The Perplexity App for Mac now has tabs, and sessions can be opened in separate windows. You can run tasks next to each other in parallel, or place sessions on different screens. Live now in version 26.37.1 for all Computer users on Mac.
X:Aravind Srinivas(Perplexity CEO)
@aravsrinivas · X
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Aravind Srinivas@AravSrinivasAI 评分3535引用Computer@AskPerplexity
Aravind Srinivas@AravSrinivasAI 评分4747你可以在 Computer 里构建自定义垂直 AI 应用,例如:用 3D 和卫星视图猜测一张图像的空间位置。
引用Computer@AskPerplexityComputer built a GeoGuessr LLM that poinpoints the location of an image, and shows all of its thinking steps. It used the Perplexity SDK for web search, local place lookups, source page retrieval, and visual clue extraction. It also used browser control to set up a Cesium account and API key for the 3D globe and satellite imagery.
Aravind Srinivas@AravSrinivasAI 评分3232
Aravind Srinivas@AravSrinivasAI 评分5555引用Computer@AskPerplexityHere are 5 examples of inline visualizations that Computer can create directly in your thread: 1. Show me how a jet engine works in an inline 3D cutaway.
Aravind Srinivas@AravSrinivasAI 评分3232引用Perplexity Developers@perplexitydevsWe're looking forward to working with the new @NVIDIA Vera CPU on SPACE.
Aravind Srinivas@AravSrinivasAI 评分2929你的创造力就是 Computer 能为你做什么的极限。这类项目你可以让智能体跑上几个小时,然后带回出色的成果。
引用Computer@AskPerplexityComputer built a 3D map of nearly 26,000 restaurants and cafes across all five boroughs of New York City. Search by dish or neighborhood, then step inside places like Peter Luger and Grand Central Oyster Bar.
Aravind Srinivas@AravSrinivasAI 评分5656Perplexity CEO Aravind Srinivas 汇总近期开源成果:pplx-decider-v1-27b 多模态决策模型在 11 个基准平均 85.7%。
Aravind Srinivas@AravSrinivasAI 评分1818引用Denis Bykov@denis_bykovHey, if you've tried any of @perplexity_ai APIs (Search, Agent, Embeddings, Decision, etc.) and were disappointed by anything, please DM me! Would be glad to learn what we should do better :)
Aravind Srinivas@AravSrinivasAI 评分5252引用Perplexity@perplexity_aiPerplexity Computer now creates interactive charts and visualizations directly in your thread. For financial data, Computer uses @tradingview Lightweight Charts for candlesticks, volume, and moving averages.
Aravind Srinivas@AravSrinivasAI 评分3737Computer 里的 Seedance 对营销和品牌团队来说相当惊艳!
引用Computer@AskPerplexityGenerate a commercial or brand video for your small business with Seedance 2.5 in Perplexity Computer. This commercial was created entirely inside Computer, including the brand look, product mockups, and full video edit.
Aravind Srinivas@AravSrinivasAI 评分3333
Aravind Srinivas@AravSrinivasAI 评分5353引用Perplexity@perplexity_aiWe built a new way to train contextual embedding models, which encode each chunk of a document with the whole document in view. pplx-embed-v2-context-9b-preview sets a new state of the art on ConTEB and @turbopuffer's new, privately held context-bench. https://www.perplexity.ai/hub/blog/contextual-embedding-beyond-the-gold-passage
Aravind Srinivas@AravSrinivas精选AI 评分6969引用Perplexity@perplexity_aiComputer now works in email. Send, forward, or cc computer@perplexity.com on any thread. Every email task runs as a normal session in Computer, viewable on web and mobile, with the same audit trail as any task in the app.
推荐理由:作者以当事方身份说明开放入口和限时免费政策,读者可以直接据此试用并了解其邮件代理工作方式。
Aravind Srinivas@AravSrinivasAI 评分3131剩下的唯一一步,就是戴上眼镜来投射这个。 (引用推文:计算机可以创建交互式 3D 图解,帮你直观理解家具组装之类的事情。)
引用Computer@AskPerplexityComputer can create interactive 3D diagrams to help you visualize things like furniture assembly.
Aravind Srinivas@AravSrinivasAI 评分6262引用Perplexity@perplexity_aiIntroducing Automations in Perplexity Computer. Automations are for ongoing work. They can take action in response to event-based triggers or on a schedule. Automations work with your memory, skills, and connected apps like Slack, Gmail, Outlook, and Linear.
@AravSrinivas@AravSrinivasAI 评分77 人一生中能做出这样的东西,算是如愿了。艺术与匠心。 https://t.co/DmLnS1flQ0

