This sector has seen explosive growth, with numerous projects now valued over a billion dollars with $230M invested in July 2024 alone.
Let's dive into the intersection of decentralized AI and blockchain technology.
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First, let's break down some key components in AI x Crypto:
1. Decentralized Compute Networks: Networks of GPUs for model training and inference. 2. Model Coordination Platforms: Incentivizing model development and specialized inference settings.
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3. AI Tools and Services: Marketplaces for AI models and services. 4. Apps: Consumer and enterprise products leveraging AI models.
Now that we understand the various components, the question remains: what is really going on at the intersection of AI and Crypto?
Decentralized AI leverages GPU networks and model coordination to drive innovation.
This approach allows for broad experimentation, contrasting with the centralized, resource-heavy methods of companies like OpenAI and Google DeepMind.
AI agents will soon become autonomous, specialized in tasks, and utilize crypto for transactions.
Platforms like @AIWayfinder will enable AI agents to perform secure onchain actions, such as token swaps and staking, thus integrating AI more deeply into the blockchain ecosystem.
Open-source AI coordination, as seen with Bittensor, provides a sandbox for AI model experimentation. Using token incentives like TAO, these projects foster innovation and collaboration, pushing the boundaries of decentralized AI development.
We believe the future of decentralized AI is bright. As AI agents gain more capabilities, they will significantly increase onchain economic activity.
This evolving intersection of AI and Crypto is poised to transform how we think about and use technology as a whole.
For a deeper understanding of the intersection of AI x Crypto, read the full report by @bloomberg_seth ⬇️ messari.co/4dq42L9
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1/ The crypto space's evolution has necessitated stronger server infrastructure to meet the increasing performance requirements of blockchains and their applications.
@Old_Samster dives into why advanced physical infrastructure is crucial.👇🧵
@Old_Samster @Filecoin @sphere_labs @akashnet_ 2/ Newer chains like @avax and @Solana demand significantly higher processing power compared to @Ethereum.
This has driven validators towards being hosted in data centers, given their increased demand for processing power, low latency, and high uptime.
3/ Decentralized storage networks (DSNs) and compute networks face similar challenges.
Ordinary people contributing idle storage space isn't enough for commercializing DSNs. Data centers become indispensable for low latency and exceptional uptime.
1/ Scalability is a key factor in the crypto space, with the modular approach gaining popularity. However, @Solana has taken a contrarian stance.
@kelxyz_ explains how @jump_firedancer, a validator client developed by @jump_ aims to enhance Solana's monolithic approach.🧵
2/ @jump_firedancer's first milestone, "fd_quic," demonstrated impressive transaction propagation throughput of 1M transactions per second (TPS) in initial performance tests.
But there's more work to be done to achieve the full potential of Firedancer.
3/ If successful, @jump_firedancer could unlock blue ocean markets for the @Solana ecosystem by offering unprecedented throughput, composability, and low costs.
However, challenges in execution, timing, and competition pose risks to its adoption and success.
+Dynamic Energy Model resulted in revenue up 65.5%
+Circulating Mcap of $TRX increased by 18.1%
+Prominent protocols #justlend & #juststables saw TVL increase at 26% and 21% respectively
1/ In a bear market, it's crucial to focus on long-term market developments and product announcements to understand what may support or drive new waves of app development.
2/ Aligned, a high-performance compute provider, predicts the zero-knowledge proofs (ZKPs) market to reach $10B by 2030.
ZKPs verify computations and ensure privacy in transactions. #Ethereum is expected to capture 66% of the market.
3/ @LensProtocol, a decentralized social graph protocol, introduced Momoka to decrease transaction costs and improve stability.
Lens has seen a 75% decrease in transaction costs, making consumer applications more viable. Momoka is a game-changer for building foundational layers.
2/ The crypto market rebounded in Q1'23, with the market cap of featured Layer-1 (L1) smart-contract platforms increasing by an average of 83% QoQ, but still down 58% YoY.
@ethereum had the highest market cap, over 2x the other networks combined.
2/ @ethereum generated the highest revenue in Q1, driven by its high usage and gas fees. Its revenue was $457M, almost 2.8x the combined revenue of all other featured L1s.
@hedera had the most significant revenue growth, with a 489% increase QoQ, driven by its Consensus Service.