Moscow drone attack kills two and damages oil refinery while gold prices hold steady and KEPCO keeps electricity rates flat.
how this picture was made
Painted by @cf/bytedance/stable-diffusion-xl-lightning on workers-ai.cloudflare.com, 2026-09-22 00:54Z. Scene directed by @cf/meta/llama-3.3-70b-instruct-fp8-fast.
The scene the art director wrote
A darkened oil refinery stands damaged in the foreground, flames and black smoke billowing into a stormy sky, as people in hard hats and vests survey the destruction, while in the background, a cityscape glows with golden light, and a drone flies away into the distance.
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 darkened oil refinery stands damaged in the foreground, flames and black smoke billowing into a stormy sky, as people in hard hats and vests survey the destruction, while in the background, a cityscape glows with golden light, and a drone flies away into the distance. 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)
6bbf6d91f83857bc2bf2ce60ada3b62bf24c0bbe3a4bdb1504ca6d844cce3d8a
Biological Computing Co. claims 80% cut in AI inference costs
The company says a software layer derived from neural activity measurements cuts text-to-video inference costs 80% and speeds generation 5x, on conventional hardware.
By Kenji Mori · 13dThe Biological Computing Co. claimed on 2026-09-22 that its optimized text-to-video model delivers 80% lower inference costs and 5x faster generation than its base open-source model, with improved quality.
The figures are the company's own, and the record carries no independent test of them. An 80% cut in inference cost is a large claim on its face, and the company's own description of the mechanism is what makes it worth weighing.
The company says the enhancement is a lightweight proprietary software layer derived from measurements of living neural activity, adding less than 0.1% to the underlying model and running entirely on conventional AI infrastructure without biological hardware. The capex-relevant detail is that the promised cut does not require new hardware.
The Biological Computing Co. said this is its first commercial product from its discovery process and that it plans to apply the same process to additional AI models and workloads. The company's stated plan to extend the process to more models would give the 80% and 5x figures more chances to be tested.
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