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.

Google Engineer Arrested For Using Company’s Own Search Data To Win $1.2 Million On Polymarket

A Google information security engineer, Michele Spagnuolo, has been arrested and charged with commodities fraud, wire fraud, and money laundering. Prosecutors allege he used confidential internal Google search data to place bets on the crypto-based prediction market Polymarket, winning approximately $1.2 million by knowing outcomes before the public. Using an internal tool showing real-time search trends, he reportedly placed successful wagers on contracts tied to Google's "Year in Search" rankings for 2025. This is the second federal criminal case involving Polymarket insider trading in just over a month, following an April arrest of a U.S. Army sergeant accused of using classified military information. The cases highlight increasing legal scrutiny of prediction markets, with blockchain transparency aiding prosecutors. Google placed Spagnuolo on leave and is cooperating with authorities.

bitcoinist05/28 14:31

Google Engineer Arrested For Using Company’s Own Search Data To Win $1.2 Million On Polymarket

bitcoinist05/28 14:31

Token Budget Wars: Enterprise AI Enters the 'Accounting Era'

Token Budget Wars: Enterprise AI Enters the "Accounting Era" Enterprise AI is shifting from the question of "whether to adopt" to "how to account for it." As AI inference costs evolve from experimental budgets into ongoing operational expenses, CEOs and CFOs are demanding proof of value: what tangible results does each dollar spent on tokens deliver? The core of "Token Budget Wars" is not simply about reducing AI bills, but about intelligently allocating compute resources. It involves determining which business processes warrant more computational power, which tasks can use cheaper models, which can be outsourced or handled manually, and which are merely inefficient consumption. A key insight is that AI usage (token consumption) does not equal value. While SaaS usage indicated software adoption, AI token usage only indicates the "meter is running." The same workflow can cost vastly different amounts due to factors like prompt quality, context, model choice, and retries. The critical metric for scaling is "marginal token utility"—the business value created per additional dollar of inference cost. However, this is difficult to measure due to challenges like the long tail of retries, context inflation (where costs can scale quadratically with context length), and inefficient model routing (defaulting to the most powerful model for all tasks). The competition for token allocation is intensifying because, in the AI era, influence is tied to how much intelligence one can command, not just team size. AI spending is essentially competing with labor costs, whether for replacing external BPOs, internal staff, or generating new revenue. BPO contracts provide a clearer benchmark as they are priced per completed unit. The missing layer is attribution from tokens to business outcomes. Companies need a system that connects inference spending to completed work and results, capturing the agent's decision trajectory—what it saw, retrieved, tried, and why it succeeded or failed. This recorded rationale becomes a valuable asset. Ultimately, those who master token-to-outcome attribution will control the allocation of AI resources within enterprises, deciding which workflows get more compute, which are capped, or which revert to humans. The first phase of enterprise AI proved models could do the work. The next phase will determine how much of that work is worth paying for.

marsbit05/28 12:13

Anthropic's Revenue Surpasses OpenAI by at Least 35%, IPO Race Dynamics Shift

Anthropic has overtaken OpenAI in revenue by at least 35%, according to a recent report. Anthropic's annualized revenue is now approximately $45 billion, compared to OpenAI's roughly $33 billion. This represents a dramatic five-fold revenue increase for Anthropic over the first five months of the year, while OpenAI saw growth of just over 50%. The profitability gap is even more significant. Anthropic is expected to post an operating profit in Q2 with around a 5% margin. In stark contrast, OpenAI reported a massive operating loss of over 100% of its revenue in Q1, equating to a loss of at least $7 billion for the quarter. OpenAI also faces substantial costs, including paying 20% of its revenue to Microsoft and high AI server rental fees. This financial reversal impacts their potential IPO timelines. Previously, OpenAI might have been favored to go public first, but now its leadership may view an accelerated IPO as a "more financially prudent choice" to avoid direct, unfavorable public market comparisons. If Anthropic, with its superior growth and profitability metrics, were to file for an IPO first, it would gain a significant valuation advantage. At its current growth rate, Anthropic's revenue could soon surpass major tech firms like Netflix and Salesforce within a year.

