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15,752 条AI 相关新闻 · 最新在前

5月1日周五

星期五

01:25
@googleaidevs@googleaidevsAI 评分5454
Google AI for Developers 宣布 Gemini Embedding 2 正式可用（GA），该模型将文本、图像、视频、音频和文档映射到统一的嵌入空间。官方表示其能力可覆盖智能体多模态 RAG 与视觉搜索等场景。
产品 #模型发布 #多模态 #RAG
01:07
@MiniMax_AI@minimax_aiAI 评分2121
如此美妙的夜晚🥂 很高兴 @kenyeung128 和 @Wati_io 团队加入！非常感谢 @boltdotnew 促成此事，也感谢 @UnicornerNews 与我们共同主办。
引用Ken Yeung (@kenyeung128)@kenyeung128
Great night at the AI Champions Dinner in SF. Huge thanks to @MiniMax_AI, @Unicorner, and @bolt_new for bringing this group together @EricSimons @tweetsbygarrett ! The highlight of the night was the conversation around how we shift AI from just a product collaboration tool into something that drives genuine human connection. That is exactly how we are building at @wati_io. AI handles the complexity, so you can connect with humans at scale. 📷📷
行业 #行业动态 #现象/趋势
00:50
@MiniMax_AI@minimax_aiAI 评分66
在 @stripe Sessions 的第一天太火爆了 🔥 我们的展位一整天都挤满了精彩的交流。感谢大家的热情！第二天开始了。来 604 展位找我们 👋
行业 #行业动态

4月30日周四

星期四

04:00
@googleaidevs@googleaidevsAI 评分5555
Google AI for Developers 展示了 Gemini 3.1 Flash Live 的实时 DJ 演示，该模型通过 function calling 调用 Gemini API，用 Lyria 3 生成自定义的 30 秒音频片段。演示由 @thorwebdev 提供，用户可在 Google AI Studio 中开启自己的 studio session，链接为 goo.gle/3PbcCXJ。
产品 #产品更新 #MCP/工具调用 #多模态

