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Wednesday

  1. Story2 reports · 1 facts

    Ethan Mollick says he had Opus 5.5 generate an otter video

    Ethan Mollick said he had Opus 5.5 generate a video using the prompt he uses when testing all AI image generation models, "an otter using wifi on a plane." The account appears in his article reviewing the exponential development of AI over the past 30 months. During the same period, on the day his new book Co-Existence was released, Mollick used charts to review the AI progress in the 30 months since the release of his previous book Co-Intelligence, and said the charts in that article were completed by Opus 5.5 in Claude Projects orchestrating multiple agents. Currently there is evidence showing that this video generation action occurred in the above-mentioned review context, with no subsequent developments yet.

    Ethan Mollick said he had Opus 5.5 generate a video using the prompt he uses when testing all AI image generation models, "an otter using wifi on a plane." The account appears in his article reviewing the exponential development of AI over the past 30 months. During the same period, on the day his new book Co-Existence was released, Mollick used charts to review the AI progress in the 30 months since the release of his previous book Co-Intelligence, and said the charts in that article were compl

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Sunday

  1. Story1 reports · 1 facts

    n8n blog introduces running AI workflows locally on DGX Spark

    On October 19, 2026, the n8n blog published a tutorial on how to deploy a complete model stack locally on a single NVIDIA DGX Spark, enabling n8n workflows to handle transcription, OCR, document Q&A, and image generation without calling cloud APIs. The tutorial states that the entire stack exposes an OpenAI-compatible endpoint through LiteLLM, with the main model being the NVFP4 version of Qwen3.6-35B-A3B, achieving a generation speed of 120 tokens/s for a single user and 359 tokens/s combined for eight users. The author's hands-on testing found that image generation reduces conversation speed to about one-third, and recommends that small teams queue image tasks or schedule them outside working hours. Currently, this content has only the n8n blog as its source.

    On October 19, 2026, the n8n blog published a tutorial on how to deploy a complete model stack locally on a single NVIDIA DGX Spark, enabling n8n workflows to handle transcription, OCR, document Q&A, and image generation without calling cloud APIs. The tutorial states that the entire stack exposes an OpenAI-compatible endpoint through LiteLLM, with the main model being the NVFP4 version of Qwen3.6-35B-A3B, achieving a generation speed of 120 tokens/s for a single user and 359 tokens/s combined f

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Wednesday

Sunday

  3. Story6 reports · 3 facts

    Google releases image model Nano Banana 2.1

    Google has released Nano Banana 2.1, an image generation and editing model that replaces Nano Banana 2, released in February 2026. According to The Decoder, the company says the new model improves on every front and costs about half as much as its predecessor: 1K images drop from 6.70 cents to 3.36 cents, and 4K from 15.10 cents to 7.56 cents. The model is based on Gemini 3.6 Flash and supports 1K, 2K, and 4K resolutions, can process up to 14 reference images at once while keeping 4 characters and 10 objects consistent, and is being rolled out across the Gemini app, AI Mode in Google Search, Google AI Studio, Flow, Stitch, Google Ads, and the Gemini enterprise platform; the older model gemini-3.1-flash-image will be retired on October 29, 2026. On October 7, Krea announced that Nano Banana 2.1 was live, saying it understands prompts better, edits more sharply, and keeps subjects more consistent, with generation support up to 4K. On October 9, an Artificial Analysis evaluation showed that the model ranks three places higher than Nano Banana 2 on the quality-versus-price frontier, at only half the price.

    Google has released Nano Banana 2.1, an image generation and editing model that replaces Nano Banana 2, released in February 2026. According to The Decoder, the company says the new model improves on every front and costs about half as much as its predecessor: 1K images drop from 6.70 cents to 3.36 cents, and 4K from 15.10 cents to 7.56 cents. The model is based on Gemini 3.6 Flash and supports 1K, 2K, and 4K resolutions, can process up to 14 reference images at once while keeping 4 characters a

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  9. Story9 reports · 2 facts

    Qwen-Image-2.1 supports ComfyUI

    On September 20, 2026, the Qwen team open-sourced the Qwen-Image-2.1 image model, unifying text-to-image and image editing into a single model that supports a variety of image editing tasks. According to the official introduction, the model's visual generation component is a 7B-parameter, 32-layer Single-Stream DiT that natively supports transparent image generation and editing, supports up to 10 reference images as well as local editing methods such as circling and masking, and reduces inference overhead and VRAM usage during multi-image editing through mixed-granularity attention and KV cache reuse; the model weights have been released on GitHub, Hugging Face, and ModelScope. On the same day, Qwen announced that Qwen-Image-2.1 is natively supported in ComfyUI; users can update ComfyUI or use Comfy Cloud, download the weights from Hugging Face, and load the template to use it.

    On September 20, 2026, the Qwen team open-sourced the Qwen-Image-2.1 image model, unifying text-to-image and image editing into a single model that supports a variety of image editing tasks. According to the official introduction, the model's visual generation component is a 7B-parameter, 32-layer Single-Stream DiT that natively supports transparent image generation and editing, supports up to 10 reference images as well as local editing methods such as circling and masking, and reduces inferenc

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Monday

Friday

  1. FactRelated story

    English translation is being prepared.

    Google has released Nano Banana 2.1, an image generation and editing model that replaces Nano Banana 2, released in February 2026. According to The Decoder, the company says the new model improves on every front and costs about half as much as its predecessor: 1K images drop from 6.70 cents to 3.36 cents, and 4K from 15.10 cents to 7.56 cents. The model is based on Gemini 3.6 Flash and supports 1K, 2K, and 4K resolutions, can process up to 14 reference images at once while keeping 4 characters and 10 objects consistent, and is being rolled out across the Gemini app, AI Mode in Google Search, Google AI Studio, Flow, Stitch, Google Ads, and the Gemini enterprise platform; the older model gemini-3.1-flash-image will be retired on October 29, 2026. On October 7, Krea announced that Nano Banana 2.1 was live, saying it understands prompts better, edits more sharply, and keeps subjects more consistent, with generation support up to 4K. On October 9, an Artificial Analysis evaluation showed that the model ranks three places higher than Nano Banana 2 on the quality-versus-price frontier, at only half the price.

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    View story:Google releases image model Nano Banana 2.1

Wednesday

  1. FactRelated story

    English translation is being prepared.

    Google has released Nano Banana 2.1, an image generation and editing model that replaces Nano Banana 2, released in February 2026. According to The Decoder, the company says the new model improves on every front and costs about half as much as its predecessor: 1K images drop from 6.70 cents to 3.36 cents, and 4K from 15.10 cents to 7.56 cents. The model is based on Gemini 3.6 Flash and supports 1K, 2K, and 4K resolutions, can process up to 14 reference images at once while keeping 4 characters and 10 objects consistent, and is being rolled out across the Gemini app, AI Mode in Google Search, Google AI Studio, Flow, Stitch, Google Ads, and the Gemini enterprise platform; the older model gemini-3.1-flash-image will be retired on October 29, 2026. On October 7, Krea announced that Nano Banana 2.1 was live, saying it understands prompts better, edits more sharply, and keeps subjects more consistent, with generation support up to 4K. On October 9, an Artificial Analysis evaluation showed that the model ranks three places higher than Nano Banana 2 on the quality-versus-price frontier, at only half the price.

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    View story:Google releases image model Nano Banana 2.1

Tuesday

Tuesday