps, and staking
💠 Integrates with Coinbase’s SDK, OpenAI, & Replit

👉 What this means for the future of Crypto:

1. Open Access: Democratized access to advanced trading
2. Automated Txns: Complex trades + streamlined on-chain activity
3. AI Dominance: Est ~80% of crypto 👉txns done by AI agents by 2025

🚨 I personally wouldn't bet against Brian Armstrong and Jesse Pollak.

👉 Coinbase just launched an AI agent for Crypto Trading
🎓 Theta EdgeCloud: Driving Innovation in AI & Academia! 🚀

Theta's hybrid cloud GPU infrastructure is making waves, empowering institutions like Seoul National University, KAIST, University of Oregon, and more to advance AI research. 🌐💡

From powering video streaming to accelerating AI breakthroughs, Theta EdgeCloud is setting the standard as the leading decentralized cloud solution. 🌟

The future of research and enterprise computing is decentralized, and Theta is leading the charge! 🖥️⚡

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💥 THETA trading volume on @binance spiked by 243% 💥

THETA trading volume on Binance spiked by 243% reaching $203M.

Could this be led by Korean exchanges @Official_Upbit @BithumbOfficial and fact that 4 of top 5 Korean universities are Theta Network EdgeCloud AI customers?

https://www.binance.com/en/square/post/16457413291985

💥 CFTC advisory subcommittee recommends tokenized collateral with no rule changes needed💥

■ Advisory committee approves tokenized non-cash collateral

■ The approval will inform future rule-making by the CFTC

The Commodity Futures Trading Commission (CFTC) has a Global Markets Advisory Committee (GMAC) made up of industry participants. Today the subcommittee on digital assets voted in favor (27-0) of three recommendations to adopt DLT and tokenized assets as collateral for margin. The proposals would need to be adopted by the full GMAC Committee and it’s up to the CFTC to decide whether it proceeds.

● The problem addressed by tokenized collateral

Stepping back, the CFTC is the primary regulator for derivatives markets. Typically derivatives require the posting of margin to cover the risk of price swings. Initial margin is provided at the outset, with variation margin during the lifetime of the derivative. Non cash collateral is already allowed by the CFTC but is not used much for variation margin, because moving assets involves multiple intermediaries and hence delays. Plus, assets can only be ...

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Theta Labs welcomes Peking University as new EdgeCloud AI Customer

We are thrilled to announce the addition of Peking University (also known as Beijing University), ranked Top 10 in the world in computer science alongside MIT and Stanford, as an EdgeCloud AI customer. Theta has achieved significant momentum in both US and Korean academia, with institutions like the University of OregonKorea UniversitySeoul Women’s University (SWU)KAISTHankuk University, and Yonsei University utilizing its hybrid cloud GPU infrastructure to advance AI research. EdgeCloud also recently added key corporate customers including Liner, a global leader in generative AI-powered search solutions and Jamcoding, a prominent e-learning coding platform.

This marks an important milestone in Theta’s mission to support advanced AI and blockchain research through hybrid cloud GPU infrastructure. Founded in 1898, Peking University is one of China’s oldest and most prestigious research institutions, renowned for its top-tier programs in science, technology, and innovation and consistently ranked among the world’s leading universities. Known for its pioneering work in AI, distributed computing, and big data research, Peking University will leverage Theta’s high-performance EdgeCloud platform to accelerate innovation across these fields.

About Professor Zhen Xiao and His Research

Professor Zhen Xiao, a renowned researcher in distributed systems and AI, is a tenured professor at the School of Computer Science at Peking University. With a Ph.D. from Cornell University, Professor Xiao leads a lab that has published over 100 high-impact papers featured at leading conferences and journals such as USENIX ATC, SOCC, and IEEE TPDS, accumulating close to 8000 citations — a testament to his influence in research fields including distributed systems, deep learning, blockchain, and cloud computing.

The collaboration between Theta Labs and Professor Xiao started in 2022 when he joined the Theta Advisory Board and was instrumental in the early development of the EdgeCloud platform. The collaboration has also resulted in several joint research papers published in top AI and distributed systems conferences, including:

  • CVPR (Conference on Computer Vision and Pattern Recognition): A prestigious forum for computer vision, focusing on AI-driven image and video analysis (paper summary).
  • KDD (Knowledge Discovery and Data Mining): The premier event for data mining and machine learning research (paper summary).
  • WWW (Web Conference): An influential conference on the future directions of the World Wide Web, including foundational technologies like AI and blockchain (paper summary).
  • MM (ACM Multimedia): A key conference for multimedia computing, addressing AI applications across video, image, and audio data (paper summary).
  • SRDS (International Symposium on Reliable Distributed Systems): A well-regarded event for research on distributed systems with an emphasis on reliability and security (paper summary).

Through these publications, Prof Xiao’s team together with Theta Labs have contributed significantly to advancements in the cross-section of AI and blockchain, specifically in adaptive defense mechanisms for AI models, distributed AI workload scheduling and placement, scalable blockchain frameworks, and cross-shard transaction optimization.

