Black Forest Labs 发布 Flux 3 Image,支持多步骤局部编辑
Black Forest Labs 发布 Flux 3 模型家族的图像模型 Flux 3 Image,称可在多步骤编辑时不改动图像其他部分,覆盖文生图、图生图、文字渲染和照片级写实。
Black Forest Labs 发布 Flux 3 模型家族的图像模型 Flux 3 Image,称可在多步骤编辑时不改动图像其他部分,覆盖文生图、图生图、文字渲染和照片级写实。
Black Forest Labs 于 10 月 2 日发布图像生成模型 FLUX 3 Image,支持最高 4K 分辨率生成。模型基于 FLUX 3 基座,可在 0–1000 坐标网格上为元素指定 ID、描述和边界框实现精准排布,单次最多融入 10 张参考图像,并支持保持其他像素不变的指定区域编辑。目前为付费服务,开放模型版本将在数周内公开。
Half a million downloads in a month. Today, our open source family takes another step forward. Thank you for the incredible support behind our first-generation models. We’re excited to introduce TwIL-LM3-Pro. At just 3.6 billion parameters, it brings powerful reasoning to everyday computers, with quantized builds that run locally. No cloud required. In our evaluation: Formal logic: Highest recorded headline score among the small models compared—beating China’s VibeThinker-3B by 35% and Qwen3.5-4B by 24%, and Liquid AI’s LFM2.5-8B-A1B by 47%. Broader reasoning: 95% on SVAMP and 64.1% on MuSR, the highest recorded scores among the small models compared. BIG-Bench Hard’s logic subset: 95.4%, compared with VibeThinker-3B’s 61.1%. We believe AI is entering a post-training era. The advantage will increasingly belong to companies with the best pipelines and those that can produce capable, personalized intelligence faster and more efficiently, then put it on devices people already own. That’s what we’re building at webAI. And we’re only beginning to share what’s coming out of our lab. Coming soon: Meridian, our family of frontier-class models built to run on device. Our most advanced models will be available through the @thewebAI application. Join the waitlist as we expand access. Proudly built in Austin, Texas. 🇺🇸
Cloudflare 推出基于 Qwen 的开源多模态决策模型 Clef,含 Clef 与 Clef-flash 两款,分别基于 Qwen3.8-27B 和 Qwen3.5-9B。
Cloudflare 发布两个自研决策模型 Clef 和 Clef-flash,托管在 Workers AI 并以 Apache 2.0 许可开源到 Hugging Face,与 Jev-API 完全兼容。
微软于 10 月 1 日推出首个实时流式语音转写模型 MAI-Transcribe-2-Streaming,可在讲话进行时持续输出文字,支持 60 种语言和自动语言检测。
Google(Alphabet)发布新模型 Gemini 4 Argon,主打防御性网络安全,称其可自主发现、验证并修复关键软件漏洞,目前仅通过 Fairwind 安全计划向部分网络安全合作伙伴开放。该模型也用于编码、调试和代码库迁移等日常工程工作,并称在多项基准上显著领先 GPT-6 Astra 与 Anthropic 的 Fable 和 Opus。
推荐理由:原文给出三大新模型组合在 Coding Agent Index 的得分与单任务成本对比,读者可以据此在性能和价格之间做选型权衡。
OpenAI 发布 GPT-6 Astra Ultrafast,运行在 NVIDIA Blackwell GPU 上,现已在 OpenAI API 及符合条件的 ChatGPT Work 和 Codex 用户中可用。
推荐理由:原文给出 Ultrafast 模式相对 Astra Standard 的加速幅度和适用场景,开发者可据此评估 coding agent 工作流的收益。
推荐理由:独立评测方自托管实测两个图像榜单排名,并对比上一代和同类开源模型,读者可了解其在开源阵营中的位置。
Introducing FLUX 3 Image. Control every pixel. Make precise multi-turn edits without changing any other pixel. Lay out the image exactly how you want using bounding boxes. Generate in up to 4K to preserve details. Use up to 10 references to compose an image. Commercial Weights available for companies running image generation at scale. Open Weights version of FLUX 3 Image is launching in the coming weeks.
推荐理由:原文给出 FLUX 3 Image 的多轮编辑、边界框布局和 4K 输出等具体能力,并说明已上线 OpenRouter。
🚨 Fable 5.5 is auto routing on web , this is the screenshot it edited for x without even prompted he knows tibo check https://claude.ai see if you are getting routed or not
Half a million downloads in a month. Today, our open source family takes another step forward. Thank you for the incredible support behind our first-generation models. We’re excited to introduce TwIL-LM3-Pro. At just 3.6 billion parameters, it brings powerful reasoning to everyday computers, with quantized builds that run locally. No cloud required. In our evaluation: Formal logic: Highest recorded headline score among the small models compared—beating China’s VibeThinker-3B by 35% and Qwen3.5-4B by 24%, and Liquid AI’s LFM2.5-8B-A1B by 47%. Broader reasoning: 95% on SVAMP and 64.1% on MuSR, the highest recorded scores among the small models compared. BIG-Bench Hard’s logic subset: 95.4%, compared with VibeThinker-3B’s 61.1%. We believe AI is entering a post-training era. The advantage will increasingly belong to companies with the best pipelines and those that can produce capable, personalized intelligence faster and more efficiently, then put it on devices people already own. That’s what we’re building at webAI. And we’re only beginning to share what’s coming out of our lab. Coming soon: Meridian, our family of frontier-class models built to run on device. Our most advanced models will be available through the @thewebAI application. Join the waitlist as we expand access. Proudly built in Austin, Texas. 🇺🇸
Introducing Griffin, the first model to pass the video Turing test. 48% of people who talked to it live thought it was a real human. Previous systems have had a pass rate <3%. It is #1 on NVIDIA's benchmark for full-duplex AI video. It’s the first Human Interaction Model (HIM).