marsbit05/28 11:50

Anthropic's Revenue Surpasses OpenAI by at Least 35%, IPO Race Dynamics Shift

marsbit05/28 11:50

The Wind of 'Proactive' AI Blows into Silicon Valley: Hark Secures $700 Million in Funding

Hark, an AI startup founded in late 2025, has raised $700 million in Series A funding at a $6 billion valuation. Led by Parkway Venture Capital with participation from NVIDIA, AMD Ventures, Intel Capital, Qualcomm Ventures, and Salesforce Ventures, the company aims to develop next-generation human-computer interfaces using a combination of proprietary foundational models and custom-built AI-native hardware. Founded by serial entrepreneur Brett Adcock, Hark envisions a system of multimodal devices equipped with agentic capabilities, end-to-end voice models, and personalized memory. This "active" AI approach seeks to move beyond passive chatbots, creating collaborative companions that anticipate needs and interact naturally within the real world. Adcock's experience with Figure, a humanoid robotics company, informs this hardware-focused venture. The article argues that while current AI is powerful, it remains confined to screens and traditional interfaces like chat. The next paradigm shift requires dedicated hardware that is always-on, possesses persistent memory, and enables intuitive interaction, potentially rivaling the impact of the iPhone. Hark is assembling a team with talent from Apple, Meta, Google, and Tesla to tackle this complex engineering challenge across models, hardware, and interaction design. Finally, the piece suggests Chinese startups may have an advantage in this "active" AI hardware space due to strong manufacturing ecosystems, a vast domestic market, and supportive government policies, framing the competition as one that requires integrated progress in models, operating systems, and devices.

marsbit05/28 10:22

The Wind of 'Proactive' AI Blows into Silicon Valley: Hark Secures $700 Million in Funding

marsbit05/28 10:22

Competitors Going Public, Kimi Can't Sit Still

Competitors Go Public, Kimi Feels the Pressure Yue Zhi An Mian (Moonshot AI), the company behind the AI assistant Kimi, has begun dismantling its VIE and red-chip structure, clearing a key obstacle for a potential Hong Kong IPO. This marks a significant shift from six months ago when founder Yang Zhilin stated the company was in "no hurry" to list. The move comes as rivals like Zhipu AI and MiniMax have successfully listed on the Hong Kong Stock Exchange in early 2026, experiencing massive surges in market value. This has reset valuation logic for AI companies, turning "going public" from an end goal into a competitive necessity. Analysts suggest Kimi is both seizing a favorable market window and responding to competitive pressure. Kimi's valuation has skyrocketed from around $3 billion at its 2023 founding to over $20 billion by May 2026. Capital is betting on its potential as a future AI platform and gateway, though some caution this "emotional valuation" depends on sustained technological leadership and successful commercialization. Traditionally focused on core model R&D over user growth, Kimi has recently pivoted strategy. While its monthly active users declined through 2025, it shifted focus to Agent development and reducing marketing spend. The release of its K2.5 model in early 2026 reportedly generated substantial revenue, with annual recurring revenue reaching $200 million by April, driven by subscriptions and API services. A $2 billion D-round financing in May signaled investor approval of this commercial shift. However, listing will bring new pressures. Experts predict a listed Kimi would face stricter scrutiny on financial controls, compliance, and R&D efficiency. The narrative must evolve from pure technological breakthroughs to demonstrating clear commercialization paths, sustainable income, and a defensible valuation, balancing model superiority with business performance.