4月29日周三

星期三

23:34
@SultanAlFardan@sultanalfardanAI 评分6060
商汤开源 SenseNova U1 Lite 系列，基于 NEO-Unify 架构在单一模型中统一多模态理解与图像生成。该系列包含 8B 和 A3B 两个紧凑规格，官方称在多项理解、推理和生成基准上取得开源模型中的领先效率。模型支持文图交错生成与高密度信息渲染，权重已发布在 Hugging Face 和 GitHub。
引用SenseTime (@SenseTime_AI)@SenseTime_AI
𝗦𝗲𝗻𝘀𝗲𝗡𝗼𝘃𝗮 𝗨1 𝗟𝗶𝘁𝗲 𝗦𝗲𝗿𝗶𝗲𝘀 𝗶𝘀 𝗻𝗼𝘄 𝗼𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲! Built on the 𝗡𝗘𝗢-𝘂𝗻𝗶𝗳𝘆 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲, it natively unifies multimodal understanding and generation, delivering: •𝗦𝗢𝗧𝗔 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗔𝗺𝗼𝗻𝗴 𝗢𝗽𝗲𝗻-𝗦𝗼𝘂𝗿𝗰𝗲 𝗠𝗼𝗱𝗲𝗹𝘀: Compact models (8B & A3B) delivering commercial-grade performance and exceptional cost efficiency. Leading performance among open-source models across a wide range of understanding, reasoning, and generation benchmarks. •𝗡𝗮𝘁𝗶𝘃𝗲 𝗜𝗺𝗮𝗴𝗲–𝗧𝗲𝘅𝘁 𝗜𝗻𝘁𝗲𝗿𝗹𝗲𝗮𝘃𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻: Generate coherent interleaved text and images in a single flow using one model; ideal for practical applications like guides, where visuals turn complex information into intuitive insights. •𝗛𝗶𝗴𝗵-𝗗𝗲𝗻𝘀𝗶𝘁𝘆 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗥𝗲𝗻𝗱𝗲𝗿𝗶𝗻𝗴: Strong capabilities in dense visual communication, generating richly structured layouts for knowledge illustrations, posters, PPTs, comics and other information-rich formats. 𝗛𝘂𝗴𝗴𝗶𝗻𝗴 𝗙𝗮𝗰𝗲: huggingface.co/collections/s… 𝗚𝗶𝘁𝗛𝘂𝗯: github.com/OpenSenseNova/Sen… 𝗗𝗶𝘀𝗰𝗼𝗿𝗱: discord.gg/cxkwXWjp @huggingface @github
模型 #模型发布 #多模态 #图像生成
21:55
@TencentHunyuan@tencenthunyuan精选AI 评分6666
腾讯混元开源 Hy-MT1.5-1.8B-1.25bit 翻译模型，该模型仅 440MB，可在手机完全离线运行，支持 33 种语言。1.8B 参数在标准基准上匹配商业翻译 API 和 235B 规模模型，量化到 1.25-bit 后内存从 3.3GB（FP16）降至 440MB，比之前 1.67-bit 方案小 25%、快约 10%，且无精度损失。
模型 #模型发布 #端侧 #开源生态
推荐理由：1.8B 翻译模型量化到 1.25bit 后仅 440MB，可在手机离线运行，为端侧模型压缩提供参考。
16:06
@Jawad_Rahman_@jawad_rahman_AI 评分5858
商汤开源 SenseNova U1 Lite 系列，基于 NEO-unify 架构原生统一多模态理解与生成，提供 8B 和 A3B 两个紧凑规格。官方称其在开源模型中于理解、推理和生成基准上表现领先，可在单一模型内生成文本与图像交错的连贯内容，并支持知识插图、海报、PPT、漫画等高密度结构化排版。模型已在 Hugging Face、GitHub 和 Discord 开放。
引用SenseTime (@SenseTime_AI)@SenseTime_AI
𝗦𝗲𝗻𝘀𝗲𝗡𝗼𝘃𝗮 𝗨1 𝗟𝗶𝘁𝗲 𝗦𝗲𝗿𝗶𝗲𝘀 𝗶𝘀 𝗻𝗼𝘄 𝗼𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲! Built on the 𝗡𝗘𝗢-𝘂𝗻𝗶𝗳𝘆 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲, it natively unifies multimodal understanding and generation, delivering: •𝗦𝗢𝗧𝗔 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗔𝗺𝗼𝗻𝗴 𝗢𝗽𝗲𝗻-𝗦𝗼𝘂𝗿𝗰𝗲 𝗠𝗼𝗱𝗲𝗹𝘀: Compact models (8B & A3B) delivering commercial-grade performance and exceptional cost efficiency. Leading performance among open-source models across a wide range of understanding, reasoning, and generation benchmarks. •𝗡𝗮𝘁𝗶𝘃𝗲 𝗜𝗺𝗮𝗴𝗲–𝗧𝗲𝘅𝘁 𝗜𝗻𝘁𝗲𝗿𝗹𝗲𝗮𝘃𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻: Generate coherent interleaved text and images in a single flow using one model; ideal for practical applications like guides, where visuals turn complex information into intuitive insights. •𝗛𝗶𝗴𝗵-𝗗𝗲𝗻𝘀𝗶𝘁𝘆 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗥𝗲𝗻𝗱𝗲𝗿𝗶𝗻𝗴: Strong capabilities in dense visual communication, generating richly structured layouts for knowledge illustrations, posters, PPTs, comics and other information-rich formats. 