Circle's Arc Mainnet Goes Live With USDC as Native Coin and 12-Institution Validator Set

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Circle launched the Arc blockchain public mainnet on 16 September 2026, an EVM-compatible layer-1 chain where USDC serves as the native gas coin. The network runs on a proof-of-authority model with twelve institutional validators including Circle, BlackRock, Visa, Mastercard, DTCC, and ICE. Arc uses a Malachite BFT consensus with a Reth-based client, producing blocks every half second with deterministic finality and a chain ID of 5042. A key technical detail for integrators is that the node tracks USDC balances in 18 decimals while the ERC-20 contract uses 6 decimals — the same balance expressed at scales a trillion apart. The chain also publishes the next block's base fee inside the current block header, effectively signalling gas costs before wallets or contracts need to query them.

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JD Logistics Builds Tech-Driven Supply Chain With 1,600 Warehouses and AI Automation

JD Logistics, listed on HKEX as stock 2618, originated from JD.com's in-house logistics arm in 2007 and became an independent entity in 2017. The company now operates an integrated supply chain network spanning warehousing, cold-chain, cross-border, and last-mile delivery services across China and beyond. As of end-2025, its infrastructure includes over 1,600 self-operated warehouses, 34 million square metres of floor space, 60,000 vehicles, and 12 cargo aircraft. The network's software and automation capabilities allow roughly 95% of JD.com's domestic first-party orders to be fulfilled within 24 hours. Beyond serving JD.com, the company is expanding its external customer base, with technology and data-driven decision-making increasingly central to its operations.

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How AI Can Turn Simple Ideas Into Print-Ready Children's Coloring Pages

A developer has shared a structured workflow for converting children's ideas or family photos into printable coloring pages using AI image generation tools. The process relies on carefully worded prompts that specify thick outlines, large open shapes, and no shading to ensure the output works with crayons and pencils rather than resembling a poster. For photo-based pages, the workflow simplifies images into clean contours while stripping out shadows, textures, and cluttered backgrounds. The author recommends printing a test page first and checking that outlines are dark, shapes are closed, and content suits the child's age group. The workflow has been built into a tool called AI Coloring Studio, which supports both text-to-image prompts and photo-to-line-art conversions.

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How Image Translation Works: OCR, AI, and the Challenge of Rebuilt Visuals

Translating text embedded in images is far more complex than translating web pages, requiring a multi-step pipeline combining text detection, optical character recognition (OCR), machine translation, and image reconstruction. The process begins with identifying bounding boxes around text regions, followed by converting those pixel clusters into readable characters — a step that struggles with blurry, rotated, or stylized text. Recognized text is then passed to a translation model, which uses surrounding context and automatic language detection to produce more natural results. The most technically demanding stage involves removing original text from the image and reinserting the translation in roughly the same position, accounting for font size, line wrapping, and the fact that translated text often differs significantly in length. This approach is particularly valuable for real-world use cases such as reading foreign menus, product labels, posters, and screenshots without losing the visual layout.

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Researcher Finds Degree-13 Recurrence in Letter-Sequence Operator, Limit Near π

A researcher developed a deterministic operator called EOA that converts spoken letter names into integer sequences using a fixed, rule-based process with no randomness or machine learning. Applying it under an encoding called English Modified #5 produced 20 distinct sequences, which split into two families sharing common algebraic properties. Over 600 terms of one sequence were generated, with the final term reaching 249 digits, and a Maple tool called gfun was used to identify a rational generating function of approximately degree 14. The sequence satisfies a degree-13 linear recurrence with constant coefficients, meaning it can be extended infinitely from its initial conditions. The limiting ratio of consecutive terms is algebraically close to π to five decimal places, but cannot equal π exactly since the limit is algebraic while π is transcendental — making the resemblance a numerical coincidence rather than a meaningful identity.

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