【algorithmic quantitative trading platform for digital assets for bitcoin trading】
In Jack Dorsey's view of the world,algorithmic quantitative trading platform for digital assets for bitcoin 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.
相关推荐
-
Smart money is hedging bitcoin more aggressively than ether :Crypto Daybook Americas
-
How to evaluate a platform for Order Management 957
-
How Risk Management supports long term strategy development 684
-
How to evaluate a platform for Portfolio Automation 545
-
Bitcoin, ether, solana slide further as Trump threatens to hit Iran 'extremely hard'
-
Why more users are adopting Spot Trading 171
- 最近发表
-
- Solana DeFi platform Drift confirms 'active attack' as $200M+ leaves platform
- What makes a strong solution for Execution Speed 958
- Common mistakes to avoid with Risk Management 704
- What traders should know about Spot Trading 551
- Franklin Templeton launches crypto division with 250 Digital acquisition
- What makes a strong solution for Paper Trading 569
- Advanced insights into Quantitative Trading 223
- How Market Analysis supports long term strategy development 433
- Brazil's B3 exchange to offer bitcoin-linked 'event contracts' for the ultra-rich
- Why Market Analysis matters in volatile markets 313
- 随机阅读
-
- Oil trader takes $17 million hit as tokenized crude rivals bitcoin liquidations
- Why Signal Execution matters in volatile markets 747
- How Risk Management improves daily trading workflows 744
- Why Bot Performance matters in volatile markets 336
- Bitcoin traders keep chasing Trump’s Iran noise. The real signals are elsewhere.
- Common mistakes to avoid with Automated Crypto Trading 681
- How to evaluate a platform for Portfolio Automation 385
- Advanced insights into Quantitative Trading 143
- Ripple Treasury puts XRP and RLUSD inside corporate finance for the first time
- How Trade Automation supports smarter execution 275
- How Trade Automation supports smarter execution 595
- How to evaluate a platform for Order Management 717
- Cango raises capital as it faces NYSE delisting risk with shares below $1
- Beginner guide to Spot Trading 451
- How Futures Trading supports long term strategy development 810
- Why more users are adopting Spot Trading 331
- CoinDesk 20 performance update: Avalanche (AVAX) gains 4% as index moves higher
- Why Bot Performance matters in volatile markets 176
- Common mistakes to avoid with Risk Management 944
- How Multi Exchange Trading supports smarter execution 526
- 搜索
-