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.

Gnosis DAO Faces Massive Treasury Redemption Proposal, "Treasury Raiders" Return

A group of activist investors, often labeled as "treasury raiders," have submitted proposal GIP-150 to Gnosis DAO, calling for a one-time, voluntary, and proportional treasury redemption. The proposal would allow participating GNO holders to claim a share of the over $220 million in DAO reserves. Proponents argue this addresses the persistent and widening discount of GNO's market price relative to the treasury's net asset value. Despite recent DAO funding to Gnosis Ltd., the discount has increased. The current vote, closing May 12th, shows 65% opposition among early votes. The redemption would value each eligible token around $170, a ~30% premium to the current $131 market price. GNO held by Gnosis Ltd. is excluded. DeFi community reactions are mixed. Some commentators acknowledge the "risk-free value" (RFV) arbitrage logic but criticize the proposal as a short-term cash grab lacking legitimacy, as Gnosis never promised treasury backing for the token price. Others oppose it due to Gnosis's contributions to ecosystem infrastructure (Safe, CoW Swap, etc.). Founder Sebastian Bürgel lamented the targeting of respected builders. Aragon's team, previously targeted in similar RFV campaigns, called for better mechanisms to align incentives. This follows a pattern of 2023 RFV-style actions against projects like Rook and Aragon. Recently, Beefy Finance implemented a buyback to preempt such pressure. The proposal's author, Wismerhill, expressed past admiration for Gnosis but now sees this vote as a test of whether holders prioritize short-term arbitrage or long-term ecosystem value.

marsbit05/08 10:16

Gnosis DAO Faces Massive Treasury Redemption Proposal, "Treasury Raiders" Return

marsbit05/08 10:16

Three Months of Raising $6 Billion in Funding: What Are the Leading Crypto VCs Betting On?

While the crypto bear market persists, top-tier venture capital firms are making significant moves by raising massive new funds, signaling a strategic bet on the industry's future. Haun Ventures and a16z recently announced funds totaling $1 billion and $2.2 billion, respectively. This follows other major raises from firms like Dragonfly, Paradigm, ParaFi, and Blockchain Capital. In under three months, these six VCs have amassed over $6 billion in fresh capital, a clear example of counter-cyclical investing during a quiet market phase. The fundraising landscape highlights a sharp divergence between large and small VCs. Many mid-sized and smaller funds are struggling with poor returns, limited exit options, and difficulty raising new capital, leading some to scale back or exit. In contrast, leading firms are strengthening their dominance due to structural advantages: superior access to high-quality deals, the ability to invest across all stages, greater capacity for long-term bets and risk, and stronger negotiation power. These new funds are largely converging on key investment themes. The strongest consensus centers on next-generation on-chain financial infrastructure, including stablecoins, real-world asset (RWA) tokenization, prediction markets, and on-chain payments. VCs are focusing on projects with validated demand that can attract traditional finance flows. Another major focus is artificial intelligence (AI), particularly AI agents, as crypto seeks to position its open, composable networks as foundational infrastructure for the emerging AI economy. Ultimately, this wave of bear-market fundraising is a strategic wager on the next cycle. By deploying capital when valuations are lower and market noise is reduced, these top VCs aim to identify and back the foundational projects that will define the industry's future, betting on which companies will become the next generation of leaders.

marsbit05/08 05:49

Three Months of Raising $6 Billion in Funding: What Are the Leading Crypto VCs Betting On?

marsbit05/08 05:49

Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

In a span of four days, Amazon announced an additional $25 billion investment, and Google pledged up to $40 billion—both direct competitors pouring over $65 billion into the same AI startup, Anthropic. Rather than a typical venture capital move, this signals the latest escalation in the cloud wars. The core of the deal is not equity but compute pre-orders: Anthropic must spend the majority of these funds on AWS and Google Cloud services and chips, effectively locking in massive future compute consumption. This reflects a shift in cloud market dynamics—enterprises now choose cloud providers based on which hosts the best AI models, not just price or stability. With OpenAI deeply tied to Microsoft, Anthropic’s Claude has become the only viable strategic asset for Google and Amazon to remain competitive. Anthropic’s annualized revenue has surged to $30 billion, and it is expanding into verticals like biotech, positioning itself as a cross-industry AI infrastructure layer. However, this funding comes with constraints: Anthropic’s independence is challenged as it balances two rival investors, its safety-first narrative faces pressure from regulatory scrutiny, and its path to IPO introduces new financial pressures. Globally, this accelerates a "tri-polar" closed-loop structure in AI infrastructure, with Microsoft-OpenAI, Google-Anthropic, and Amazon-Anthropic forming exclusive model-cloud alliances. In contrast, China’s landscape differs—investments like Alibaba and Tencent backing open-source model firm DeepSeek reflect a more decoupled approach, though closed-source models from major cloud providers still dominate. The $65 billion bet is ultimately about securing a seat at the table in an AI-defined future—where missing the model layer means losing the cloud war.

marsbit04/26 01:04

Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

marsbit04/26 01:04

Computing Power Constrained, Why Did DeepSeek-V4 Open Source?

DeepSeek-V4 has been released as a preview open-source model, featuring 1 million tokens of context length as a baseline capability—previously a premium feature locked behind enterprise paywalls by major overseas AI firms. The official announcement, however, openly acknowledges computational constraints, particularly limited service throughput for the high-end DeepSeek-V4-Pro version due to restricted high-end computing power. Rather than competing on pure scale, DeepSeek adopts a pragmatic approach that balances algorithmic innovation with hardware realities in China’s AI ecosystem. The V4-Pro model uses a highly sparse architecture with 1.6T total parameters but only activates 49B during inference. It performs strongly in agentic coding, knowledge-intensive tasks, and STEM reasoning, competing closely with top-tier closed models like Gemini Pro 3.1 and Claude Opus 4.6 in certain scenarios. A key strategic product is the Flash edition, with 284B total parameters but only 13B activated—making it cost-effective and accessible for mid- and low-tier hardware, including domestic AI chips from Huawei (Ascend), Cambricon, and Hygon. This design supports broader adoption across developers and SMEs while stimulating China's domestic semiconductor ecosystem. Despite facing talent outflow and intense competition in user traffic—with rivals like Doubao and Qianwen leading in monthly active users—DeepSeek has maintained technical momentum. The release also comes amid reports of a new funding round targeting a valuation exceeding $10 billion, potentially setting a new record in China’s LLM sector. Ultimately, DeepSeek-V4 represents a shift toward open yet realistic infrastructure development in the constrained compute landscape of Chinese AI, emphasizing engineering efficiency and domestic hardware compatibility over pure model scale.

marsbit04/26 00:27

Computing Power Constrained, Why Did DeepSeek-V4 Open Source?

marsbit04/26 00:27

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