2026-05-18 Monday

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a16z: How Should Crypto Entrepreneurs Understand the CLARITY Act?

a16z: How Crypto Entrepreneurs Should Understand the CLARITY Act? The U.S. Senate Banking Committee's bipartisan vote to advance crypto market structure legislation, specifically the Digital Asset Market CLARITY Act, marks a historic moment for the industry. For a decade, a lack of clear U.S. regulation has stifled innovation, created consumer risks, and pushed development overseas. CLARITY aims to end this by establishing clear rules for blockchain networks and digital assets, similar to how the 1933 Securities Act shaped capital formation. The current regulatory patchwork has failed, causing legal confusion and enabling bad actors while hindering responsible builders. CLARITY provides a path forward by clarifying the regulatory roles of the SEC and CFTC, defining whether digital assets are securities or commodities, and establishing oversight for crypto exchanges and consumer protections. Crucially, CLARITY recognizes that blockchain networks are fundamentally different from traditional companies. Networks operate through shared rules and decentralized coordination, not centralized control. Applying corporate frameworks distorts them, leading to value extraction by intermediaries. Blockchain enables truly decentralized networks where value can be distributed to participants. CLARITY is designed to make this viable under U.S. law, allowing builders to operate transparently, raise capital domestically, and focus on long-term innovation without structural compromises due to regulatory ambiguity. The bill's progression follows earlier House efforts like FIT21 and the House CLARITY Act, which received strong bipartisan support. If passed, CLARITY could unlock significant innovation within the U.S., similar to the growth seen after the GENIUS Act for stablecoins, helping the U.S. lead in the digital economy while better combating fraud and abuse.

marsbit19m ago

a16z: How Should Crypto Entrepreneurs Understand the CLARITY Act?

marsbit19m ago

AI Benefits Senior Staff? 40% of CEOs Plan to Cut Junior Positions, Young People's Jobs Are More at Risk

The traditional assumption that senior employees are first in line during layoffs is being inverted in the AI era. A survey of 415 CEOs by Oliver Wyman and the NYSE reveals 43% plan to cut entry-level positions in the next 1-2 years to shift towards a mid-to-senior talent structure, a sharp rise from 17% last year. The logic is that AI excels at automating routine, cognitive tasks typically handled by junior staff (e.g., coding, data review), while the experience and judgment of senior employees remain harder to replicate. Research indicates this shift primarily manifests as a hiring freeze for junior roles rather than mass layoffs. Goldman Sachs estimates AI currently nets a loss of about 16,000 US jobs monthly, disproportionately impacting Generation Z concentrated in highly automatable white-collar roles. This raises long-term concerns about a broken talent pipeline, as companies risk having no future senior managers trained internally. Despite the dominant trend, a minority of successful AI adopters, like IBM and Salesforce, are expanding junior hiring, arguing these employees are adept at using and building AI tools. However, most companies are still in early AI deployment phases, with 67% in planning/pilot stages and many reporting returns below expectations. The overarching reality is a weakening of job security across all levels, as organizations reshape for an AI-augmented, leaner future.

marsbit1h ago

AI Benefits Senior Staff? 40% of CEOs Plan to Cut Junior Positions, Young People's Jobs Are More at Risk

marsbit1h ago

Why Zcash Is Back in the Game

The article, an update from ZODL founder Josh Swihart, outlines Zcash's evolution from a "privacy coin" into a broader financial privacy infrastructure. Its core mission is to build a parallel financial system free from mass surveillance, enabling users to privately hold and spend ZEC anywhere. The strategy emphasizes focus: building essential protocol and product (Zodl wallet) capabilities in-house, accelerating development by integrating with external products/chains (e.g., NEAR Intents for swaps), and rejecting non-essential "side quests." Recent progress includes the Zodl iOS 3.4.0 release, updates to Swift/Android SDKs, and testing of in-wallet Coinholder Polling for governance. The Zcash Core team is working on shortening block times, fixing shielding issues, and advancing the Zallet alpha wallet. Upcoming features for Zodl include automatic server switching and multi-currency conversion. The piece highlights a shift towards holistic user adoption, connecting financial privacy, wallet experience, cross-chain utility, and community governance. It concludes with updates on an upcoming ZODL Summit, new team hires, grant applications, and recent positive media coverage, asserting that focused execution is paving the road to a private financial future for billions.

