Industry News

Tracks company news, strategic changes, funding activities, and personnel adjustments across the blockchain and crypto industries, delivering a full-spectrum industry overview for our users.

Token Is Completely on Fire, Blockchain Is Heartbroken

Token, a term once central to blockchain's vision of decentralization and economic transformation, has now been popularized by the AI industry as a unit of computation and billing. With the rise of products like OpenAI's ChatGPT and Deepseek, Token has become widely recognized as a measure of API calls and computational power—essentially a "currency for compute." This shift has left the blockchain sector in an ironic position: while it long struggled to explain Token's potential for revolutionizing ownership and community governance, AI has repurposed the term into a practical, everyday concept devoid of cryptographic complexity. The blockchain community once championed "Tokenization of Everything," aiming to convert real-world assets and labor into tradable tokens. Instead, AI achieved a form of tokenization by breaking down text, audio, and video into Tokens for processing—without requiring users to manage private keys or understand consensus mechanisms. This practical adoption contrasts sharply with blockchain’s association with speculation and scandals, as seen in the rise and fall of NFTs and memecoins. Amid a broader crisis of faith in blockchain’s promise—with many innovators expressing disillusionment over the industry’s shift toward speculation—AI’s rapid growth has intensified this sense of irrelevance. However, there are positive signs: traditional assets like U.S. Treasuries and stocks are increasingly being tokenized, attracting major financial institutions like BlackRock and Fidelity. This may signal Token’s return to its original purpose as a vehicle of value, even as AI dominates its popular meaning.

marsbit03/25 02:14

Token Is Completely on Fire, Blockchain Is Heartbroken

marsbit03/25 02:14

Besides the Resolv Hack, This Type of DeFi Vulnerability Has Occurred Four Times Already

An attacker exploited a compromised off-chain signing key in the stablecoin protocol Resolv, minting 80 million USR tokens (pegged to USD) from a $100k–$200k USDC deposit within minutes. The stolen keys allowed unlimited minting due to a design flaw—lacking a minting cap—despite multiple audits. The attacker then converted USR to its wrapped version (wstUSR) and dumped it on DEXs, netting ~11,400 ETH (~$24M). This caused USR to depeg, trading at ~$0.25. The depeg triggered a second-phase crisis: lending markets (including Morpho and Fluid/Instadapp) using wstUSR as collateral relied on hardcoded oracles that priced it near $1 instead of its real market value. Arbitrageurs bought cheap wstUSR, used it as overvalued collateral to borrow stablecoins, and amplified losses. Fluid absorbed over $10M in bad debt; Morpho had 15 vaults exposed. This incident repeats a known DeFi pattern: similar oracle failures occurred with Usual Protocol (Jan 2025), Stream Finance (Nov 2025), and Moonwell (late 2025), where mispriced collateral led to massive bad debt. Critics highlight flawed incentives in the "curator" model (e.g., Gauntlet), where third-party vault managers prioritize high yields without adequate risk controls, and protocols outsource risk management without enforcing safeguards. The root cause is systemic: over-reliance on static oracles for volatile assets and insecure off-chain infrastructure.

marsbit03/24 12:10

Besides the Resolv Hack, This Type of DeFi Vulnerability Has Occurred Four Times Already

marsbit03/24 12:10

US AI Startups Are All Using Chinese Large Models | Rewire Morning News

U.S. AI Startup Reliance on Chinese Models & Key Tech Updates NVIDIA CEO Jensen Huang declared on a podcast that AGI has been achieved, citing open-source platforms like OpenClaw as evidence, while simultaneously defending AI-generated content against criticism. A U.S.-China security review report revealed that about 80% of American AI startups are using Chinese open-source models from companies like Alibaba, Moonshot AI, and MiniMax, which dominate global rankings. This dependency is seen as a self-reinforcing competitive advantage for China. In a specific case, the $29.3 billion coding tool Cursor was found to be using Moonshot's Kimi model without disclosure. Meanwhile, the Pentagon labeled Anthropic a "supply chain risk," drawing political criticism. In energy, the IEA warned the Iran crisis has caused a larger daily oil supply loss than the 1970s shocks, with Russia benefiting as oil prices surge. BlackRock's CEO warned AI will worsen wealth inequality and proposed a government retirement fund and tokenization to broaden market access, aligning with the firm's business interests. Sam Altman stepped down as chairman of Helion Energy to avoid a conflict of interest as OpenAI negotiates a power purchase agreement for fusion energy, a highly ambitious bet given fusion is not yet commercialized. Other notable updates: Trump established a fund to reduce foreign chip reliance; prediction market CEOs invested in a new VC fund despite regulatory challenges; Luma AI released a leading image model; Apple announced AI-focused WWDC 2026; and MicroStrategy continued aggressive Bitcoin purchases.

marsbit03/24 04:41

US AI Startups Are All Using Chinese Large Models | Rewire Morning News

marsbit03/24 04:41

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