सो हेलो एवरीवन टुडे आवर टॉपिक ऑफ़ डिस्कशन इज द लैंग्वेज ऑफ़ बट बिफोर आई गेट देयर आई वांट यू ऑल टू थिंक अबाउट द वर्ल्ड रेवोल्यूशन व्हाट कम्स इन योर माइंड इज़ इट बायरी प्रोटेस्ट हो स्पीचेस और ट्राटिक अपीयर्स नाउ आई एम गोना स्टॉप यू देयर लेट मी फ्लिप दिस इमेजिन अ रेवोल्यूशन दैट डज़ रिक्वायर हेडलाइन विद नॉइस अ रेवोल्यूशन दैट ट्रांसफॉर्म्स द वर्ल्ड विथ क्वाइट पावरफुल एक्ट्स ऑफ़ कनेक्शन दैट लेडीज़ एंड जेंटलमैन वुड बी द रेवोल्यूशन व्हिच इज़ ऑल अबाउट ब्रेकिंग डाउन द इनविज़िबल वॉल्स दैट कीप असार एंड बिल्डिंग ब्रिजेस वेयर एव ...

机器之心报道 机器之心编辑部 开源社区的人应该对 vLLM 不陌生，它是一个由加州大学伯克利分校团队开发的高性能、开源 LLM 推理和服务引擎，核心目标是提升 LLM 的推理速度（吞吐 量）和资源利用率（尤其是内存），同时兼容 Hugging Face 等流行模型库。 简单来说，vLLM 能让 GPT、Mistral、LLaMA 等主流模型系列跑得更快、消耗更少资源，取得这些效果的关键是其创新的注意力机制实现方案 —— PagedAttention。 近日，DeepSeek AI 研究者、深度学习系统工程师俞星凯 从零开始构建了一个轻量级 vLLM 实现 ——Nano-vLLM，将代码简化到了 1200 行 。 | Inference Engine | Output Tokens | Time (s) | Throughput (tokens/s) | | --- | --- | --- | --- | | vLLM | 133,966 | 98.95 | 1353.86 | | Nano-vLLM | 133,966 | 101.90 | 1314.65 | 作者简介 GitHub 地址：https://g ...

Core Viewpoint - Apple is aiming to launch an AI-powered upgrade of its Siri voice assistant in spring 2026, after multiple delays from its original target of fall 2024 [1][2][3] Group 1: Release Timeline - The initial announcement for Siri's new features was made in June 2024, with a planned launch in fall 2024 [2][3] - The release date was later pushed to spring 2025 and then postponed to sometime in the coming year [3] - Apple has indicated that the new features could be previewed in the fall before the spring release [2] Group 2: Technical Challenges - Technical challenges have necessitated a complete rebuild of Siri, leading to shifts in management responsibilities within Apple [3] - Apple CEO Tim Cook acknowledged the need for "more time" to enhance Siri's AI capabilities during a quarterly earnings call [4][5] - Employees who recently left the company reported difficulties in updating Siri with advanced large language models (LLMs) for improved responses [5] Group 3: Competitive Landscape - Apple's cautious approach to generative AI contrasts with competitors like Amazon, Google, and Microsoft, which are aggressively adopting LLMs and enterprise-scale AI solutions [6]

[Applause] Up next, John Shirley will share her insights on mastering communication beyond speaking fluently. Please welcome Okay, before I begin with my speech, I would like a show of hands. How many of you here know how to speak English.Great. Now, how many of you here believe that your ability to speak English is just as good as your grammar. Wow.Cut that number. Honestly, I was going to say cut that number more than half, but that was way more than that. So, let me tell you a little story.Picture this. ...

Xcode can now use large language models such as ChatGPT to provide coding assistance. You can ask general questions about Swift — like “tell me about swift concurrency”. And because of the integration with Xcode, the model can take your code into consideration and answer specific questions about your project, or even make changes on your behalf. ...

