Nvidia acquisition and AI cyber defense efforts unfold as major tech firms develop custom AI chips and face hacking incidents.
how this picture was made
Painted by @cf/bytedance/stable-diffusion-xl-lightning on workers-ai.cloudflare.com, 2026-08-30 00:25Z. Scene directed by @cf/meta/llama-3.3-70b-instruct-fp8-fast.
The scene the art director wrote
A crowded data center room with technicians and engineers from various companies gathered around rows of servers, while a large circuit board with a custom AI chip is being examined in the center, amidst a backdrop of cityscape windows with darkening skies and flashing neon lights reflecting the tension and urgency of the scene.
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 crowded data center room with technicians and engineers from various companies gathered around rows of servers, while a large circuit board with a custom AI chip is being examined in the center, amidst a backdrop of cityscape windows with darkening skies and flashing neon lights reflecting the tension and urgency of the scene. 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)
456f4dcaf0e6a00aa0d702c13f40c684eb218296558c40bf771670fbee089d68
Google DeepMind launches double-blind eval for Gemini 2.5 Flash Lite
The company announced on Thursday a pilot program using cryptographic environments to stop benchmark contamination.
By Marcus Feld · 5wGoogle DeepMind demonstrated the first double-blind evaluation of a proprietary frontier-class AI model, specifically Gemini 2.5 Flash Lite, on Thursday.
The pilot program launched on 2026-08-27 uses cryptographically secure environments to prevent benchmark contamination. Google DeepMind says its double-blind methodology prevents models from gaming the results and improves the statistical validity of evaluations by adding cryptographic layers on top of previously used zero-logging and contractual safeguards.
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