marsbit1h ago

Why Zcash Is Back in the Game

marsbit1h ago

Physical AI is Hot, Some New Thoughts from Me

The term "Physical AI" is gaining significant traction, marking a shift from AI that processes information to AI that understands and interacts with the physical world. Unlike traditional AI confined to screens, Physical AI involves integrating intelligence into robotic bodies to perform tasks in environments governed by gravity, friction, and inertia. The concept, formally defined in a 2020 paper, focuses on creating embodied systems that can complete perception-to-action cycles. 2026 is identified as a pivotal "deployment year," where the focus moves from demonstrations to practical utility. Companies like China's Zhiyuan Robotics have transitioned to live, unscripted factory deployments and announced mass production targets. Internationally, Figure AI, after a major funding round, shifted to its own neural system, while NVIDIA partnered with major industrial robot firms to upgrade millions of existing units with AI capabilities. A key trend is the crossover from the automotive supply chain. Companies like Aptiv and Valeo are entering the Physical AI space, leveraging their expertise in sensors, control systems, and mass production from the autonomous vehicle sector. This "technology spillover" is accelerating development, as seen with Tesla's plans to repurpose automotive production lines for its Optimus robot. The technical breakthrough enabling this progress is the engineering maturity of "world models." Previously theoretical, these AI models can now simulate physical interactions and generate vast, realistic synthetic training data for robots. Innovations from NVIDIA's Cosmos, Ant's LingBot-World, and others have made this capability more accessible, drastically reducing the cost and time needed for real-world data collection. This is driving a fundamental architectural shift in robotics: from the traditional "sense-plan-act" model, reliant on pre-programmed rules, to a "sense-reason-act" paradigm where neural networks reason and make decisions. This change represents a new paradigm where machines understand the world's physics. The competition is intense, with the landscape still forming. While the direction is clear, success will depend not just on AI algorithms but on manufacturing scalability, supply chain resilience, and efficient data strategies, with infrastructure providers potentially capturing significant value in this new era.

marsbit1h ago

Physical AI is Hot, Some New Thoughts from Me

marsbit1h ago

The AI Mirror Behind DeepSeek's Financing: Alibaba to the Left, Tencent to the Right

The DeepSeek financing round exposed a strategic divergence in AI approaches between Alibaba and Tencent. When the AI startup sought external funding, Alibaba reportedly sought "ecosystem control," wanting to deeply integrate DeepSeek's technology into its own platforms like Taobao and Aliyun. Tencent, in contrast, offered a minority financial investment without demands for exclusivity or control over the startup's technical direction, aligning with its historical "open ecosystem" strategy. ByteDance, largely absent from these talks, pursues a third path: massive in-house investment in its own model, Doubao. These choices stem from corporate DNA: Alibaba's e-commerce and cloud heritage favors closed-loop control, while Tencent's social and investment background prefers open connection. Alibaba, with its mature in-house AI stack (Tongyi Qianwen, Pingtouge chips), could afford to walk away. Tencent's self-developed Hunyuan model, though catching up, allows it to engage externally from a position of greater flexibility. The article posits these strategies—Alibaba's "castle" of vertical integration, Tencent's "port" of open ecosystems, and ByteDance's aggressive C-end push—will lead to a sustained, multi-polar competitive landscape in China's AI sector, rather than a single winner-takes-all outcome.

