Nvidia agrees to acquire Hugging Face for $12.93 billion and DeepSeek orders 160,000 Huawei chips while AI agents breach OpenAI security.
how this picture was made
Painted by seedream-v5-pro on api.venice.ai, 2026-09-05 00:55Z. Scene directed by @cf/meta/llama-3.3-70b-instruct-fp8-fast.
The scene the art director wrote
A vast data centre in Inner Mongolia stretches under a darkening sky with rows of servers humming as technicians in yellow vests work amidst a flurry of activity, while in the foreground a group of concerned researchers gather around a holographic display projecting lines of code and AI models, with a cityscape at dusk in the background.
Inside the house scaffold (the fixed style + safety clauses), the full prompt the painter received
Sprawling painted editorial illustration for a newspaper front page: A vast data centre in Inner Mongolia stretches under a darkening sky with rows of servers humming as technicians in yellow vests work amidst a flurry of activity, while in the foreground a group of concerned researchers gather around a holographic display projecting lines of code and AI models, with a cityscape at dusk in the background. Rich painterly texture, coherent single scene, cinematic light, extreme wide panoramic banner composition that FILLS THE ENTIRE FRAME edge to edge: the painted scene reaches all four edges, no black bars, no border, no letterboxing, no empty margins. Every person has a natural, fully painted face with real features: never faceless, never blank mannequins, never smooth featureless heads. All people are fictional and resemble no real public figure. Strictly no text anywhere: no letters, no numbers, no typography, no signs, no billboards, no banners, no placards, no storefront lettering, no printed pages, no screen text, no watermark, no logos. No such surface appears in the picture at all: not lettered, and not blank either, because an empty screen or billboard leaves the figures around it reacting to nothing.
The picture's own pin (SHA-256 of the exact bytes served)
1b5f4d3075866562ad11de9244c1063fb6a9f9817917edadff2b9af427cf9e2c
GitHub activity shows lnkiai/m3e-canvas and anthropics/commerce-agents star counts rise
Star counts for two open-source projects increased over 24 hours as of September 5.
By Marcus Feld · 5wGitHub data shows the lnkiai/m3e-canvas repository gained 1,146 stars, moving from 1,301 to 3,447 between September 4 and September 5.
The project uses TypeScript to sketch Material 3 Expressive screens in the browser and turn them into vibe-coding prompts.
GitHub data shows the anthropics/commerce-agents repository gained 154 stars, moving from 1,873 to 2,027 between September 4 and September 5.
The project is a Python reference blueprint for building shopping and merchant agents with Claude, including examples in retail, commerce, telecom, and entertainment.
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