marsbit05/28 10:02

Competitors Going Public, Kimi Can't Sit Still

marsbit05/28 10:02

Base MCP, The Next Step for x402

Base has officially launched Base MCP, allowing users to connect their Base Account to AI Agents to perform actions like swaps, transfers, portfolio tracking, and transaction history queries through conversational commands. This move aligns with Base's strategic focus on AI, driven by the broader competition in the emerging Agent-to-Agent payment sector. The evolution of Agent payments has accelerated. In late 2024, the primary method involved insecure browser automation. By 2025, solutions like Coinbase's x402 (providing crypto wallets for Agents), Google's AP2, and Visa's token-based system emerged. x402 has since processed 176 million transactions totaling over $70 million, with a median value between $0.01 and $0.10. Stablecoins, particularly USDC, dominate these settlements due to their negligible transaction costs compared to traditional payment fees, which are prohibitive for micro-payments. Coinbase faces competition from Stripe, which has built a comparable infrastructure for Agent payments with its Tempo blockchain, Privy wallets, Bridge routing (acquired for $1.1B), and the recently launched MPP protocol. Both companies are now competing at the application layer. The core reason AI is central to Base's strategy is to expand the scenarios for Agent payments, ensuring more transactions occur on its network. By securing a dominant position and scale advantage in this nascent field, Coinbase aims to capture the future commercial potential of Agent-driven payments. The launch of Base MCP is thus a strategic step in this larger ambition.

marsbit05/28 08:26

marsbit05/28 08:26

Justin Sun’s Interview with Hurun Report: A New Order and Certainty for Value Flow in the Era of Transformation

In an interview with *Hurun Report*, Justin Sun, founder of TRON, discussed the evolution of the Web3 industry as it moves from initial exploration to large-scale adoption. He emphasized that the core value of blockchain lies in building an open and inclusive internet of value, enabling anyone globally to transfer and use funds efficiently and at low cost, regardless of location or access to banking. Sun highlighted that projects with lasting impact are those built on genuine demand and real-world usage. He pointed to the stablecoin payment ecosystem as the most mature and scalable application currently, noting that TRON has rapidly become one of the world's largest stablecoin networks. The circulation of USDT on TRON has surpassed $86.3 billion, driven by actual use cases such as cross-border transfers and daily payments, demonstrating strong network effects. Regarding strategy, Sun outlined a methodology combining data-driven iteration, rapid execution, and user-centric focus. He cited the decision to partner with Tether to launch TRC-20 USDT as a key strategic move, based on an assessment of market trends and long-term potential, which has become a significant growth engine for the TRON ecosystem. On globalization, Sun stressed the importance of local compliance and cultural adaptation, noting that success in different markets depends on deep understanding and local partnerships. He also addressed the convergence of AI and blockchain, describing it as a transformative direction where blockchain provides decentralized infrastructure for AI, while AI enhances the intelligence and user experience of blockchain systems. For industry participants and young entrepreneurs, Sun advised continuous learning and adaptability in a fast-changing environment, focusing on building irreplaceable core strengths rather than spreading resources too thinly. Through infrastructure development, global strategy, and technological foresight, TRON aims to advance the practical implementation and evolution of the value internet.

marsbit05/28 07:47

Justin Sun’s Interview with Hurun Report: A New Order and Certainty for Value Flow in the Era of Transformation

marsbit05/28 07:47

Top Audit Expert Warns: All DeFi is Unsafe, Withdraw Now!

A leading DeFi security expert has issued a stark warning: all DeFi is now unsafe. Manuel Aráoz, founder of major security audit firm OpenZeppelin, stated on X that he is advising friends and family to withdraw funds from major protocols like Aave, MakerDAO, and Compound. The core reason for this drastic shift is the rise of AI. Aráoz argues that AI-powered coding agents can now identify and exploit smart contract vulnerabilities at an exponentially faster rate. This turns DeFi's transparency into a liability, providing a vast training dataset for attackers. The fundamental asymmetry of security—where defenders must patch every flaw, but attackers need only find one—is being catastrophically unbalanced by AI. Recent months provide chilling evidence. April saw massive exploits, including a $280 million loss at Drift Protocol and a $292 million theft from Kelp DAO. The trend continued into May with multiple high-value attacks on protocols like THORChain, Verus, Echo Protocol, and StakeDAO, demonstrating vulnerabilities across both on-chain code and off-chain management. AI acts as a force multiplier for hackers, enabling near-instantaneous vulnerability scanning, automated exploit script generation, and sophisticated social engineering. The recent development of ultra-powerful AI models like Anthropic's Mythos—so advanced its public release was delayed over security fears—signals even greater threats ahead. The article concludes that the risk-reward calculus for DeFi participants has fundamentally broken. With yields on many "blue-chip" protocols now in the single digits, users are essentially risking 100% of their principal for minimal returns, with no recourse in case of attack. In this environment, withdrawing funds may be the most rational risk management decision.