@AravSrinivas@AravSrinivasAI 评分88 让我们把它搞定 @jonathonstaff https://t.co/eqBVC99sFV https://t.co/4lhmWYyRUa

@AravSrinivas@AravSrinivasAI 评分66 完美的口袋电脑并不存… https://t.co/LT9fRSM7Z0

@AravSrinivas@AravSrinivas精选AI 评分6666 引用@deepseek_ai@deepseek_ai🚀 Introducing DeepSeek-V4.1-Flash: smarter, faster, more efficient. 🔹 Introducing the smallest model in our new architecture family, with native visual understanding. 🔹 Designed for greater capability, faster inference, higher throughput, and scaling to larger models. 1/6
推荐理由:DeepSeek 新架构家族最小模型亮相,配图给出它在四个基准上与其他模型的对比数据,可据此了解该型号的定位与表现。
@AravSrinivas@AravSrinivasAI 评分66 @AravSrinivas@AravSrinivasAI 评分4242
@AravSrinivas@AravSrinivasAI 评分4141 @AravSrinivas@AravSrinivasAI 评分2828 @AravSrinivas@AravSrinivasAI 评分5757 引用@OpenAI@OpenAIWe’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics. The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra. The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.
@AravSrinivas@AravSrinivasAI 评分4848 @AravSrinivas@AravSrinivasAI 评分5454 引用@perplexity_ai@perplexity_aiGPT-6 Astra is now available in Perplexity Computer for Pro and Max subscribers. https://t.co/v9zJOFNtOI
@AravSrinivas@AravSrinivasAI 评分1717 @AravSrinivas@AravSrinivasAI 评分3434 引用@perplexity_ai@perplexity_aiEvery answer in Perplexity starts with embedding and ranking models picking the most relevant results for the query. Today we published research on how we built SoTA serving infrastructure behind those models. Read the research: https://t.co/6Rt2XlxoXA https://t.co/ORGt9TjkR0
@AravSrinivas@AravSrinivasAI 评分2121 Perplexity 将参加 RustConf,介绍我们如何构建支撑整个 Perplexity Computer 的沙箱。https://t.co/SNUlHzM0V3
@AravSrinivas@AravSrinivasAI 评分99
@AravSrinivas@AravSrinivasAI 评分2424 Astra 在 computer use 方面也很出色。我们将把它引入 Comet,以及支撑所有 Computer 使用的云端浏览器沙盒。评测即将发布!
@AravSrinivas@AravSrinivasAI 评分6262 引用@perplexity_ai@perplexity_aiWe evaluated GPT-6 Astra on WANDR. It scored 0.682 at $11.98 per task, the highest score of any model we tested. GPT-6-Astra scored 13.5% higher than Fable 5.1 at 6.1% lower cost, and 27.0% higher than Opus 5 at 3.3% higher cost. https://t.co/SyYmD38qvq
@AravSrinivas@AravSrinivasAI 评分1212 这很酷。我们需要更多这类项目,来解决阻碍我们扩大智能体采用的功耗和内存/算力瓶颈。https://t.co/IbB4VQyAYY
@AravSrinivas@AravSrinivasAI 评分4343 Portable Computer(Perplexity Computer 的完全本地运行时)现已兼容 RTX(Linux)。Windows 版本即将推出!
引用@perplexity_ai@perplexity_aiPortable Computer is now available on Linux for @NVIDIA RTX GPUs with 24GB of VRAM or higher. https://t.co/ZhmnPISFEk
@AravSrinivas@AravSrinivas精选AI 评分8989 引用@JensenHuang@JensenHuangExciting day for NVIDIA and @huggingface. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. They allow every developer, startup, university, industry and country to build with, customize and benefit from AI. Thank you @ClementDelangue for coming to me. NVIDIA is going to be a great home for Hugging Face, its community and the future of open models. 🤗 https://t.co/q8Om2Xc5ye
推荐理由:NVIDIA 与 Hugging Face 的归属变动牵动开源模型生态,Perplexity CEO 从模型可访问性角度给出评价。
@AravSrinivas@AravSrinivasAI 评分2222