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  4. OpenAI releases GPT-Image-2.6 with GIF and SVG
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Models & Releases

OpenAI releases GPT-Image-2.6 with GIF and SVG

MarkTechPost: OpenAI Launches GPT-Image-2.6 Flare and Sunburst: Adds GIFs, SVG Export and 6-Second API Generation

OpenAI just shipped Images 2.6 across ChatGPT, Codex and the API. For developers, the core release is GPT-Image-2.6, shipped as two API models: Flare and Sunburst. OpenAI team states that Images 2.6 generates images 50% faster than before. The update also adds GIF output, SVG export, markup-guided edits and a new complexity parameter. TL;DR Size: Closed weights, token-billed image API. Runs on: OpenAI-hosted only (ChatGPT, Codex, API). Performance: 50% faster image generation than

Get smart on it

OpenAI released GPT-Image-2.6, an image generation and editing model available through its API and ChatGPT, offered in two versions: Flare for fast iteration and Sunburst for detailed work. The update generates images 50 percent faster than the previous release and adds new capabilities including GIF output, SVG export, and a complexity parameter that controls how much the model plans before rendering without additional cost. ChatGPT users can now create animated GIFs from prompts or photos and save reference images for reuse, while the API supports markup-guided edits for precise region selection. Image generation usage has grown significantly, with more than 4 billion images generated per week across ChatGPT and the API.

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Why a new report on Anthropic automating AI development is alarming researchers

Anthropic CEO Dario Amodei. | Photo: Jason Henry/Bloomberg via Getty Images Anthropic is using AI to build more powerful AI. And it appears to be working remarkably well, with the company's models improving roughly twice as quickly as a year ago, with little indication of slowing down. That's according to a new report published Thursday by the AI safety research organization METR, following an 11-week investigation inside the company, as part of a report evaluating its AI resear

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Nous Research Releases Arete-27B that Cuts Qwen3.8-27B Propaganda From 22% to 0.9%

Nous Research has released Arete-27B, a supervised fine-tune of Alibaba’s Qwen3.8-27B. Arete-27B is a 27B open-weight model that strips Chinese state framing from Qwen’s answers. On Nous’s own 803-prompt eval, answers containing propaganda fell from 22% to 0.9%. Developers get Qwen-class agentic skill without state-aligned answers. The weights, eval and training data are all public. TL;DR Size: 27B dense parameters (all active). Trained at 64k context. Base Qwen3.8-27B

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Google Releases Gemini Omni 1.2 Flash: 15-Second AI Video at $0.07 per Second

Google has released Gemini Omni 1.2 Flash, the newest version of its video generation and editing model. Gemini Omni 1.2 Flash generates and edits clips up to 15 seconds natively. It also cuts the price by 30% compared with Omni 1.1 Flash. The model is generally available on Google Cloud and the Gemini API. For developers, the takeaways are longer clips, fewer re-renders and a lower bill per second. TL;DR Runs on: Google-hosted only (Gemini API, Google Cloud). No open weights, no local d

Also reported by Google DeepMind

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GPT‑6 Cyber: Advancing the frontier of aligned cybersecurity agents

Introducing GPT‑6 Cyber, OpenAI’s cybersecurity model for finding exploitable vulnerabilities and developing fixes, trained to stay within authorized scope.

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Tencent releases Hy4, powerful frontier LLM introducing visual understanding and computer use

Tencent Holdings Ltd. today introduced Hy4, a new large language model that adds computer-use capabilities for the first time, using advanced visual understanding, reasoning and tool-calling to deliver long-horizon agentic performance. The company said the model marks a significant leap in performance over its Hy4 Preview, which arrived August 28, weighing in at 770 billion parameters with 49 […] The post Tencent releases Hy4, powerful frontier LLM introducing visual understanding and comp

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Thinking Machines Releases Inkling 2 Small, a 594B MoE With 17B Active

Thinking Machines Lab has released Inkling 2 Small, the first model of its second Inkling generation. The Inkling 2 Small model is a sparse Mixture-of-Experts (MoE) with 594B total and 17B active parameters. It accepts text and images, and supports variable reasoning effort. On the Artificial Analysis Intelligence Index, it scores 31. Its predecessor, Inkling Small, scores 13 on the same index. The model is live on Tinker for fine-tuning and inference. TL;DR Size: 594B total, 17B active

Also reported by SiliconANGLE