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Rohan Paul: The agent economy is taking over, with GitHub commits reaching 7.38 billion in September

Citing data, Rohan Paul said that GitHub recorded 7.38 billion commits in September 2026, more than five times the figure a year earlier. To handle the flood of agent-generated code, GitHub has added 4 million CPU cores, 160PB of high-speed storage, and 50Tb/s of network capacity this year. A traffic surge on August 17 caused a 7-hour-47-minute outage affecting authentication, Actions, pull requests, and Copilot, and GitHub is migrating to multi-region Azure deployments and refactoring Git to decouple storage from compute.

San Francisco AI venture capital data packaging: buying GitHub stars for 6 cents, annualizing two-week orders into full-year ARR

TMTPost AGI sorts through the data packaging tactics in the San Francisco AI venture capital circle, including multiplying a $3 million order from two weeks by 26 to claim externally about $80 million in ARR, startups mutually signing $5 million letters of intent, and buying GitHub stars at 6 cents each. The article also mentions that such practices likewise exist in the circles of large model labs and computing power centers, and cites industry insiders saying that the previous company that inflated $220 million in revenue by swapping invoices has already gone bankrupt.

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Li Jianshu and Wang Jian on AI and Mathematics: From an Excess of Answers to Two-Way Empowerment

ScienceNet reporters interviewed Li Jianshu, an academician of the Chinese Academy of Sciences, and Wang Jian, an academician of the Chinese Academy of Engineering, to discuss the controversies and directions surrounding AI's entry into mathematical research. The article mentions that in May of this year, Google DeepMind's AI agent solved 9 previously unsolved Erdős problems and tackled 44 open mathematical conjectures; OpenAI recently published 722 mathematical manuscripts generated by its internal AI models on GitHub; and 25 Fields Medalists, including Terence Tao and Deng Yu, jointly issued an open letter warning of a serious misalignment between AI and mathematics. Li Jianshu believes that AI may change the paradigm of mathematical research and points out that mathematics has done far from enough for AI; Wang Jian believes that AI's reasoning ability currently comes mainly from code, and that learning deeper reasoning from mathematical data will bring greater gains. The Institute for Advanced Study in Mathematics at Zhejiang University, where the two work, and Zhijiang Laboratory jointly launched the Future Mathematics Program, which focuses on four aspects: mathematical foundation models, formal verification, AI mathematical mechanisms, and interdisciplinary empowerment.

OpenAI Developer Lead Discusses How to Choose Between Sol, Astra, and dots After DevDay

Vaibhav Srivastav, OpenAI's Head of Developer Experience and Community, said in an interview that GPT-6.1 Sol can achieve about 95% of the performance of GPT-6 Astra at only one-fifth the cost, and that he himself mainly uses Sol in his daily work. He recommends using Astra for adversarial review on new projects or unfamiliar problems, and said the Ultrafast tier targets real-time scenarios such as fraud detection and financial investigations, with speeds exceeding 300 tokens per second. He also described how the always-on agent OpenAI dots aggregates information from Slack, GitHub, Gmail, and calendars and handles PRs on users' behalf, as well as how Auto-review checks model actions against custom policies before they are taken.

Microsoft CEO Satya Nadella's 2026 Annual Letter to Shareholders: Mapping Token Costs to Business Outcomes, Building a Frontier Ecosystem

In his 2026 annual letter to shareholders, Microsoft CEO Satya Nadella proposed building a frontier ecosystem and introduced cost-to-outcome—the business results obtained per unit of token spend—as a new optimization metric. In fiscal year 2026, Microsoft's revenue reached $331.8 billion, up 18% year over year; Azure grew 41%, surpassing $100 billion for the first time; M365 Copilot paid seats exceeded 30 million, and GitHub Copilot users reached 50 million. The letter states that interaction is shifting from synchronous chat to asynchronous agents, with the harness separated from the model; Foundry offers more than 11,000 models and has over 100,000 customers, and Microsoft Frontier Co. was established, deploying 6,000 experts on-site.

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An unreleased OpenAI model produced 722 mathematics manuscripts overnight, prompting a joint criticism from 25 Fields Medalists

OpenAI published the openai/math repository on GitHub, disclosing 722 mathematics manuscripts and 372 result groups in one go, all produced by an undisclosed internal model, covering results such as a quasi-Riemann hypothesis, reducing the exponent of matrix multiplication over the complex field to 2.25, and a four-dimensional version of the Kakeya conjecture. The authors state that each result cost on average about 3 hours of ChatGPT Pro-level compute, whereas the September attack on the Navier–Stokes equations deployed roughly 10,000 agents, ran for 88 hours, and cost millions of dollars. 25 Fields Medalists signed a joint letter titled "The Serious Misalignment of AI in Mathematics," criticizing AI companies for treating problem-solving as a marketing tool, and the advisory group of the Institute for Advanced Study in Princeton demanded that such practices stop.

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