Enhancing AI Research with Theta EdgeCloud

With the support of EdgeCloud’s hybrid cloud GPU infrastructure, Peking University researchers will be able to scale their AI and distributed computing projects to new heights. EdgeCloud will enable Professor Xiao’s team to carry out state-of-the-art research initiatives in distributed machine learning, blockchain state placement, and neural network optimization.

“I’ve been working with Jieyi and the Theta engineering team for more than two years, and saw the incredible innovation and development that led to the launch of EdgeCloud. It is one of the most complex hybrid GPU infrastructure systems I’ve seen in my career,” ~ said Professor Zhen Xiao. 

 

“Now, I’m thrilled that my AI lab at Peking University and dozens of my researchers and staff members can benefit from using EdgeCloud to drive large-scale distributed AI research. We’re looking forward to replacing all of our existing lab and cloud based GPU resources with EdgeCloud’s hybrid cloud edge infrastructure.”

Professor Xiao and his entire team at Peking University have been instrumental in the development of the EdgeCloud platform and providing us invaluable AI insights in the last three years. Theta now has the most-adopted decentralized GPU platform for academia in Asia, and is quickly expanding to North America and the rest of the world. We believe the next major disruption in AI will come from infrastructure companies that harness distributed GPU and computation at scale, with minimal overhead costs and leverages excess resources and capacity. Theta’s edge network and the EdgeCloud platform is ideally positioned to lead this trend.

 

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Stablecoin issuer Paxos to acquire Finland’s Membrane Finance for EU access

Today stablecoin issuer Paxos said it acquired Finnish e-money institution Membrane Finance, the issuer of EURe. The deal gives Paxos a licensed e-money institution (EMI) enabling access to all EU states, subject to regulatory approval.

Paxos and its affiliates are already regulated in New York, Abu Dhabi and Singapore. Under Europe’s MiCA regulations crypto legislation, registration in one state is passported to all other member states.

Paxos is the issuer of the PayPal stablecoin (PYUSD) and its own Paxos dollar (USDP). Its UAE affiliate has issued a yield bearing stablecoin. And in Singapore it recently launched the Global Dollar Network, which will share interest revenues on the USDG stablecoin with distribution partners.

“Stablecoins offer a global solution to challenges that countless people and companies feel when it comes to money movement and payments. Stablecoins are becoming increasingly more prevalent throughout the market as more use cases emerge for everyday users, “ said Walter Hessert, Head of Strategy at Paxos.

 

“With Membrane, we expect to extend our reach to EU customers looking to benefit from stablecoins.”

Stablecoins in the EU

In terms of other stablecoin players, Circle historically had a strong presence in Europe (Ireland). It chose France as its base for MiCAR, directly registering as an EMI.

MiCA regulations require a high proportion of reserves to be held at banks – 30% for smaller stablecoins and 60% for significant ones. Tether claims this is the reason it has not registered in the EU. However, so far it has chosen to remain offshore, avoiding jurisdictions that require it to be regulated. A large part of Tether’s stablecoin balance is on TRON, a blockchain that’s popular in Africa.

Meanwhile, MiCAR also has some quite complicated rules limiting the scale of foreign currency stablecoins in the EU. However, this is widely misunderstood, so we previously provided a deep dive on the topic.

Bank issued stablecoins are also explored as part of our Research report on tokenized deposits and DLT payments.

 

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Tokenization: Asset managers miscalculate institutional investor preferences?

A new asset and wealth management survey by PwC appears to show differences in appetite between asset managers and the institutional investors that they serve. That particularly relates to digital assets and tokenization.

One of PwC’s questions explored which sectors institutional investors are interested in when it comes to tokenization. The biggest gap was money market funds, despite the topic grabbing plenty of press headlines. While 40% of institutional investors hold or plan to hold tokenized money market funds, only 24% of asset managers offer or intend to offer them.

In two other areas, asset managers may have overestimated investor interest: the tokenization of hedge funds and private debt. Asset managers consider private debt as a desirable area (31%) for tokenization, but it looks like there’s less interest from investors (24%). Both asset managers and investors agreed that the most attractive sector for tokenization is private equity.

Another of PwC’s questions was less clear cut because of different time frames. It asked asset and wealth managers which digital assets were in the highest demand in the past 12 months. Whereas it asked investors which digital assets they are most interested in over the next two to three years.

Crypto dominates

Asset managers said crypto (57%) was slightly ahead of investing companies in the sector (54%), with security tokens in fourth place at 41%. Looking forward, investors are far more interested in crypto (62%) compared to any other type of digital asset. Investments in digital asset companies came second at 46%, with security tokens in sixth spot at 25%.

With some surveys, the devil is in the detail, such as who the pollster classifies as an institutional investor? If a large proportion are crypto specialists, then it can bias the results. PwC said that 264 asset managers took part and 257 investors. More than half managed assets of over $10 billion.

 

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