𝗛𝘂𝗴𝗴𝗶𝗻𝗴 𝗙𝗮𝗰𝗲: huggingface.co/collections/s… 𝗚𝗶𝘁𝗛𝘂𝗯: github.com/OpenSenseNova/Sen… 𝗗𝗶𝘀𝗰𝗼𝗿𝗱: discord.gg/cxkwXWjp @huggingface @github
模型 #模型发布 #多模态 #开源生态
15:15
@Hey_AsiiF@hey_asiifAI 评分6363
SenseNova U1 Lite 系列现已开源，基于 NEO-unify 架构，原生统一多模态理解与生成，提供 8B 和 A3B 两个规格，作者称在开源模型中具备领先的效率。该系列支持单一模型生成连贯的文图交错内容，并具备高密度信息渲染能力，可用于知识插图、海报、PPT 和漫画等结构化版面。模型已在 Hugging Face、GitHub 和 Discord 提供获取入口。
引用SenseTime (@SenseTime_AI)@SenseTime_AI
𝗦𝗲𝗻𝘀𝗲𝗡𝗼𝘃𝗮 𝗨1 𝗟𝗶𝘁𝗲 𝗦𝗲𝗿𝗶𝗲𝘀 𝗶𝘀 𝗻𝗼𝘄 𝗼𝗽𝗲𝗻 𝘀𝗼𝘂𝗿𝗰𝗲! Built on the 𝗡𝗘𝗢-𝘂𝗻𝗶𝗳𝘆 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲, it natively unifies multimodal understanding and generation, delivering: •𝗦𝗢𝗧𝗔 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗔𝗺𝗼𝗻𝗴 𝗢𝗽𝗲𝗻-𝗦𝗼𝘂𝗿𝗰𝗲 𝗠𝗼𝗱𝗲𝗹𝘀: Compact models (8B & A3B) delivering commercial-grade performance and exceptional cost efficiency. Leading performance among open-source models across a wide range of understanding, reasoning, and generation benchmarks. •𝗡𝗮𝘁𝗶𝘃𝗲 𝗜𝗺𝗮𝗴𝗲–𝗧𝗲𝘅𝘁 𝗜𝗻𝘁𝗲𝗿𝗹𝗲𝗮𝘃𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻: Generate coherent interleaved text and images in a single flow using one model; ideal for practical applications like guides, where visuals turn complex information into intuitive insights. •𝗛𝗶𝗴𝗵-𝗗𝗲𝗻𝘀𝗶𝘁𝘆 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗥𝗲𝗻𝗱𝗲𝗿𝗶𝗻𝗴: Strong capabilities in dense visual communication, generating richly structured layouts for knowledge illustrations, posters, PPTs, comics and other information-rich formats. 𝗛𝘂𝗴𝗴𝗶𝗻𝗴 𝗙𝗮𝗰𝗲: huggingface.co/collections/s… 𝗚𝗶𝘁𝗛𝘂𝗯: github.com/OpenSenseNova/Sen… 𝗗𝗶𝘀𝗰𝗼𝗿𝗱: discord.gg/cxkwXWjp @huggingface @github
模型 #模型发布 #多模态 #开源生态
10:20
DeepSeek@deepseek_aiAI 评分3535
DeepSeek-V4-Pro 折扣已延长至 2026 年 5 月 31 日 15:59 UTC！
引用DeepSeek@deepseek_ai
🔥DeepSeek-V4-Pro API is 75% OFF until May 5th, 2026, 15:59 (UTC Time)! Don't miss out on this massive discount. 🛠️Integration Updates: 🔹Claude Code: Set model to deepseek-v4-pro[1m] to unlock 1M context! 🔹OpenCode: Update to v1.14.24+ 🔹OpenClaw: Update to v2026.4.24+ Check the latest official API docs for full details: https://api-docs.deepseek.com/quick_start/pricing
行业 #产品更新 #DeepSeek
00:11
@MiniMax_AI@minimax_aiAI 评分3333
很高兴为 @mira_t_me 在 Telegram 上的 AI 智能体提供支持——多模态、大规模、面向日常用户。欢迎加入生态 🤝
引用Mira (@mira_t_me)@mira_t_me
We're partnering with @MiniMax_AI — the core model powering Mira Best price-to-quality ratio we've tested. Built in Shanghai, used by 236M+ users worldwide. Fast, multimodal, and scales. The future of AI agents runs on great infrastructure 🤝
行业 #行业动态 #Agent #多模态