今天我们推出 PROWL-2,智能体及其世界模型通过递归学习实现改进。 智能体暴露想象中的错误,修复这些错误又能促成进一步的学习。 我们相信,这种开放式学习是迈向超级智能的关键一步。
Ideogram 发布新模型 Ideogram 4.5,宣称编辑图像局部时保持其余部分不变,针对 GPT-Image 2.5 和 Nano Banana 仍易产生伪影的问题。模型提供四档质量,单张 0.8 到 22 美分,原生 2K 分辨率,已在 Ideogram 平台和 API 上线,合作方包括 Picsart、Runway、Pika 和 Leonardo AI,官方称开放权重版本即将发布。
AWS 发布开源决策模型 Strands Decider 2B,灵感来自 TypeSafe 的 Jev,可在预设选项间高速低成本地做选择并给出置信度。模型完全开源、可本地运行,由 Amazon 杰出工程师 Marc Brooker 的内部项目改进而来,基于 Qwen3.5-2B 的架构但不生成文本,而是输出校准后的选择,同一周 OpenAI 也宣布了类似产品。
Microsoft AI 发布实时流式转写模型 MAI-Transcribe-2-Streaming,在 Artificial Analysis 的最终与部分转写准确率均排名第一,支持 60 种语言,接收到音频后约 100ms 内产出首个 partials,内部评测显示实时听写场景出词速度比最接近的竞品快 2x,年底前 introductory 价 $0.54 每小时音频。
推荐理由:官方公布三款语音模型的具体定价、延迟数字和 Artificial Analysis 排名,可据此评估搭建语音智能体的成本与速度。
Viggle Turbo v0.3 for Qwen-Image-2.1 is out! - Less grain than v0.2.1, a touch softer - New 9-step mode: finer detail, small text - ComfyUI: LoRA or single-file int8/fp8/GGUF Model: https://huggingface.co/Viggle/Qwen-Image-2.1-viggle-turbo
Ai2 发布 Olmo-core 3,为 Olmo 框架带来重新设计的开源 MoE 训练系统,可扩展到万亿参数规模并保持计算效率。新实现从 FSDP 切换到基于 DDP 的方案,47B 参数 MoE 在 8 张 NVIDIA B300 上达到每 GPU 每秒 52,000 tokens,约为旧实现的 2.7 倍;启用 MXFP8 后吞吐比 BF16 高约 21%。
Google DeepMind 发布 Gemini 4 Argon,面向编码、企业知识工作和网络防御,自称在 19 项基准中的 13 项排名第一,输出上限提升到 1M token(此前为 64K)。
推荐理由:第三方评测给出各档成本对比数字,读者可以据此判断 GPT-6.1 Sol 在成本效率上的位置。
推荐理由:原文拆解了 GPT-6.1 Sol 单任务成本下降的具体构成,读者可以了解降价来自更少的轮次和更低的缓存读取价格。
Google 发布新旗舰模型 Gemini 4 Argon,是其七个多月来首款前沿模型,Artificial Analysis 测试中得 53 分,与 GPT-6 Astra (max)、Claude Fable 5.1 持平,但仍落后 Claude Opus 5.5 的 58 分。
推荐理由:原文汇总了第三方测试与定价细节,指出 Gemini 4 Argon 缩小差距但未领先,且单价优势来自低 token 价格而非效率。
Introducing Gemini 4 Argon – our new frontier model. It’s built for complex workflows across coding, enterprise knowledge work, and cybersecurity defense – rolling out today to a set of trusted testers through our Fairwind Program.
非常激动地分享,Gemini 4 Argon 即将到来。迫不及待想尽快跟大家分享更多内容。
Lots of discussion out there about our next model(!), so I wanted to give an early look as soon as possible. Introducing Gemini 4 Argon! It shows frontier performance in complex workflows, cyber defense and software engineering. Teams are using it extensively at Google, from coding to quantum computing, great feedback. Here’s a look at the benchmarks:
Google 发布新一代前沿模型 Gemini 4 Argon,称其在软件工程、法律金融等企业知识工作和网络安全防御方面具有前沿性能。初期仅向一组受信任的网络防御者开放,Google 正参与美国政府预发布模型访问的自愿流程并逐步扩大访问。模型已用于 Google 内部工作流,如大规模代码库迁移;Google 将在更广泛发布前加强防范滥用和提示词注入攻击、监测错位等安全措施。