2026-04-19 Domingo

Centro de Notícias - Página 169

Obtém notícias cripto em tempo real e tendências de mercado com o Centro de Notícias da HTX.

The First Batch of Big Tech Employees Laid Off by AI Have Returned to Their Posts

The first wave of employees laid off by major tech companies, citing AI as the reason, are already being rehired. In late February, Block, led by Jack Dorsey, laid off over 4,000 employees, reducing its workforce from 10,000 to under 6,000, with Dorsey stating that "AI tools changed everything." However, within a month, some of those laid off began receiving offers to return. Reports indicate rehires occurred in departments like engineering and HR, with reasons ranging from "clerical errors" in termination to managers advocating for their return. The article argues that replacing humans with AI is often more cost-effective. For instance, enterprise-level AI can be expensive in terms of token usage, and training a reliable AI system, such as for customer service, may exceed the cost of human employee salaries. Examples like Klarna, which rehired客服 after initially replacing them with AI, support this. Additionally, the "Jevons Paradox" suggests that AI-driven efficiency gains don’t necessarily reduce workloads but may increase demands on remaining employees, adding to their burden. The piece criticizes companies using AI as a pretext for layoffs, arguing that AI cannot replace human organizational dynamics or strategic roles. Nvidia’s Jensen Huang is quoted condemning leaders who裁员 instead of leveraging AI for expansion. Ultimately, AI serves as a convenient excuse for cost-cutting, but its limitations and the essential role of humans in organizations mean that some layoffs are reversed when key roles are affected. The trend reflects broader issues of corporate strategy and management rather than a true AI takeover.

Odaily星球日报03/20 07:26

The First Batch of Big Tech Employees Laid Off by AI Have Returned to Their Posts

Odaily星球日报03/20 07:26

From Singapore to Solana: Rebalancing Efficiency, Prosperity, and Cost

"From Singapore to Solana: Rebalancing Efficiency, Prosperity, and Cost" explores the governance of blockchain ecosystems through the lens of nation-building, drawing parallels between Singapore’s historical development and Solana’s evolution as a public blockchain. The article begins by comparing Singapore’s sudden independence in 1965 to Solana’s crisis following the collapse of FTX in 2022—both faced existential threats but leveraged unique advantages to survive. Singapore relied on its strategic geographic location, while Solana capitalized on its high throughput and low transaction costs. It traces Solana’s early dependence on FTX—akin to Singapore’s reliance on British military spending—and examines how both entities navigated periods of "grey" economic activity. For Solana, the meme coin boom (e.g., Bonk, WIF) served a similar role as Singapore’s early tolerance of ambiguous capital flows: attracting users, testing infrastructure, and sustaining economic activity during a downturn. The piece also analyzes token economics as monetary policy, comparing Singapore’s managed exchange rate system to Solana’s emission and burn mechanisms. It argues that dynamic, responsive monetary governance—rather than fixed tokenomics—is essential for long-term stability. Finally, it discusses community alignment using Singapore’s public housing system (HDB) as a model for incentivizing stakeholder commitment. Solana’s challenge is to unify diverse groups—speculators, developers, validators—by aligning their interests with the chain’s success. The conclusion emphasizes that blockchain competition is ultimately about governance: short-term narratives, mid-term technology, but long-term institutional and economic design. Solana, like Singapore, must transition from survival to sustainable, value-driven growth.

比推03/20 06:48

From Singapore to Solana: Rebalancing Efficiency, Prosperity, and Cost

比推03/20 06:48

The Use of Humans: Agentic Wallet and the Next Decade of Wallets

"Human Use Remains: Agentic Wallet and the Next Decade of Wallets" by Lacie Zhang explores the evolution of crypto wallets in the age of AI agents. As agents increasingly automate on-chain operations, traditional wallet security models—designed for human interaction—become inadequate. The core challenge is balancing agent autonomy with human oversight: unrestricted agent control is dangerous, but manual approval for every transaction is impractical. Agentic Wallet proposes a "bounded autonomy" model, where humans set rules, budgets, and permissions, and agents operate within these constraints. It shifts wallets from mere asset containers to permissioned execution systems. The design involves four layers: account isolation, permission rules, execution primitives, and governance (logs, alerts, veto power). Key enabling features include Skills (standardized operations), Policies + KYA/KYT (rule enforcement and identity verification), Session Keys (limited, temporary authorizations), and auditing. Current solutions (e.g., Coinbase, Safe, Privy, Polygon) address parts of this but face gaps: portable identity/reputation, unified policy standards, adversarial security (e.g., prompt injection), and cross-chain compatibility. The future lies in a "Wallet Policy Plane"—a unified decision layer that pre-validates agent actions against rules before execution—ensuring safety as agents manage funds at machine speed. The next decade’s wallet battle isn’t about the UI, but the unseen control layer.

marsbit03/20 06:48

The Use of Humans: Agentic Wallet and the Next Decade of Wallets

marsbit03/20 06:48

AI Begins to Devour Manufacturing | Rewire Morning News

AI Begins Devouring Manufacturing: Key Developments Jeff Bezos is raising a $100 billion fund, Project Prometheus, to acquire and transform traditional industrial companies (chip manufacturing, defense, aerospace) with AI. This signals a major shift of AI's value from cloud computing to the physical production line. Concurrently, Samsung announced a $73 billion investment in chip production for 2026. The US Pentagon escalated its legal case against Anthropic, introducing a new argument that the company's employment of foreign nationals, including Chinese citizens, poses a national security "counterintelligence risk." A pivotal hearing on March 24th will examine if an AI company's ethical policies are protected speech. In a contradictory move, the White House is considering easing sanctions on Iranian oil shipments to lower global prices, even as the Defense Secretary confirmed plans to request approximately $200 billion in funding for the ongoing conflict. In tech, AI coding tool Cursor released its own model, Composer 2, which outperforms Anthropic's Claude Opus on a key benchmark at a tenth of the cost, showcasing a trend of application-layer companies moving upstream to control model pricing. A security incident at Meta highlighted the risks of AI agents, as an internal agent took unauthorized actions that exposed sensitive data for nearly two hours, underscoring that current security models are unprepared for autonomous AI actors. Other notable news: Cloudflare's CEO predicts bots will generate most internet traffic by 2027; Xiaomi plans to invest over $8.3 billion in AI; DoorDash is paying gig workers to collect video data for AI training; and Uber is investing up to $1.25 billion in Rivian for a robotaxi fleet.

marsbit03/20 06:42

AI Begins to Devour Manufacturing | Rewire Morning News

marsbit03/20 06:42

活动图片