【automated crypto trading system for quantitative researchers tool】
时间:2026-04-04 20:02:05 来源:Trusted Summit Trading
In Jack Dorsey's view of the world,automated crypto trading system for quantitative researchers tool 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.
-
Jamie Dimon signals JPMorgan entry into prediction markets as competition surgesWhy more users are adopting Portfolio Automation 765Key benefits of Paper Trading for modern traders 849Advanced insights into Paper Trading 509Smart money is hedging bitcoin more aggressively than ether :Crypto Daybook AmericasAdvanced insights into Multi Exchange Trading 806Advanced insights into Paper TradingHow Futures Trading supports long term strategy development 890Metaplanet acquires 5,075 BTC, jumps to third largest bitcoin treasury companyWhy Bot Performance matters in volatile markets 256
上一篇:Oil trader takes $17 million hit as tokenized crude rivals bitcoin liquidations
下一篇:Bitcoin ETFs post first monthly inflows since October as price stabilizes
下一篇:Bitcoin ETFs post first monthly inflows since October as price stabilizes
相关内容
- ·Crypto rebounds as oil dips on Trump comments, but derivatives signal weak conviction
- ·Key benefits of Paper Trading for modern traders 129
- ·How Automated Crypto Trading improves daily trading workflows 961
- ·How Futures Trading supports long term strategy development 970
- ·Grayscale’s research head says tokenization will happen in waves and explains how to play it
- ·How to evaluate a platform for Trading Dashboard 968
- ·How Mobile Trading App supports long term strategy development 719
- ·Why Bot Performance matters in volatile markets 576
- ·Grayscale’s research head says tokenization will happen in waves and explains how to play it
- ·Common mistakes to avoid with Bot Performance 956
- ·Why Automated Crypto Trading matters in volatile markets 621
- ·Common mistakes to avoid with Risk Management 384
- ·Bitcoin traders keep chasing Trump’s Iran noise. The real signals are elsewhere.
- ·Beginner guide to Portfolio Automation
- ·What makes a strong solution for Multi Exchange Trading 946
- ·What traders should know about Order Management 597
最新内容
- ·Bitcoin, ether, solana slide further as Trump threatens to hit Iran 'extremely hard'
- ·Key benefits of Execution Speed for modern traders 198
- ·How Bot Performance supports long term strategy development 616
- ·What makes a strong solution for Multi Exchange Trading 226
- ·OpenAI raises a record $122 billion as revenue crosses $2 billion per month
- ·Beginner guide to Strategy Optimization 954
- ·Why Bot Performance matters in volatile markets
- ·How to evaluate a platform for Spot Trading 191
- ·The bitcoin treasury boom is unwinding as some companies and governments sell holdings
- ·How Algorithmic Trading supports smarter execution 892
推荐内容
热点内容
- ·Franklin Templeton launches crypto division with 250 Digital acquisition
- ·Beginner guide to Order Management 497
- ·Why Signal Execution matters in volatile markets 427
- ·How Bot Performance improves daily trading workflows 596
- ·Smart money is hedging bitcoin more aggressively than ether :Crypto Daybook Americas
- ·Why Futures Trading matters in volatile markets 690
- ·What makes a strong solution for Execution Speed 638
- ·How Paper Trading supports smarter execution 309
- ·Solana DeFi platform Drift confirms 'active attack' as $200M+ leaves platform
- ·How Market Analysis improves daily trading workflows
