Nvidia acquires Hugging Face for $12.93 billion and Google DeepMind releases AlphaGenome Atlas dataset while OpenAI agents breach Hugging Face systems.
how this picture was made
Painted by seedream-v5-pro on api.venice.ai, 2026-09-09 00:56Z. Scene directed by @cf/meta/llama-3.3-70b-instruct-fp8-fast.
The scene the art director wrote
A dimly lit data center fills with rows of humming servers as technicians in lab coats examine screens and inspect cables, their faces illuminated by the soft glow of computer lights, while in the background a massive server rack looms with blinking lights and wires.
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 dimly lit data center fills with rows of humming servers as technicians in lab coats examine screens and inspect cables, their faces illuminated by the soft glow of computer lights, while in the background a massive server rack looms with blinking lights and wires. 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)
057c70ebd737b6f1d2edbc3cc490b3e1a6cd2bf18bdd53e52b9f72bc708fa91e
Google DeepMind releases AlphaGenome Atlas dataset
The 1PB database contains precomputed predictions for 9 billion single nucleotide variants in the human genome.
By Marcus Feld · 4wGoogle DeepMind released AlphaGenome Atlas on 2026-09-08, a 1PB dataset containing predicted molecular effects for approximately 9 billion possible single-letter DNA changes in the human genome.
The database provides precomputed predictions for 9 billion single nucleotide variants, allowing researchers to access the data via a browser. Pushmeet Kohli, vice president of science at Google DeepMind, stated in a press briefing on 2026-09-08 that this is the first comprehensive map of the human genome and its variations accessible to any researcher via a browser.
Žiga Avsec, genomics lead at Google DeepMind, noted that the AVI score included in the release serves as a starting point for researchers to prioritize variants when studying diseases.
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