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Thursday

  1. Rohan Paul

    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.

    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 de

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Friday

  1. TMTPost · AGI

    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.

    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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Friday

Friday

  1. Story1 reports · 0 facts

    DeepSeek open-sources the inference engine DeepInfer on GitHub

    On October 29, 2026, DeepSeek open-sourced the inference engine DeepInfer on GitHub; this engine is the inference engine behind DeepSeek-V4.1-Flash. Leiphone reported the same day that DeepInfer includes technologies such as MoE expert parallelism, asynchronous batch scheduling, custom kernels, and speculative decoding, and disclosed that a single cluster needs to process approximately 155 trillion tokens per day. Its Zero-Overhead Batch Scheduler lets the CPU schedule computation one round in advance, overlapping with GPU forward passes, and handles cross-round state misalignment through total_inflight_tokens accounting, Remap mapping, and DeferredRelease deferred reclamation. Currently, only offline inference capabilities are open; components such as online KV Cache storage and cross-replica load balancing have not yet been fully disclosed, and the official team has not separately published end-to-end speedup data for this scheduling mechanism relative to synchronous solutions.

    On October 29, 2026, DeepSeek open-sourced the inference engine DeepInfer on GitHub; this engine is the inference engine behind DeepSeek-V4.1-Flash. Leiphone reported the same day that DeepInfer includes technologies such as MoE expert parallelism, asynchronous batch scheduling, custom kernels, and speculative decoding, and disclosed that a single cluster needs to process approximately 155 trillion tokens per day. Its Zero-Overhead Batch Scheduler lets the CPU schedule computation one round in a

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