marsbit05/28 04:09

Top Audit Expert Warns: All DeFi is Unsafe, Withdraw Now!

marsbit05/28 04:09

Top Audit Guru Alerts: All DeFi is Unsafe, Withdraw Now!

Leading DeFi security auditor and OpenZeppelin founder Manuel Aráoz has issued a stark warning, declaring all DeFi protocols unsafe and advising the withdrawal of funds, even from established platforms like Aave and MakerDAO. This warning stems from the rapidly growing threat posed by AI-powered hacking tools. Aráoz highlights that AI agents can now identify and exploit smart contract vulnerabilities in minutes, a task that previously took expert teams weeks. This creates a critical asymmetry: defenders must patch every flaw, while attackers need only find one. Recent months have seen a surge in high-profile exploits, with billions lost in April and May alone across protocols like Drift Protocol, Kelp DAO, and THORChain. The acceleration is attributed to AI's ability to perform rapid code scanning, generate automated attack scripts, and even orchestrate social engineering and infrastructure attacks faster than human defenders can respond. The article cites Anthropic's powerful new AI model, Mythos, which demonstrated such proficiency in finding zero-day vulnerabilities that its public release was delayed over security concerns. This evolution fundamentally disrupts DeFi's risk-reward calculus. With yields on reliable protocols falling to single digits, users now face the potential of 100% capital loss for minimal returns. Aráoz's conclusion is that for most users, withdrawing funds to secure wallets is the most rational risk-management choice in the current landscape.

Odaily星球日报05/28 03:57

Top Audit Guru Alerts: All DeFi is Unsafe, Withdraw Now!

Odaily星球日报05/28 03:57

Behind Changxin Technology, Stands a Group of A-Share Companies

Changxin Technology, a leading Chinese DRAM (Dynamic Random Access Memory) manufacturer, has passed the review by the STAR Market listing committee, moving closer to an IPO. The company, seeking to raise 29.5 billion yuan, is the first to utilize the new "pre-review mechanism" on the STAR Market, expediting its approval process within five months. As China's largest and most technologically advanced integrated DRAM company, Changxin has achieved mass production of mainstream DDR5 and LPDDR5X products. It holds the fourth-largest global market share and ranks first in China, though it still trails behind industry leaders Samsung, SK Hynix, and Micron in areas like HBM technology. The company reported its first annual profit in 2025, with net profit surging to 24.762 billion yuan in Q1 2026, driven by booming AI-related demand. The IPO has drawn significant market attention due to Changxin's extensive and prestigious shareholder base. This includes state-backed funds like the National Integrated Circuit Industry Investment Fund II, industrial partner GigaDevice, internet giants (Xiaomi, Alibaba, Tencent), and several securities firms and A-share listed companies such as InfoMotion, Shangfeng Cement, and Hefei Urban Construction, which stand to benefit from the listing. The company's founder, Zhu Yiming, a pivotal figure in China's semiconductor industry who also founded GigaDevice, has committed to an unprecedented long-term lock-up of his shares and a massive personal equity incentive plan worth an estimated over 20 billion yuan for employees, excluding himself, upon listing.

marsbit05/28 03:25

Behind Changxin Technology, Stands a Group of A-Share Companies