【practical crypto strategy backtesting platform for smarter crypto trading】
发布时间：2026-04-04 19:36:40 来源：Matrix Risk Lab 作者：Auto Trading
-
In Jack Dorsey's view of the world,practical crypto strategy backtesting platform for smarter crypto trading the job most at risk from the AI revolution is the middle manager.\n\nDorsey argues in a new essay , "From Hierarchy to Intelligence," published with Roelof Botha, Sequoia Capital's managing partner, an investor in Block, that his company's decision to cut approximately 4,000 of its more than 10,000 employees was not a cost reduction but a permanent restructuring to replace middle managers with AI.\n\nCorporate hierarchy, the essay argues, has always existed to solve one problem: routing information through organizations too large for any single person to oversee.\n\nManagers aggregate context from below, act as messengers from above, and maintain alignment across teams. AI can now perform those functions continuously and at scale, the authors argue, making the messenger redundant.\n\nIn place of management layers, Dorsey and Botha proposes two AI-driven "world models."\n\nOne aggregates internal data from code, decisions, workflows, and performance metrics to create a continuously updated picture of company operations, replacing the context that managers traditionally carried.\n\nThe other maps customer and merchant behavior using transaction data from Cash App and Square.\n\nThose models feed what Block calls an “intelligence layer” that composes financial products dynamically to fit market demand.\n\nIf done properly, the models absorb the coordination work that previously justified the existence of middle management.\n\nRather than building from fixed roadmaps, the essay proposes breaking Block’s business into modular capabilities, including payments, lending, card issuance and payroll.\n\nWhen the system identifies a need, the essay’s example is a merchant facing a seasonal cash flow gap, it assembles a solution from existing capabilities. When it cannot, the missing capability defines what gets built next, replacing the product roadmap with a system-generated backlog.\n\nThe organizational structure is reduced accordingly. Block plans to operate with three roles: individual contributors who build the system, directly responsible individuals who own specific outcomes on 90-day cycles, and player-coaches who remain hands-on while developing people.\n\nDorsey told Wired in early Marchthe restructuring was triggered by a capability shift he observed in December in tools including Anthropic’s Opus 4.6 and OpenAI’s Codex 5.3, which he said was now capable of operating effectively in large codebases.\n\nBut current and former Block employees told the Guardian that roughly 95% of AI-generated code changes still require human modification, and that AI tools cannot yet lead in regulated areas like banking and money transfers.
- 上一篇：Crypto rebounds as oil dips on Trump comments, but derivatives signal weak conviction
- 下一篇：The bitcoin treasury boom is unwinding as some companies and governments sell holdings
- How Automated Crypto Trading improves daily trading workflows 721
- How Market Analysis supports long term strategy development 673
- How to evaluate a platform for Strategy Optimization 374
- How Risk Management supports long term strategy development 444
相关文章
- Oil trader takes $17 million hit as tokenized crude rivals bitcoin liquidations
- Jamie Dimon signals JPMorgan entry into prediction markets as competition surges
- Beyond T-bills: OpenEden introduces tokenized high-yield corporate bond
- Citadel-backed EDX Markets applies for U.S. trust charter to expand institutional crypto services
- Jack Dorsey says AI should replace the middle manager after Block cuts 4,000 jobs
- The bitcoin treasury boom is unwinding as some companies and governments sell holdings
- Grayscale’s research head says tokenization will happen in waves and explains how to play it
- Grayscale’s research head says tokenization will happen in waves and explains how to play it
- Crypto rebounds as oil dips on Trump comments, but derivatives signal weak conviction
- Jamie Dimon signals JPMorgan entry into prediction markets as competition surges
- Smart money is hedging bitcoin more aggressively than ether :Crypto Daybook Americas
- Crypto rebounds as oil dips on Trump comments, but derivatives signal weak conviction
- Grayscale’s research head says tokenization will happen in waves and explains how to play it
- Bitcoin, ether, solana slide further as Trump threatens to hit Iran 'extremely hard'
- Cango raises capital as it faces NYSE delisting risk with shares below $1
- Brazil's B3 exchange to offer bitcoin-linked 'event contracts' for the ultra-rich
- Jamie Dimon signals JPMorgan entry into prediction markets as competition surges
- The Protocol: Quantum computing could break Bitcoin sooner, says Google
- Citadel-backed EDX Markets applies for U.S. trust charter to expand institutional crypto services
- Grayscale’s research head says tokenization will happen in waves and explains how to play it
随便看看
Key benefits of Algorithmic Trading for modern traders 792
Beginner guide to Strategy Backtesting 142
Common mistakes to avoid with Risk Management
How Quantitative Trading supports smarter execution 263
- Copyright © 2026 Powered by 【practical crypto strategy backtesting platform for smarter crypto trading】,Matrix Risk Lab sitemap