大模型≠随机鹦鹉！Nature子刊最新研究证明： 大模型内部存在着类似人类对现实世界概念的理解。 LLM能理解现实世界和各种抽象概念吗？还是仅仅在"鹦鹉学舌"，纯粹依靠统计概率预测下一个token? 长期以 来，AI社区对这一问题存在很大的分歧。 有一种猜测是，纯粹基于语言的形式（例如训练语料库中token的条件分布）进行训练的语言模型不会获得任何语 义。 相反，它们仅仅是根据从训练数据中收集的表面统计相关性来生成文本，其强大的涌现能力则归因于模型和训练 数据的规模。这部分人将LLM称为"随机鹦鹉"。 但现在研究证明，并非如此！ 中国科学院自动化研究所与脑科学与智能技术卓越创新中心的联合团队 在 《Nature Machine Intelligence》 发表 题为 《Human-like object concept representations emerge naturally in multimodal large language models》 的研 究。 | Received: 26 June 2024 | Changde Du@ 12, Kaicheng Fu1-2, Bincheng Wen ...

The FoundationModels framework gives you access to the on-device Large Language Model that powers Apple Intelligence, with a convenient and powerful Swift API. You can use it to enhance existing features in your apps, like providing personalized search suggestions. Or you can create completely new features, like generating an itinerary in a travel app, all on-device. You can even use it to create dialog on-the-fly for characters in a game.It is optimized for generating content, summarizing text, analyzing u ...

Hi, I'm Robert. I'm the co-founder and CTO at Wordware. And at Wordware, I've personally helped hundreds of teams build reliable AI agents.I'm here to share a few of the insights that we got, especially when it comes to tools. Um, really agentic MCPs, giving your tools time to think. Before I worked on uh LLMs and agents, I used to work on self-driving cars, and really, you know, building high reliable systems is in my blood.So, uh, yeah, here we go. The promise of agents are automated systems that can take ...

Hi, I'm Philip and I'm the CEO at Wordware. Today I want to talk to you about what sucks about chatbased interfaces, how documents can actually solve those issues and how do they lead to um background agents that do tasks for you in the or in the background. So firstly, let's start with what are the problems with chatbased systems.When I interact with um cla or open AI, it all seems very affirmal. um I end up often creating workflows for myself using projects or just copy pasting stuff and in that way when ...

Summary of Cerence (CRNC) Conference Call - June 10, 2025 Company Overview - Cerence is a global leader in voice AI interaction within the automotive industry, spun off from Nuance Communication in 2019, focusing on automotive software solutions [4][5] - The company claims over 50% penetration in the global automotive market, with technology implemented in over 500 million vehicles [5][6] Key Points Market Position and Growth - Cerence is well-positioned in a growing market for automotive software, with strong relationships with major automotive OEMs [6] - The company has a unique market position with higher margins and less exposure to tariffs compared to other suppliers [8][10] Tariff Impact - As a software company, Cerence is not directly impacted by tariffs, but there are concerns about overall production implications [10][11] - The company anticipates limited production concerns for the upcoming quarter, despite potential tariff impacts [19][20] China Market - Cerence faces challenges penetrating the Chinese market due to strong local competition but maintains relationships with large Chinese OEMs for exports outside of China [12][13] - The company sees potential growth in relationships with Chinese OEMs for their products outside of China [13][15] Revenue and Royalties - Pro forma royalties have been relatively flat over the past year, with expectations for growth tied to new product launches and pricing strategies [20][21] - The company has seen a decline in prepaid license revenue, with a target of around $20 million for the current year [23][24] Pricing Per Unit (PPU) - The PPU metric has shown growth, increasing from $450 to $487 over the trailing twelve months, with expectations for further growth as new products are launched [25][26] - The company aims to increase PPU through higher penetration of its technology in vehicles and the introduction of more valuable AI products [30][31] AI Product Development - Cerence is excited about the upcoming XUI product, which will integrate a large language model for enhanced voice interaction capabilities in vehicles [45][46] - The XUI product aims to provide a unified interface for both embedded and connected features, enhancing user experience [34][60] Competitive Landscape - Competition comes from both big tech companies and smaller competitors, but Cerence believes its proven implementation capabilities give it an advantage [50][51] - There is a reluctance among OEMs to adopt big tech solutions, favoring branded experiences instead [62] Additional Insights - The company is focused on creating win-win situations with OEMs by potentially reducing costs while increasing capabilities [41][43] - Cerence is exploring ways to enhance user interaction through multimodal capabilities, allowing for more natural voice commands [39][40] This summary captures the essential points discussed during the conference call, highlighting Cerence's market position, challenges, and future growth strategies.