Tag
Elon Musk responded to a claim that the Grok bot can now see and answer questions about content on your phone's screen via the action button. The original post describes capabilities like analyzing videos, reels, and articles in real time.
OpenAI posts a short teaser asking which future users want to build, linking to further content on their site.
Chandra OCR 2.6 发布，宣称在 API 上比前沿模型更快、更便宜且更准确，超越 Gemini Flash、Opus 和 Sol，成本降低 5-15 倍，速度提升 2-10 倍。
OpenAI released GPT-6.1 Terra, a midrange model emphasizing visual reasoning, computer use, and clearer writing, priced at $1/M input and $5/M output tokens — roughly half the cost of GPT-6.1 Sol.
OpenAI 发布 GPT-6.1 Terra，一款兼顾视觉推理、计算机操作与自然写作的高效模型，API 价格较 GPT-5.6 Terra 低 50%，在 Agents' Last Exam、MMMU-Pro、OSWorld 2.1 和 Terminal-Bench 4.0 等基准上大幅提升，同时显著降低幻觉与事实错误率。
研究表明乌鸦在随机点运动任务中评估视觉信息的速度是哺乳动物的两倍，揭示了没有新皮层的鸟类大脑如何编码决策。
Liquid AI 发布 LFM3-Omni-2B，其 LFM3 家族首款全模态模型，可理解文本、图像、视频和音频，并以文本和语音作答，专为手机、笔记本等边缘设备设计，2.2B 参数即可替代独立的 ASR、VLM、LLM 和 TTS 模型。
Nace releases Drex Max 2.0, a 27B multimodal decision model for computer-use agents that scores options in a single forward pass with millisecond latency, priced at $0.06 per million input tokens via the Nace API.
MiniMax 宣布此前以 "Space Bunny" 匿名现身的模型其实是 M3.1 Flash 的早期版本，其在 DeepSWE 编码上得 74%、BabyVision 视觉推理上得 91%，速度是 M3 的 3 倍而成本仅三分之一，适合长时间运行的智能体任务。
TypeSafe's Jev decision model now supports multimodal input with a new Box question type and assets field, returning structured, schema-safe answers (choice, noul, score, box) with probabilities directly usable in code instead of parsing free-form LLM JSON output.
发布了一个名为 Cajal-1 的 2.18 亿参数全脑皮层编码模型，基于 2000 人观看影片、电视和图片时的 fMRI 数据训练，可预测视觉、听觉和语言刺激在 20,484 个皮层位置上的响应。模型与 Colab 演示已在 Hugging Face 上开源。
nazeshinjite 发布了 DeepSeek V4.1 Flash 1017 的 3.91bpw GGUF 量化版本，面向 antirez 的 DwarfStar (ds4) 推理引擎，采用 SSD 流式加载，可在 128GB Mac 上以最高 20tps 解码。
A hands-on benchmark of TypeSafe's Jev 1.14 image input and new Box (bounding-box) output across 48 labeled COCO photos, finding strong yes/no accuracy (98.4%) but notable pitfalls: Box never answers "not found", confidence thresholds don't transfer between model versions, and wording strongly affects probabilities. The author recommends pairing every Box with a presence check, per-question thresholds, and pinning the model version.
Jev decision model now supports multimodal input, allowing images in both state and questions, plus a new Box type that returns YOLO-style bounding boxes for object localization. The update also supports parallel question answering for interactive vision applications, with images and Box still in experimental status.
Jev 推出多模态视觉能力，作者通过视频演示了如何使用 Jev 处理图像、并行提问及具体注意事项。
推文评价 DeepSeek v4.1 Flash 在空间与视觉理解方面表现优异，认为明显优于 GLM 5.3 Flash。
Sam Altman 分享关于让每个人都能使用 AI 的愿景，强调 AI 能让个人以有限预算完成过去需要整个团队才能做到的事情，释放人类潜能。
Basalt, a Blackwell-tuned inference engine forked from Strata for Qwen 3.8 Flash Next, introduces dynamic vision encoding that keeps the image encoder in RAM when idle to save VRAM, uploading it only when an image arrives with near-zero text-inference overhead. The team also shared commit hashes so developers can port the technique to their own engines.
Rohan Paul highlights comments from Meta chief AI officer Alexandr Wang on the 'escalator of agency' concept, where products like Muse aim to preserve childhood ambition by helping people pursue increasingly bigger dreams throughout their lives.
The vLLM Semantic Router team released Decision 3.0 (d3), an open-source (Apache-2.0) multimodal decision model family from 0.6B to 27B that handles text, images, and video, ranking #1 on both Jev Decision Index boards with zero-shot video performance.