BRC-2.0: Can Bitcoin’s Smart-Token Standard Recapture the Magic of the 2023 Inscription Boom?
The Upgrade That Went Live at Block 912,690 On 2 September 2025, at Bitcoin block height 912,690, the BRC20 stack received its biggest overhaul since launch. Dubbed BRC-2.0, the release—co-authored by original designer Domo and the Ordinals team Best in Slot—drops a fully functioning Ethereum Virtual Machine (EVM) inside the BRC20 indexer. The move turns Bitcoin into a Turing-complete settlement layer, promising DeFi, NFT markets, borrow-lend and synthetic-asset apps without leaving the BTC s...
Burn vs. Redistribution in Crypto: Which Mechanism is Better?
Core Topic: Exploring the applicable scenarios for burn and redistribution mechanisms in cryptocurrency, emphasizing that redistribution is superior when economic value impacts system security. Key Definitions: * Slashing: The act of reclaiming assets from malicious actors. * Burn vs. Redistribution: Methods for handling the reclaimed assets. Burning reduces the total supply, while redistribution transfers the value to other parties. The Advantages of Redistribution: * Enhances economic secur...
Coinbase Invests in WCT, Secures $45.75M Funding, Set to Launch on OK Exchange—Is a 100x King in the…
Community Launch of WCT In the cryptocurrency realm, every significant funding round and project launch can create waves in the market. Recently, a major announcement has captured the attention of the crypto community: WalletConnect (WCT), backed by Coinbase, has successfully raised $45.75 million and is set to make its debut on OK Exchange. This news has sent ripples through the market, leading many investors to wonder if a 100x king is truly on the horizon. Specific Launch Times:WCT Deposit...
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BRC-2.0: Can Bitcoin’s Smart-Token Standard Recapture the Magic of the 2023 Inscription Boom?
The Upgrade That Went Live at Block 912,690 On 2 September 2025, at Bitcoin block height 912,690, the BRC20 stack received its biggest overhaul since launch. Dubbed BRC-2.0, the release—co-authored by original designer Domo and the Ordinals team Best in Slot—drops a fully functioning Ethereum Virtual Machine (EVM) inside the BRC20 indexer. The move turns Bitcoin into a Turing-complete settlement layer, promising DeFi, NFT markets, borrow-lend and synthetic-asset apps without leaving the BTC s...
Burn vs. Redistribution in Crypto: Which Mechanism is Better?
Core Topic: Exploring the applicable scenarios for burn and redistribution mechanisms in cryptocurrency, emphasizing that redistribution is superior when economic value impacts system security. Key Definitions: * Slashing: The act of reclaiming assets from malicious actors. * Burn vs. Redistribution: Methods for handling the reclaimed assets. Burning reduces the total supply, while redistribution transfers the value to other parties. The Advantages of Redistribution: * Enhances economic secur...
Coinbase Invests in WCT, Secures $45.75M Funding, Set to Launch on OK Exchange—Is a 100x King in the…
Community Launch of WCT In the cryptocurrency realm, every significant funding round and project launch can create waves in the market. Recently, a major announcement has captured the attention of the crypto community: WalletConnect (WCT), backed by Coinbase, has successfully raised $45.75 million and is set to make its debut on OK Exchange. This news has sent ripples through the market, leading many investors to wonder if a 100x king is truly on the horizon. Specific Launch Times:WCT Deposit...
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Amid global economic uncertainty and persistently bearish market sentiment, Web3 AI remains one of the fastest-growing reflexive sectors. The rapid advancement of AI innovation—driven by tech giants like OpenAI, Anthropic, DeepSeek, Nvidia, and Alibaba—has kept it in the spotlight.
After hitting a low of $4 billion in March, the total market cap of the AI sector has rebounded to $6 billion. Despite broader market pressures, teams continue exploring AI Agent use cases tailored for crypto. The landscape has evolved from early, generic conversational bots to more practical, problem-solving applications, with emerging trends such as:
Sports Analytics & Automated Betting: AI Agents analyze live game data and autonomously execute betting strategies.
Trading Assistance & Execution: Smart AI Agents assess market trends and handle complex trades.
DeFi Yield Optimization: Agent systems dynamically adjust stablecoin lending strategies to maximize returns.
Earlier this year, DeFAI’s hype centered on ChatGPT-style interfaces as a bridge between users and DeFi protocols. However, practice revealed that mere chat interfaces failed to deliver good UX, primarily because most projects underinvested in the "reasoning layer" (understanding intent) and "execution layer" (optimizing transactions). For instance, users often found it more efficient to use established tools like DefiLlama Aggregator or Pendle rather than relying on AI Agents for routing suggestions.
Now, projects are shifting toward "Alpha Discovery"—helping users uncover the most valuable market signals in an information-scarce environment. Examples include:
On-chain analytics: Tracking smart wallets and fund flows for early signals.
Social sentiment mining: Parsing trends on X, Telegram, and Discord.
Institutional-grade risk management: Platforms like GigabrainGG offering elite trading signals.
While no AI Agent has yet proven consistent alpha generation, early successes hint at potential.
Traditional ChatGPT-style interactions don’t suit all scenarios. Web3 AI Agents are now integrating into users’ workflows more naturally:
X Platform Integration: Agents like Clanker and Bankr operate directly on X, where crypto communities thrive.
Discord Voice Commands: AgentTank enables voice-controlled on-chain actions within Discord.
Web3 Browser Automation: "Computer Use Agents" navigate non-API websites, scrape data, and execute trades like humans.
These innovations are redefining Web3 UX, embedding AI into trading and research processes.
