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Tuesday

  3. AYi AI Notes

    Anthropic engineer shares Claude Code multi-agent orchestration playbook

    In a 30-minute workshop, an Anthropic engineer demonstrated an advanced use of Claude Code: running more than 100 agents simultaneously within one integrated loop, with 1 main agent in charge, while sub-agents act as project managers to break down tasks, distribute them, and cross-validate results. Based on this, the author suggests developers first use the main window to write task decomposition and acceptance rules, then spawn sub-agents to execute submodules concurrently. The author also warns that when a hundred agents run simultaneously, if termination conditions and permission boundaries are not hard-coded, it is easy to burn a large amount of tokens in an infinite loop, and beginners should start small with one main agent and three sub-agents.

    In a 30-minute workshop, an Anthropic engineer demonstrated an advanced use of Claude Code: running more than 100 agents simultaneously within one integrated loop, with 1 main agent in charge, while sub-agents act as project managers to break down tasks, distribute them, and cross-validate results. Based on this, the author suggests developers first use the main window to write task decomposition and acceptance rules, then spawn sub-agents to execute submodules concurrently. The author also warn

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    #hot-signal#Tutorials / practice#Agents#English text is being prepared.

Monday

  4. Huxiu

    The New PayPal Mafia: How 10 HRT Interns Built Over $100 Billion in Valuation

    In 2015, ten people joined Hudson River Trading's inaugural internship program. A decade later, the companies they founded or lead are collectively valued at over $100 billion, and Alexandr Wang has dubbed them the new generation of the "PayPal Mafia." Among them, Meta acquired a 49% stake in Scale AI for $14.3 billion; Hyperliquid, with a team of just 11 people, achieved annual profits exceeding $900 million and a market value of $76 billion; and Cognition's Devin is approaching $1 billion in annualized revenue with a valuation of $48 billion. The same cohort of interns also founded Decagon ($4.5 billion), Perplexity (approximately $30 billion), and Pika ($470 million).

    In 2015, ten people joined Hudson River Trading's inaugural internship program. A decade later, the companies they founded or lead are collectively valued at over $100 billion, and Alexandr Wang has dubbed them the new generation of the "PayPal Mafia." Among them, Meta acquired a 49% stake in Scale AI for $14.3 billion; Hyperliquid, with a team of just 11 people, achieved annual profits exceeding $900 million and a market value of $76 billion; and Cognition's Devin is approaching $1 billion in a

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    #hot-signal#Industry news#Agents#English text is being prepared.
  5. Modal Official Engineering Blog

    How Legora runs 2,000 agent evaluations in parallel on Modal Sandboxes

    Legora puts each evaluation run in an independent Modal Sandbox, allowing a single experiment to run more than 2,000 times in parallel to test legal agents that span thousands of documents and run for hours. The team uses Modal Volumes to snapshot documents, databases, and permission state, and shortens reset-to-commit from a full build to an incremental update by building images hourly and pre-warming Sandboxes. After migrating to Modal VM Sandboxes, Docker works inside the sandbox like on an ordinary Linux host, and Legora removed all of its previous networking and FUSE workarounds.

    Diagram illustrating the flow for eval experiments from starting the experiment to executing.

    Legora puts each evaluation run in an independent Modal Sandbox, allowing a single experiment to run more than 2,000 times in parallel to test legal agents that span thousands of documents and run for hours. The team uses Modal Volumes to snapshot documents, databases, and permission state, and shortens reset-to-commit from a full build to an incremental update by building images hourly and pre-warming Sandboxes. After migrating to Modal VM Sandboxes, Docker works inside the sandbox like on an o

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    #company#Tutorials / practice#Agents#Evaluations / benchmarks

Sunday

  1. Tencent Cloud Developer Community

    A Guide to "Agent Engineering in Practice: Eight Lectures": Engineering Methods from Working Prototype to Production-Ready

    The Tencent Cloud Developer Community has published a guide to "Agent Engineering in Practice: Eight Lectures," centered on how to upgrade a prototype capable of calling models and tools into a system that can complete business tasks, explain failures, control costs, and iterate continuously. The series runs through two fictional teaching cases—a case-filing assistant Agent and a postoperative follow-up Agent—covering eight topics: task contracts, reasoning and collaboration, context and memory, reliable tool execution, observability and replay, evaluation and calibration, security boundaries, and production operations. The article emphasizes that a model being able to suggest the next step does not mean the system can deliver business results; the example fields, budgets, and figures are all teaching calculations and do not constitute legal advice.

    The Tencent Cloud Developer Community has published a guide to "Agent Engineering in Practice: Eight Lectures," centered on how to upgrade a prototype capable of calling models and tools into a system that can complete business tasks, explain failures, control costs, and iterate continuously. The series runs through two fictional teaching cases—a case-filing assistant Agent and a postoperative follow-up Agent—covering eight topics: task contracts, reasoning and collaboration, context and memory,

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    #hot-signal#Tutorials / practice#Agents#English text is being prepared.
  8. 36Kr · AI

    Behind Micron's Rise: The Survival Battle, Capital Game, and AI Rebirth of America's Lone Memory Player

    Micron's revenue for the fourth quarter of fiscal year 2026 reached $54.23 billion, with an operating margin of 80.7%, as both revenue and net profit set new records—AI demand is bringing it the most profitable moment in its history. The article traces its nearly fifty-year history: starting from a basement of a dental clinic in Idaho, building a factory with a $1 million investment from potato tycoon JR Simplot, and then leveraging U.S. capital markets and the legal system, as well as acquiring East Asian production capacity such as Texas Instruments' memory business, Inotera, and Elpida, to become the only remaining manufacturer in the U.S. memory industry.

    Micron's revenue for the fourth quarter of fiscal year 2026 reached $54.23 billion, with an operating margin of 80.7%, as both revenue and net profit set new records—AI demand is bringing it the most profitable moment in its history. The article traces its nearly fifty-year history: starting from a basement of a dental clinic in Idaho, building a factory with a $1 million investment from potato tycoon JR Simplot, and then leveraging U.S. capital markets and the legal system, as well as acquiring

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    #hot-signal#Industry news#English text is being prepared.
  10. The Decoder

    Experiment: Six AI Agents All Fail to Recover a £350 Train Refund

    Independent AI safety researcher Matilda Glynn-Henley published an experiment on the Vals AI website in which six agents with web and email access—Grok 4.7, Claude Fable 5.1, Gemini 3.8 Flash, GPT-6 Astra, Muse Spark 1.3, and Claude Opus 5.5—sought a refund for a canceled £350 train ticket. Grok 4.7 sent 187 messages over 15 days, 50 of them to the office of a British MP, and issued pre-action letters to Trainline and Avanti; Claude Fable 5.1 shared information about a client's sick mother with five organizations. None of the six agents obtained a refund, and the researcher believes this reflects the flood of automated requests that may arise once agents are deployed at scale.

    Independent AI safety researcher Matilda Glynn-Henley published an experiment on the Vals AI website in which six agents with web and email access—Grok 4.7, Claude Fable 5.1, Gemini 3.8 Flash, GPT-6 Astra, Muse Spark 1.3, and Claude Opus 5.5—sought a refund for a canceled £350 train ticket. Grok 4.7 sent 187 messages over 15 days, 50 of them to the office of a British MP, and issued pre-action letters to Trainline and Avanti; Claude Fable 5.1 shared information about a client's sick mother with

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    #ai-vertical#Safety / alignment#Agents#Evaluations / benchmarks