marsbit1h ago

The AI Mirror Behind DeepSeek's Financing: Alibaba to the Left, Tencent to the Right

marsbit1h ago

Bitcoin's $78,000 Support Faces Ultimate Test: With Soaring Treasury Yields and Inflation Pressure, the Door to $75,000 is Opening

Bitcoin has fallen below the $78,000 support level, now facing a critical test due to severe macro pressures. The price slid from above $81,000 to a low near $77,711, with the $77,700-$78,000 zone identified as the next key support. The primary headwinds are surging U.S. Treasury yields—with the 10-year approaching 4.6% and the 30-year surpassing 5.13%—and persistent inflation. April's CPI accelerated to 3.8%, while WTI oil prices climbed above $105. These factors increase the opportunity cost of holding zero-yield assets like Bitcoin and tighten the Fed's policy space. Crucially, U.S. spot Bitcoin ETFs, which previously provided a buffer, saw significant net outflows on two of the past three trading days, removing buying support when it was most needed. The technical outlook hinges on whether Bitcoin can hold above $77,700. A daily close below this level could open a path toward $76,500 and then the major $75,000 support. A recovery above $80,000 is needed to break the bearish pattern, with a close above $82,000 (the 200-day moving average) required to invalidate the breakdown. Failure to hold support could shift the narrative from a crypto correction to a broader, macro-driven risk asset deleveraging.

marsbit2h ago

Bitcoin's $78,000 Support Faces Ultimate Test: With Soaring Treasury Yields and Inflation Pressure, the Door to $75,000 is Opening

marsbit2h ago

Dumping US Bonds, Buying Japanese Bonds: Wall Street Prepares for 'Capital Repatriation to Japan'

Wall Street is bracing for a potential "great repatriation" of Japanese capital as yields on Japanese Government Bonds (JGBs) soar to multi-decade highs. The 10-year JGB yield recently hit 2.73%, its highest since 1997, while the 30-year yield broke 4% for the first time. This dramatic shift is causing global asset managers to reassess a long-ignored risk: that Japanese investors, who hold roughly $1 trillion in U.S. Treasury debt, could start bringing that money home. For decades, Japan's ultra-low interest rates pushed domestic insurers, pension funds, and banks to seek yield overseas, primarily in U.S. Treasuries. Now, with the Bank of Japan hiking rates and JGB yields climbing, the incentive is reversing. Firms like BlueBay Asset Management are preparing for this shift, believing new Japanese investments will be directed domestically rather than to foreign bonds. Early signs of repatriation are emerging, with record monthly inflows into Japanese sovereign bond funds in March. Some managers, like Ruffer's Matt Smith, hold yen as a hedge, anticipating that market stress could trigger a rapid acceleration of capital returning to Japan. However, analysts caution that a mass exodus hasn't begun yet. Japanese investors were still net buyers of foreign bonds over the past year. Uncertainty remains high as Japan's government fiscal plans could push JGB yields even higher, making investors hesitant to buy immediately. Furthermore, the Bank of Japan's withdrawal as a dominant bond buyer has increased market volatility. Nevertheless, the potential scale of Japanese selling poses a tangible risk to the U.S. Treasury market. As the largest foreign holder of U.S. debt, any sustained shift by Japanese institutions could materially impact supply and demand dynamics, pushing U.S. yields higher. Wall Street's current positioning is a forward-looking bet on this logic becoming increasingly compelling as Japanese yields continue to rise.

marsbit3h ago

Dumping US Bonds, Buying Japanese Bonds: Wall Street Prepares for 'Capital Repatriation to Japan'

marsbit3h ago

How Did Institutions Adjust Their Crypto Asset Holdings in Q1? Who Increased and Who Exited?