Virtuals’ tokenized AI Agent platform has grown from 50 to 716 agents in six months, despite market downturns. Key active use cases include:
GambleFAI: Billy Bets, a top performer in AI betting, achieved 30% ROI in ProphetX’s prediction contests.
Sports Analytics: HeyTracyAI delivers AI-powered NBA insights.
Embodied AI: SAM is building a decentralized AI compute network akin to Bittensor.
Alpha Discovery: aixbt and Acolyt specialize in on-chain data and trade signals.
Virtuals is also developing the Agent Commerce Protocol (ACP) to enable collaborative AI economies, with early applications like agent-run hedge funds and media hubs.
Bittensor’s TAO token is seeing renewed demand. Previously used mostly for staking, TAO is now flowing into subnet tokens to support specific AI applications:
dTAO Model (Feb 2025): TAO inflation rewards are market-driven, incentivizing high-value subnets (e.g., SN6, 41, 44) powering consumer AI Agents like Billy Bets.
ElizaOS, a leading AI Agent framework, will soon release V2 and launch the Autofun platform with 15 projects. Key updates:
Growth: 15.3k GitHub stars, 5k forks.
Security Challenges: Sentient’s research exposed fund management vulnerabilities, highlighting the need for robust safeguards.
Decentralized GPU Hosting: Comput3AI will debut on Autofun.
AI Agents remain one of Web3’s most promising frontiers, merging AI and crypto to redefine productivity. From trading assistants to cross-chain automation, they’re forging a new paradigm—akin to the 1990s internet boom but with far greater impact. For early adopters, now is the time to engage.
Like this article? Follow @Odaily for more insights on Web3 and AI trends.
Amid global economic uncertainty and persistently bearish market sentiment, Web3 AI remains one of the fastest-growing reflexive sectors. The rapid advancement of AI innovation—driven by tech giants like OpenAI, Anthropic, DeepSeek, Nvidia, and Alibaba—has kept it in the spotlight.
After hitting a low of $4 billion in March, the total market cap of the AI sector has rebounded to $6 billion. Despite broader market pressures, teams continue exploring AI Agent use cases tailored for crypto. The landscape has evolved from early, generic conversational bots to more practical, problem-solving applications, with emerging trends such as:
Sports Analytics & Automated Betting: AI Agents analyze live game data and autonomously execute betting strategies.
Trading Assistance & Execution: Smart AI Agents assess market trends and handle complex trades.
DeFi Yield Optimization: Agent systems dynamically adjust stablecoin lending strategies to maximize returns.
Earlier this year, DeFAI’s hype centered on ChatGPT-style interfaces as a bridge between users and DeFi protocols. However, practice revealed that mere chat interfaces failed to deliver good UX, primarily because most projects underinvested in the "reasoning layer" (understanding intent) and "execution layer" (optimizing transactions). For instance, users often found it more efficient to use established tools like DefiLlama Aggregator or Pendle rather than relying on AI Agents for routing suggestions.
Now, projects are shifting toward "Alpha Discovery"—helping users uncover the most valuable market signals in an information-scarce environment. Examples include:
On-chain analytics: Tracking smart wallets and fund flows for early signals.
Social sentiment mining: Parsing trends on X, Telegram, and Discord.
Institutional-grade risk management: Platforms like GigabrainGG offering elite trading signals.
While no AI Agent has yet proven consistent alpha generation, early successes hint at potential.
Traditional ChatGPT-style interactions don’t suit all scenarios. Web3 AI Agents are now integrating into users’ workflows more naturally:
X Platform Integration: Agents like Clanker and Bankr operate directly on X, where crypto communities thrive.
Discord Voice Commands: AgentTank enables voice-controlled on-chain actions within Discord.
Web3 Browser Automation: "Computer Use Agents" navigate non-API websites, scrape data, and execute trades like humans.
These innovations are redefining Web3 UX, embedding AI into trading and research processes.
Virtuals’ tokenized AI Agent platform has grown from 50 to 716 agents in six months, despite market downturns. Key active use cases include:
GambleFAI: Billy Bets, a top performer in AI betting, achieved 30% ROI in ProphetX’s prediction contests.
Sports Analytics: HeyTracyAI delivers AI-powered NBA insights.
Embodied AI: SAM is building a decentralized AI compute network akin to Bittensor.
Alpha Discovery: aixbt and Acolyt specialize in on-chain data and trade signals.
Virtuals is also developing the Agent Commerce Protocol (ACP) to enable collaborative AI economies, with early applications like agent-run hedge funds and media hubs.
Bittensor’s TAO token is seeing renewed demand. Previously used mostly for staking, TAO is now flowing into subnet tokens to support specific AI applications:
dTAO Model (Feb 2025): TAO inflation rewards are market-driven, incentivizing high-value subnets (e.g., SN6, 41, 44) powering consumer AI Agents like Billy Bets.
ElizaOS, a leading AI Agent framework, will soon release V2 and launch the Autofun platform with 15 projects. Key updates:
Growth: 15.3k GitHub stars, 5k forks.
Security Challenges: Sentient’s research exposed fund management vulnerabilities, highlighting the need for robust safeguards.
Decentralized GPU Hosting: Comput3AI will debut on Autofun.
AI Agents remain one of Web3’s most promising frontiers, merging AI and crypto to redefine productivity. From trading assistants to cross-chain automation, they’re forging a new paradigm—akin to the 1990s internet boom but with far greater impact. For early adopters, now is the time to engage.
Like this article? Follow @Odaily for more insights on Web3 and AI trends.
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