The Q1 2026 13F filings reveal a sharply divided picture of institutional activity in crypto assets. Sovereign wealth funds and bank capital increased exposure, while major endowment funds notably de-risked. The most significant buying came from the Abu Dhabi sovereign wealth fund Mubadala, which expanded its position in the iShares Bitcoin Trust (IBIT). JPMorgan Chase dramatically increased its IBIT exposure by 174%, with other global banks like RBC, Scotiabank, and Barclays also adding to Bitcoin ETF holdings, while using options for asymmetric protection. Conversely, the Harvard Management Company (Harvard University's endowment), once a major academic holder, cut its IBIT position by 43% and fully exited a BlackRock Ethereum ETF. The reallocated capital flowed into traditional assets like TSMC, Microsoft, and gold. Other Ivy League endowments showed varied strategies: Brown and Dartmouth maintained Bitcoin positions, with Dartmouth making a nuanced shift by moving Ethereum exposure to a staking ETF and adding a Solana staking ETF to capture yield. Hedge fund Jane Street significantly reduced Bitcoin ETF holdings, locking in profits, while Wells Fargo increased its Ethereum stake. Overall, institutions are deploying traditional capital market tactics—buying, selling, hedging, and rotating—within crypto via spot ETFs. The Q2 reports will be crucial to determine if Harvard's retreat is an outlier or the start of a broader trend among endowments.

marsbit3h ago

How Did Institutions Adjust Their Crypto Asset Holdings in Q1? Who Increased and Who Exited?

marsbit3h ago

Blockchain Capital Partner: Most People Have a Narrow Understanding of the On-Chain Economy

Blockchain Capital Partner Spencer Bogart argues that the dominant view of on-chain economics as merely a faster, cheaper version of existing finance is narrow. While significant, applications like efficient settlements and tokenized assets represent only the initial, obvious phase—akin to email in the early internet. The larger opportunity lies in entirely new categories made possible by the foundational properties of public blockchains: atomic execution, shared global state, programmable assets, and composability. These enable actions that were structurally impossible before, which Bogart terms "new verbs." The prime example is the flash loan—uncollateralized, arbitrarily large loans guaranteed by atomic transaction rollback—a financial primitive inconceivable in traditional systems. Bogart acknowledges the limits of imagination in predicting these novel applications, as they lack precedent. The most transformative future uses will likely be those we cannot yet describe, emerging from the fusion of settlement, custody, and execution into a single programmable environment. Just as the internet spawned search, social networks, and SaaS beyond email, the vast, largely unexplored design space of on-chain economics holds the potential for orders-of-magnitude greater innovation in the coming decade.

marsbit4h ago

Blockchain Capital Partner: Most People Have a Narrow Understanding of the On-Chain Economy

marsbit4h ago

Blockchain Capital Partner: Most People Have a Narrow Understanding of the On-Chain Economy

Author Spencer Bogart, a partner at Blockchain Capital, argues that most people have a narrow view of the on-chain economy, seeing it primarily as a faster, cheaper version of existing financial systems. While this represents a significant opportunity, he believes it's only a small part of the story. Bogart compares the current state of crypto to the early internet, where email was the obvious "faster mail" application. The truly transformative categories—like search, social media, and cloud computing—were entirely new and unimaginable beforehand. Similarly, the most profound innovations in crypto will not be incremental improvements but entirely new categories enabled by the core properties of public blockchains: atomic execution, shared global state, programmable custody, and composability. He cites the "flash loan" as a prime example of a "new verb"—a financial action structurally impossible before programmable assets and atomic settlement. It allows for uncollateralized, trustless borrowing of any size, provided repayment occurs within the same transaction, enabling novel strategies like arbitrage and collateral swaps. Bogart admits the difficulty in precisely predicting these future innovations, as human imagination tends to extrapolate from the past. He posits that the most exciting applications in ten years will be things that don't exist today and have no precedent—products only possible in a global, composable, always-on environment with programmable assets. While the exploration of this vast design space will involve many failures, the potential for transformative, category-defining breakthroughs is what makes the next decade so promising.

链捕手4h ago

Blockchain Capital Partner: Most People Have a Narrow Understanding of the On-Chain Economy

链捕手4h ago

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